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<rss xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:podcast="https://podcastindex.org/namespace/1.0" xmlns:media="http://search.yahoo.com/mrss/" version="2.0"><channel><title>Adventures in Machine Learning</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning</link><description><![CDATA[Machine Learning is growing in leaps and bounds both in capability and adoption. Listen to our experts discuss the ideas and fundamentals needed to succeed as a Machine Learning Engineer.<br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><atom:link href="https://www.spreaker.com/show/6102041/episodes/feed" rel="self" type="application/rss+xml"/><language>en</language><category>Technology</category><copyright>Copyright Charles M Wood</copyright><image><url>https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg</url><title>Adventures in Machine Learning</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning</link></image><lastBuildDate>Fri, 04 Apr 2025 02:07:49 +0000</lastBuildDate><itunes:author>Charles M Wood</itunes:author><itunes:owner><itunes:name>Charles M Wood</itunes:name><itunes:email>chuck@topenddevs.com</itunes:email></itunes:owner><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:subtitle>Machine Learning is growing in leaps and bounds both in capability and adoption. Listen to our experts discuss the ideas and fundamentals needed to succeed as a Machine Learning Engineer.</itunes:subtitle><itunes:summary><![CDATA[Machine Learning is growing in leaps and bounds both in capability and adoption. Listen to our experts discuss the ideas and fundamentals needed to succeed as a Machine Learning Engineer.<br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:category text="Technology"/><itunes:category text="Education"><itunes:category text="How To"/></itunes:category><itunes:category text="Business"><itunes:category text="Careers"/></itunes:category><itunes:explicit>false</itunes:explicit><podcast:guid>ee8851d2-c6b7-5dad-b8be-3be694aafe71</podcast:guid><itunes:type>episodic</itunes:type><podcast:funding url="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&amp;utm_medium=rss&amp;utm_campaign=rss">Support the podcast!</podcast:funding><item><title>Why Authenticity Beats Algorithms: The New Rules of Digital Marketing - ML 185</title><link>https://www.spreaker.com/episode/why-authenticity-beats-algorithms-the-new-rules-of-digital-marketing-ml-185--65173322</link><description><![CDATA[In this episode, we dive deep into the evolving landscape of digital marketing and brand storytelling. We explore how the intersection of authenticity, community, and technology is reshaping how brands connect with people—and why it's no longer just about the product, but about the experience.<br /><br />We talk about how we've shifted our focus from performance-only metrics to a more holistic approach, blending creativity with strategy. There's a big emphasis on human-first marketing—building trust, showing up consistently, and leading with values that resonate.<br /><br />We also reflect on the role of content creators and influencers in today’s market, and how brands can partner more meaningfully instead of just transacting for reach. It’s about collaboration, not commodification.<br /><br />Key takeaways:<ul><li>Authenticity wins. Audiences can tell when it’s forced.</li><li>Content isn't king—connection is.</li><li>Brand loyalty is built through trust, not just a strong call to action.</li><li>It’s time to ditch the funnel mindset and embrace more circular, relationship-driven marketing.</li><li>Data is powerful, but gut instinct and creativity still matter—a lot.</li></ul>Whether you’re a marketer, entrepreneur, or creator, there’s something in here for you. Let’s keep pushing the industry forward—together.<br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/65173322</guid><pubDate>Fri, 04 Apr 2025 01:57:47 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/65173322/ml_185.mp3" length="54640589" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/44e4e248-6935-4b3f-afe5-c1ae9fa7c274/44e4e248-6935-4b3f-afe5-c1ae9fa7c274.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/44e4e248-6935-4b3f-afe5-c1ae9fa7c274/44e4e248-6935-4b3f-afe5-c1ae9fa7c274.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/44e4e248-6935-4b3f-afe5-c1ae9fa7c274/44e4e248-6935-4b3f-afe5-c1ae9fa7c274.vtt" type="text/vtt" language="en"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>In this episode, we dive deep into the evolving landscape of digital marketing and brand storytelling. We explore how the intersection of authenticity, community, and technology is reshaping how brands connect with people—and why it's no longer just...</itunes:subtitle><itunes:summary><![CDATA[In this episode, we dive deep into the evolving landscape of digital marketing and brand storytelling. We explore how the intersection of authenticity, community, and technology is reshaping how brands connect with people—and why it's no longer just about the product, but about the experience.<br /><br />We talk about how we've shifted our focus from performance-only metrics to a more holistic approach, blending creativity with strategy. There's a big emphasis on human-first marketing—building trust, showing up consistently, and leading with values that resonate.<br /><br />We also reflect on the role of content creators and influencers in today’s market, and how brands can partner more meaningfully instead of just transacting for reach. It’s about collaboration, not commodification.<br /><br />Key takeaways:<ul><li>Authenticity wins. Audiences can tell when it’s forced.</li><li>Content isn't king—connection is.</li><li>Brand loyalty is built through trust, not just a strong call to action.</li><li>It’s time to ditch the funnel mindset and embrace more circular, relationship-driven marketing.</li><li>Data is powerful, but gut instinct and creativity still matter—a lot.</li></ul>Whether you’re a marketer, entrepreneur, or creator, there’s something in here for you. Let’s keep pushing the industry forward—together.<br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3337</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/c86137e6317e43ebacc3e65cadc2d6f8.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Integrating Business Needs and Technical Skills in Effective Model Serving Deployments - ML 184</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/integrating-business-needs-and-technical-skills-in-effective-model-serving-deployments-ml-184</link><description><![CDATA[Welcome back to another episode of Adventures in Machine Learning, where hosts Michael Berk and Ben Wilson delve into the intricate process of implementing model serving solutions. In this episode, they explore a detailed case study focused on enhancing search functionality with a particular emphasis on a hot dog recipe search engine. The discussion takes you through the entire development loop, beginning with understanding product requirements and success criteria, moving through prototyping and tool selection, and culminating in team collaboration and stakeholder engagement. Michael and Ben share their insights on optimizing for quick signal in design, leveraging existing tools, and ensuring service stability. If you're eager to learn about effective development strategies in machine learning projects, this episode is packed with valuable lessons and behind-the-scenes engineering perspectives. Join us as we navigate the challenges and triumphs of building impactful search solutions.<br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/64345179</guid><pubDate>Thu, 13 Feb 2025 22:53:21 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/64345179/ml_184.mp3" length="50636539" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/d766dd4e-0565-4137-930e-50a38813bc7a/d766dd4e-0565-4137-930e-50a38813bc7a.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/d766dd4e-0565-4137-930e-50a38813bc7a/d766dd4e-0565-4137-930e-50a38813bc7a.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/d766dd4e-0565-4137-930e-50a38813bc7a/d766dd4e-0565-4137-930e-50a38813bc7a.vtt" type="text/vtt" language="en"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Welcome back to another episode of Adventures in Machine Learning, where hosts Michael Berk and Ben Wilson delve into the intricate process of implementing model serving solutions. In this episode, they explore a detailed case study focused on...</itunes:subtitle><itunes:summary><![CDATA[Welcome back to another episode of Adventures in Machine Learning, where hosts Michael Berk and Ben Wilson delve into the intricate process of implementing model serving solutions. In this episode, they explore a detailed case study focused on enhancing search functionality with a particular emphasis on a hot dog recipe search engine. The discussion takes you through the entire development loop, beginning with understanding product requirements and success criteria, moving through prototyping and tool selection, and culminating in team collaboration and stakeholder engagement. Michael and Ben share their insights on optimizing for quick signal in design, leveraging existing tools, and ensuring service stability. If you're eager to learn about effective development strategies in machine learning projects, this episode is packed with valuable lessons and behind-the-scenes engineering perspectives. Join us as we navigate the challenges and triumphs of building impactful search solutions.<br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3086</itunes:duration><itunes:keywords>adventures,collaboration,data,databricks,dog,elasticsearch,engine,engineering,hot,in,learning,machine,mlflow,model,planning,quarterly,recipes,regression,search,serving</itunes:keywords><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/c86137e6317e43ebacc3e65cadc2d6f8.jpg"/><itunes:episode>184</itunes:episode><itunes:episodeType>full</itunes:episodeType></item><item><title>Navigating Common Pitfalls in Data Science: Lessons from Pierpaolo Hipolito - ML 183</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/navigating-common-pitfalls-in-data-science-lessons-from-pierpaolo-hipolito-ml-183-366d825b-a921-4796-b5eb-2e54be5d2139</link><description><![CDATA[Welcome to another insightful episode of Top End Devs, where we delve into the fascinating world of machine learning and data science. In this episode, host Charles Max Wood is joined by special guest Pierpaolo Hipolito, a data scientist at the SAS Institute in the UK. Together, they explore the intriguing paradoxes of data science, discussing how these paradoxes can impact the accuracy of machine learning models and providing insights on how to mitigate them.<br /><br />Pierpaolo shares his expertise on causal reasoning in machine learning, drawing from his master's research and contributions to Towards Data Science and other notable publications. He elaborates on the complexities of data modeling during the early stages of the COVID-19 pandemic, highlighting the use of simulation and synthetic data to address data sparsity.<br /><br />Throughout the conversation, the focus remains on the importance of understanding the underlying system being modeled, the role of feature engineering, and strategies for avoiding common pitfalls in data science. Whether you are a seasoned data scientist or just starting out, this episode offers valuable perspectives on enhancing the reliability and interpretability of your machine learning models.<br /><br />Tune in for a deep dive into the paradoxes of data science, practical advice on feature interaction, and the importance of accurate data representation in achieving meaningful insights.<br /><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/63721179</guid><pubDate>Fri, 24 Jan 2025 03:31:21 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/63721179/ml_183.mp3" length="40954513" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/816ea215-88c1-4358-b9ec-9289b6d181cc/816ea215-88c1-4358-b9ec-9289b6d181cc.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/816ea215-88c1-4358-b9ec-9289b6d181cc/816ea215-88c1-4358-b9ec-9289b6d181cc.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/816ea215-88c1-4358-b9ec-9289b6d181cc/816ea215-88c1-4358-b9ec-9289b6d181cc.vtt" type="text/vtt" language="en"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Welcome to another insightful episode of Top End Devs, where we delve into the fascinating world of machine learning and data science. In this episode, host Charles Max Wood is joined by special guest Pierpaolo Hipolito, a data scientist at the SAS...</itunes:subtitle><itunes:summary><![CDATA[Welcome to another insightful episode of Top End Devs, where we delve into the fascinating world of machine learning and data science. In this episode, host Charles Max Wood is joined by special guest Pierpaolo Hipolito, a data scientist at the SAS Institute in the UK. Together, they explore the intriguing paradoxes of data science, discussing how these paradoxes can impact the accuracy of machine learning models and providing insights on how to mitigate them.<br /><br />Pierpaolo shares his expertise on causal reasoning in machine learning, drawing from his master's research and contributions to Towards Data Science and other notable publications. He elaborates on the complexities of data modeling during the early stages of the COVID-19 pandemic, highlighting the use of simulation and synthetic data to address data sparsity.<br /><br />Throughout the conversation, the focus remains on the importance of understanding the underlying system being modeled, the role of feature engineering, and strategies for avoiding common pitfalls in data science. Whether you are a seasoned data scientist or just starting out, this episode offers valuable perspectives on enhancing the reliability and interpretability of your machine learning models.<br /><br />Tune in for a deep dive into the paradoxes of data science, practical advice on feature interaction, and the importance of accurate data representation in achieving meaningful insights.<br /><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3308</itunes:duration><itunes:keywords>ben,causal,charles,covid,data,hipolito,institute,learning,machine,max,modeling,models,pierpaolo,reasoning,sas,science,simulation,synthetic,wilson,wood</itunes:keywords><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/c86137e6317e43ebacc3e65cadc2d6f8.jpg"/><itunes:episode>183</itunes:episode><itunes:episodeType>full</itunes:episodeType></item><item><title>Cows, Camels, and the Human Brain - ML 182</title><link>https://www.spreaker.com/episode/cows-camels-and-the-human-brain-ml-182--63616547</link><description><![CDATA[What do cows and camels have to do with the human brain? The latest developments in machine learning, of course! In this episode, Michael and Ben dive into a new white paper from Facebook AI researchers that reveals a LOT about the future of modeling. They discuss “cows and camels”, the question of predictive vs causal modeling, and how algorithms are getting scary good at emulating the human brain these days.<br />In This Episode<br />Why Facebook’s new research is VERY exciting for AI learning and causality (but what does it have to do with cows and camels?)<br /> The answer to “Is predictive or causal modeling more accurate?” (and why it’s not the best question to ask)<br /> Not sure if you need machine learning or just plain data modeling? Michael lays it out for you<br /> What algorithms are learning about human behavior to accurately emulate the human brain in 2022 and beyond<br /><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/63616547</guid><pubDate>Thu, 09 Jan 2025 11:57:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/63616547/ml_182.mp3" length="31562657" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/745c6c5c-afb7-4b9b-a9e1-ae3d54343fdd/745c6c5c-afb7-4b9b-a9e1-ae3d54343fdd.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/745c6c5c-afb7-4b9b-a9e1-ae3d54343fdd/745c6c5c-afb7-4b9b-a9e1-ae3d54343fdd.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/745c6c5c-afb7-4b9b-a9e1-ae3d54343fdd/745c6c5c-afb7-4b9b-a9e1-ae3d54343fdd.vtt" type="text/vtt" language="en"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>What do cows and camels have to do with the human brain? The latest developments in machine learning, of course! In this episode, Michael and Ben dive into a new white paper from Facebook AI researchers that reveals a LOT about the future of modeling....</itunes:subtitle><itunes:summary><![CDATA[What do cows and camels have to do with the human brain? The latest developments in machine learning, of course! In this episode, Michael and Ben dive into a new white paper from Facebook AI researchers that reveals a LOT about the future of modeling. They discuss “cows and camels”, the question of predictive vs causal modeling, and how algorithms are getting scary good at emulating the human brain these days.<br />In This Episode<br />Why Facebook’s new research is VERY exciting for AI learning and causality (but what does it have to do with cows and camels?)<br /> The answer to “Is predictive or causal modeling more accurate?” (and why it’s not the best question to ask)<br /> Not sure if you need machine learning or just plain data modeling? Michael lays it out for you<br /> What algorithms are learning about human behavior to accurately emulate the human brain in 2022 and beyond<br /><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2526</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/c86137e6317e43ebacc3e65cadc2d6f8.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>A/B Testing with ML ft. Michael Berk - ML 181</title><link>https://www.spreaker.com/episode/a-b-testing-with-ml-ft-michael-berk-ml-181--63548854</link><description><![CDATA[Michael Berk joins the adventure to discuss how he uses Machine Learning within the context of A/B testing features within applications and how to know when you have a viable test option for your setup.<br /><br />Links<br /><ul><li><a href="https://www.kdnuggets.com/2021/09/weaknesses-machine-learning-models.html" target="_blank" rel="noreferrer noopener">How to Find Weaknesses in your Machine Learning Models</a></li><li><a href="https://www.linkedin.com/in/michael-berk-48783a146/" target="_blank" rel="noreferrer noopener">LinkedIn: Michael Berk</a></li><li><a href="https://michaelberk.medium.com/" target="_blank" rel="noreferrer noopener">Michael Berk - Medium</a></li></ul><br />Picks<br /><ul><li>Ben- <a href="https://amzn.to/3Hf5n8n" target="_blank" rel="noreferrer noopener">David Thorne Books</a></li><li>Charles- <a href="https://boardgamegeek.com/boardgame/24068/shadow-hunters" target="_blank" rel="noreferrer noopener">Shadow Hunter</a></li><li>Michael- <a href="http://people.eecs.berkeley.edu/~russell/" target="_blank" rel="noreferrer noopener">Stuart Russell</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/63548854</guid><pubDate>Thu, 02 Jan 2025 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/63548854/ml_181.mp3" length="34153481" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/b7535aa4-eb53-483b-8567-857c387ff31a/b7535aa4-eb53-483b-8567-857c387ff31a.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/b7535aa4-eb53-483b-8567-857c387ff31a/b7535aa4-eb53-483b-8567-857c387ff31a.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/b7535aa4-eb53-483b-8567-857c387ff31a/b7535aa4-eb53-483b-8567-857c387ff31a.vtt" type="text/vtt" language="en"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Michael Berk joins the adventure to discuss how he uses Machine Learning within the context of A/B testing features within applications and how to know when you have a viable test option for your setup.

Links

-...</itunes:subtitle><itunes:summary><![CDATA[Michael Berk joins the adventure to discuss how he uses Machine Learning within the context of A/B testing features within applications and how to know when you have a viable test option for your setup.<br /><br />Links<br /><ul><li><a href="https://www.kdnuggets.com/2021/09/weaknesses-machine-learning-models.html" target="_blank" rel="noreferrer noopener">How to Find Weaknesses in your Machine Learning Models</a></li><li><a href="https://www.linkedin.com/in/michael-berk-48783a146/" target="_blank" rel="noreferrer noopener">LinkedIn: Michael Berk</a></li><li><a href="https://michaelberk.medium.com/" target="_blank" rel="noreferrer noopener">Michael Berk - Medium</a></li></ul><br />Picks<br /><ul><li>Ben- <a href="https://amzn.to/3Hf5n8n" target="_blank" rel="noreferrer noopener">David Thorne Books</a></li><li>Charles- <a href="https://boardgamegeek.com/boardgame/24068/shadow-hunters" target="_blank" rel="noreferrer noopener">Shadow Hunter</a></li><li>Michael- <a href="http://people.eecs.berkeley.edu/~russell/" target="_blank" rel="noreferrer noopener">Stuart Russell</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2741</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/c86137e6317e43ebacc3e65cadc2d6f8.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Navigating Build vs. Buy Decisions in Emerging AI Technologies - ML 180</title><link>https://www.spreaker.com/episode/navigating-build-vs-buy-decisions-in-emerging-ai-technologies-ml-180--63480920</link><description><![CDATA[In today's episode, we dive into the critical decision-making process of building versus buying technology solutions, especially when it comes to agentic logic-based frameworks. With the industry still in its early stages, I recommend waiting for managed solutions to mature, while Ben suggests the educational value of simple project builds. They discuss the importance of understanding the technology thoroughly before diving into business-focused decisions, using tools like customer user journeys (CUJs) to evaluate scalability, cost-efficiency, and maintainability. They also highlight some initial challenges and missteps in project management and the necessity for pre-evaluation by tech teams.<br />For non-technical teams engaged in technical projects, they provide structured guidance on navigating these unknowns efficiently. Additionally, they emphasize the value of research spikes and incremental development to manage risk and learn from user behavior. Finally, they explore the promising yet evolving landscape of generative AI and its potential high ROI with Retrieval-Augmented Generation (RAG).<br /><br />Socials<br /><ul><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">Linkedin: Ben Wilson</a></li><li><a href="https://www.linkedin.com/in/-michael-berk/" target="_blank" rel="noreferrer noopener">LinkedIn: Michael Berk</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/63480920</guid><pubDate>Thu, 26 Dec 2024 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/63480920/ml_180.mp3" length="24273866" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/61593850-ecfb-44a8-b37d-5d9a00e6f70b/61593850-ecfb-44a8-b37d-5d9a00e6f70b.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/61593850-ecfb-44a8-b37d-5d9a00e6f70b/61593850-ecfb-44a8-b37d-5d9a00e6f70b.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/61593850-ecfb-44a8-b37d-5d9a00e6f70b/61593850-ecfb-44a8-b37d-5d9a00e6f70b.vtt" type="text/vtt" language="en"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>In today's episode, we dive into the critical decision-making process of building versus buying technology solutions, especially when it comes to agentic logic-based frameworks. With the industry still in its early stages, I recommend waiting for...</itunes:subtitle><itunes:summary><![CDATA[In today's episode, we dive into the critical decision-making process of building versus buying technology solutions, especially when it comes to agentic logic-based frameworks. With the industry still in its early stages, I recommend waiting for managed solutions to mature, while Ben suggests the educational value of simple project builds. They discuss the importance of understanding the technology thoroughly before diving into business-focused decisions, using tools like customer user journeys (CUJs) to evaluate scalability, cost-efficiency, and maintainability. They also highlight some initial challenges and missteps in project management and the necessity for pre-evaluation by tech teams.<br />For non-technical teams engaged in technical projects, they provide structured guidance on navigating these unknowns efficiently. Additionally, they emphasize the value of research spikes and incremental development to manage risk and learn from user behavior. Finally, they explore the promising yet evolving landscape of generative AI and its potential high ROI with Retrieval-Augmented Generation (RAG).<br /><br />Socials<br /><ul><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">Linkedin: Ben Wilson</a></li><li><a href="https://www.linkedin.com/in/-michael-berk/" target="_blank" rel="noreferrer noopener">LinkedIn: Michael Berk</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>1918</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/c86137e6317e43ebacc3e65cadc2d6f8.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Artificial Intelligence as a Service with Peter Elger and Eóin Shanaghy - ML 179</title><link>https://www.spreaker.com/episode/artificial-intelligence-as-a-service-with-peter-elger-and-eoin-shanaghy-ml-179--63399956</link><description><![CDATA[Peter Elger and Eóin Shanaghy join Charles Max Wood to dive into what Artificial Intelligence and Machine Learning related services are available for people to use. Peter and Eóin are experts in AWS and explain what is provided in its services, but easily extrapolate to other clouds. If you're trying to implement Artificial Intelligence algorithms, you may want to use or modify an algorithm already built and provided to you.<br /><br />Links<br /><ul><li><a href="https://www.fourtheorem.com/" target="_blank" rel="noreferrer noopener">fourTheorem</a></li><li><a href="https://twitter.com/eoins" target="_blank" rel="noreferrer noopener">Twitter: Eóin Shanaghy</a></li><li><a href="https://twitter.com/pelger" target="_blank" rel="noreferrer noopener">Twitter: Peter Elger</a></li></ul><br />Picks<br /><ul><li>Charles- <a href="https://amzn.to/3qnTx2n" target="_blank" rel="noreferrer noopener">The Eye of the World: Book One of The Wheel of Time by Robert Jordan</a></li><li>Charles<a href="https://podcasts.apple.com/us/podcast/changemakers-with-jamie-atkinson/id1456194303" target="_blank" rel="noreferrer noopener"> - Changemakers With Jamie Atkinson</a></li><li>Charles- <a href="https://podcasts.apple.com/us/podcast/podcast-domination-show/id1387192254" target="_blank" rel="noreferrer noopener">Podcast Domination Show by Luis Diaz</a></li><li>Charles- <a href="https://buzzcast.buzzsprout.com/" target="_blank" rel="noreferrer noopener">Buzzcast</a></li><li>Charles- <a href="https://podcasttalentcoach.com/" target="_blank" rel="noreferrer noopener">Podcast Talent Coach</a></li><li>Eóin-<a href="https://www.ikea.com/us/en/p/idasen-desk-sit-stand-black-dark-gray-s79280998/" target="_blank" rel="noreferrer noopener"> IKEA | IDÅSEN Desk sit/stand, black/dark gray63x31 1/2 "</a></li><li>Eóin- <a href="https://kinesis-ergo.com/shop/freestyle2-for-pc-us/" target="_blank" rel="noreferrer noopener">Kinesis | Freestyle2 Split- Adjustable Keyboard for PC</a></li><li>Peter- <a href="https://www.wolframphysics.org/" target="_blank" rel="noreferrer noopener">The Wolfram Physics Project</a></li><li>Peter- <a href="https://www.pbs.org/show/pbs-space-time/" target="_blank" rel="noreferrer noopener">PBS Space Time</a></li><li>Peter-<a href="https://www.youtube.com/channel/UCYO_jab_esuFRV4b17AJtAw" target="_blank" rel="noreferrer noopener"> Youtube Channel | 3Blue1Brown</a></li><li>Peter- <a href="https://troygrady.com/" target="_blank" rel="noreferrer noopener">Cracking the Code</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/63399956</guid><pubDate>Thu, 19 Dec 2024 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/63399956/ml_179.mp3" length="40791509" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/552a333d-7dd6-4b1b-9771-c9e5aed32eb5/552a333d-7dd6-4b1b-9771-c9e5aed32eb5.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/552a333d-7dd6-4b1b-9771-c9e5aed32eb5/552a333d-7dd6-4b1b-9771-c9e5aed32eb5.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/552a333d-7dd6-4b1b-9771-c9e5aed32eb5/552a333d-7dd6-4b1b-9771-c9e5aed32eb5.vtt" type="text/vtt" language="en"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Peter Elger and Eóin Shanaghy join Charles Max Wood to dive into what Artificial Intelligence and Machine Learning related services are available for people to use. Peter and Eóin are experts in AWS and explain what is provided in its services, but...</itunes:subtitle><itunes:summary><![CDATA[Peter Elger and Eóin Shanaghy join Charles Max Wood to dive into what Artificial Intelligence and Machine Learning related services are available for people to use. Peter and Eóin are experts in AWS and explain what is provided in its services, but easily extrapolate to other clouds. If you're trying to implement Artificial Intelligence algorithms, you may want to use or modify an algorithm already built and provided to you.<br /><br />Links<br /><ul><li><a href="https://www.fourtheorem.com/" target="_blank" rel="noreferrer noopener">fourTheorem</a></li><li><a href="https://twitter.com/eoins" target="_blank" rel="noreferrer noopener">Twitter: Eóin Shanaghy</a></li><li><a href="https://twitter.com/pelger" target="_blank" rel="noreferrer noopener">Twitter: Peter Elger</a></li></ul><br />Picks<br /><ul><li>Charles- <a href="https://amzn.to/3qnTx2n" target="_blank" rel="noreferrer noopener">The Eye of the World: Book One of The Wheel of Time by Robert Jordan</a></li><li>Charles<a href="https://podcasts.apple.com/us/podcast/changemakers-with-jamie-atkinson/id1456194303" target="_blank" rel="noreferrer noopener"> - Changemakers With Jamie Atkinson</a></li><li>Charles- <a href="https://podcasts.apple.com/us/podcast/podcast-domination-show/id1387192254" target="_blank" rel="noreferrer noopener">Podcast Domination Show by Luis Diaz</a></li><li>Charles- <a href="https://buzzcast.buzzsprout.com/" target="_blank" rel="noreferrer noopener">Buzzcast</a></li><li>Charles- <a href="https://podcasttalentcoach.com/" target="_blank" rel="noreferrer noopener">Podcast Talent Coach</a></li><li>Eóin-<a href="https://www.ikea.com/us/en/p/idasen-desk-sit-stand-black-dark-gray-s79280998/" target="_blank" rel="noreferrer noopener"> IKEA | IDÅSEN Desk sit/stand, black/dark gray63x31 1/2 "</a></li><li>Eóin- <a href="https://kinesis-ergo.com/shop/freestyle2-for-pc-us/" target="_blank" rel="noreferrer noopener">Kinesis | Freestyle2 Split- Adjustable Keyboard for PC</a></li><li>Peter- <a href="https://www.wolframphysics.org/" target="_blank" rel="noreferrer noopener">The Wolfram Physics Project</a></li><li>Peter- <a href="https://www.pbs.org/show/pbs-space-time/" target="_blank" rel="noreferrer noopener">PBS Space Time</a></li><li>Peter-<a href="https://www.youtube.com/channel/UCYO_jab_esuFRV4b17AJtAw" target="_blank" rel="noreferrer noopener"> Youtube Channel | 3Blue1Brown</a></li><li>Peter- <a href="https://troygrady.com/" target="_blank" rel="noreferrer noopener">Cracking the Code</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3295</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/c86137e6317e43ebacc3e65cadc2d6f8.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Combating Burnout in Machine Learning: Strategies for Balance and Collaboration - ML 178</title><link>https://www.spreaker.com/episode/combating-burnout-in-machine-learning-strategies-for-balance-and-collaboration-ml-178--63289369</link><description><![CDATA[In this episode, Ben and Michael explore burnout, particularly in machine learning and data science. They highlight that burnout stems from exhaustion, cynicism, and inefficiency and can be caused by repetitive tasks, overwhelming workloads, or being in the wrong role. They also tackle strategies to combat burnout, including collaborating with others, mentoring, shifting focus between tasks, and hiring more people to distribute the workload. A key takeaway is the importance of knowledge sharing and not hoarding tasks for job security, as this can lead to burnout and inefficiency. They also discuss managing burnout and its components, particularly exhaustion, cynicism, and inefficiency, through personal experiences. Finally, they talk about how burnout can lead to inefficiency and physical manifestations, like a lack of motivation to engage in activities outside of work.<br /><br /><br />Socials <br /><ul><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn: Ben Wilson</a></li><li><a href="https://www.linkedin.com/in/-michael-berk/" target="_blank" rel="noreferrer noopener">LinkedIn: Michael Berk </a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/63289369</guid><pubDate>Thu, 12 Dec 2024 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/63289369/ml_178.mp3" length="53145965" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/c2a94cac-c0d6-43d7-b7d7-1a70855c0945/c2a94cac-c0d6-43d7-b7d7-1a70855c0945.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/c2a94cac-c0d6-43d7-b7d7-1a70855c0945/c2a94cac-c0d6-43d7-b7d7-1a70855c0945.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/c2a94cac-c0d6-43d7-b7d7-1a70855c0945/c2a94cac-c0d6-43d7-b7d7-1a70855c0945.vtt" type="text/vtt" language="en"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>In this episode, Ben and Michael explore burnout, particularly in machine learning and data science. They highlight that burnout stems from exhaustion, cynicism, and inefficiency and can be caused by repetitive tasks, overwhelming workloads, or being...</itunes:subtitle><itunes:summary><![CDATA[In this episode, Ben and Michael explore burnout, particularly in machine learning and data science. They highlight that burnout stems from exhaustion, cynicism, and inefficiency and can be caused by repetitive tasks, overwhelming workloads, or being in the wrong role. They also tackle strategies to combat burnout, including collaborating with others, mentoring, shifting focus between tasks, and hiring more people to distribute the workload. A key takeaway is the importance of knowledge sharing and not hoarding tasks for job security, as this can lead to burnout and inefficiency. They also discuss managing burnout and its components, particularly exhaustion, cynicism, and inefficiency, through personal experiences. Finally, they talk about how burnout can lead to inefficiency and physical manifestations, like a lack of motivation to engage in activities outside of work.<br /><br /><br />Socials <br /><ul><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn: Ben Wilson</a></li><li><a href="https://www.linkedin.com/in/-michael-berk/" target="_blank" rel="noreferrer noopener">LinkedIn: Michael Berk </a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>4324</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/c86137e6317e43ebacc3e65cadc2d6f8.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>The Nature of the World and AI with Rishal Hurbans - ML 177</title><link>https://www.spreaker.com/episode/the-nature-of-the-world-and-ai-with-rishal-hurbans-ml-177--63174125</link><description><![CDATA[Rishal Hurbans is the author of Grokking Artificial Intelligence Algorithms. He walks us through how to learn different Machine Learning algorithms. He also then walks us through the different types of algorithms based on different natural systems and processes.<br /><br />Links<ul><li><a href="https://www.kaggle.com/" target="_blank" rel="noreferrer noopener">Kaggle: Your Machine Learning and Data Science Community</a></li><li><a href="https://rhurbans.com/researching-a-different-concept-everyday-for-31-days/" target="_blank" rel="noreferrer noopener">Rishal Hurbans</a></li><li><a href="https://inktober.com/" target="_blank" rel="noreferrer noopener">Inktober</a></li><li><a href="https://devchat.tv/grokai" target="_blank" rel="noreferrer noopener">Book giveaway link</a></li></ul><br />Picks<ul><li>Chuck- <a href="https://amzn.to/3mxO9aP" target="_blank" rel="noreferrer noopener">Hero with a thousand faces by Joseph Campbell</a></li><li>Chuck-<a href="https://amzn.to/34oVeUX" target="_blank" rel="noreferrer noopener"> Masterbuilt smoker</a></li><li>Rishal-Learn something new everyday</li><li>Rishal- <a href="https://amzn.to/2KAC9ba" target="_blank" rel="noreferrer noopener">Building a StoryBrand by Donald Miller</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/63174125</guid><pubDate>Mon, 09 Dec 2024 13:31:39 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/63174125/ml_177.mp3" length="30489651" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/d375ac6f-e3b9-4d05-85d0-bce4b19f9e7f/d375ac6f-e3b9-4d05-85d0-bce4b19f9e7f.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/d375ac6f-e3b9-4d05-85d0-bce4b19f9e7f/d375ac6f-e3b9-4d05-85d0-bce4b19f9e7f.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/d375ac6f-e3b9-4d05-85d0-bce4b19f9e7f/d375ac6f-e3b9-4d05-85d0-bce4b19f9e7f.vtt" type="text/vtt" language="en"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Rishal Hurbans is the author of Grokking Artificial Intelligence Algorithms. He walks us through how to learn different Machine Learning algorithms. He also then walks us through the different types of algorithms based on different natural systems and...</itunes:subtitle><itunes:summary><![CDATA[Rishal Hurbans is the author of Grokking Artificial Intelligence Algorithms. He walks us through how to learn different Machine Learning algorithms. He also then walks us through the different types of algorithms based on different natural systems and processes.<br /><br />Links<ul><li><a href="https://www.kaggle.com/" target="_blank" rel="noreferrer noopener">Kaggle: Your Machine Learning and Data Science Community</a></li><li><a href="https://rhurbans.com/researching-a-different-concept-everyday-for-31-days/" target="_blank" rel="noreferrer noopener">Rishal Hurbans</a></li><li><a href="https://inktober.com/" target="_blank" rel="noreferrer noopener">Inktober</a></li><li><a href="https://devchat.tv/grokai" target="_blank" rel="noreferrer noopener">Book giveaway link</a></li></ul><br />Picks<ul><li>Chuck- <a href="https://amzn.to/3mxO9aP" target="_blank" rel="noreferrer noopener">Hero with a thousand faces by Joseph Campbell</a></li><li>Chuck-<a href="https://amzn.to/34oVeUX" target="_blank" rel="noreferrer noopener"> Masterbuilt smoker</a></li><li>Rishal-Learn something new everyday</li><li>Rishal- <a href="https://amzn.to/2KAC9ba" target="_blank" rel="noreferrer noopener">Building a StoryBrand by Donald Miller</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2436</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/c86137e6317e43ebacc3e65cadc2d6f8.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Crafting Data Solutions: Shrinking Pie and Leveraging Insights for Optimal Data Learning - ML 176</title><link>https://www.spreaker.com/episode/crafting-data-solutions-shrinking-pie-and-leveraging-insights-for-optimal-data-learning-ml-176--63122287</link><description><![CDATA[In today’s episode, Michael and Ben are joined by industry expert Barzan Mozafari, the CEO and co-founder at Keebo. He delves deep into the evolving landscape of data learning and cloud optimization. They explore how understanding data distribution can lead to early detection of anomalies and how optimizing data workflows can result in significant cost savings and unintended business growth. Barzan sheds light on leveraging existing cloud technologies and the role of automated tools in enhancing system interactions, while Ben talks about the intricacies of platform migration and tech debt.<br />They dig into the challenges and strategies for optimizing complex data pipelines, the economic pressures faced by data teams, and insights into innovation stemming from academic research. The conversation also covers the importance of maintaining customer trust without compromising data security and the iterative nature of both academic and industrial approaches to problem-solving. Join them as they navigate the intersection of technical debt, AI-driven optimization, and the dynamic collaboration between researchers and engineers, all aimed at driving continuous improvement and innovation in the world of data.<br />So, gear up for an episode packed with insights on shrinking pie data learning, cloud costs, automated optimization tools, and much more. Let’s dive right in!<br /><br /><br />Socials<br /><ul><li>LinkedIn: <a href="https://www.linkedin.com/in/barzan-mozafari-433519a4/" target="_blank" rel="noreferrer noopener">Barzan Mozafari</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/63122287</guid><pubDate>Thu, 28 Nov 2024 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/63122287/ml_176.mp3" length="41367980" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/a4d93c18-6721-49c7-85f8-c54c74f364ba/a4d93c18-6721-49c7-85f8-c54c74f364ba.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/a4d93c18-6721-49c7-85f8-c54c74f364ba/a4d93c18-6721-49c7-85f8-c54c74f364ba.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/a4d93c18-6721-49c7-85f8-c54c74f364ba/a4d93c18-6721-49c7-85f8-c54c74f364ba.vtt" type="text/vtt" language="en"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>In today’s episode, Michael and Ben are joined by industry expert Barzan Mozafari, the CEO and co-founder at Keebo. He delves deep into the evolving landscape of data learning and cloud optimization. They explore how understanding data distribution...</itunes:subtitle><itunes:summary><![CDATA[In today’s episode, Michael and Ben are joined by industry expert Barzan Mozafari, the CEO and co-founder at Keebo. He delves deep into the evolving landscape of data learning and cloud optimization. They explore how understanding data distribution can lead to early detection of anomalies and how optimizing data workflows can result in significant cost savings and unintended business growth. Barzan sheds light on leveraging existing cloud technologies and the role of automated tools in enhancing system interactions, while Ben talks about the intricacies of platform migration and tech debt.<br />They dig into the challenges and strategies for optimizing complex data pipelines, the economic pressures faced by data teams, and insights into innovation stemming from academic research. The conversation also covers the importance of maintaining customer trust without compromising data security and the iterative nature of both academic and industrial approaches to problem-solving. Join them as they navigate the intersection of technical debt, AI-driven optimization, and the dynamic collaboration between researchers and engineers, all aimed at driving continuous improvement and innovation in the world of data.<br />So, gear up for an episode packed with insights on shrinking pie data learning, cloud costs, automated optimization tools, and much more. Let’s dive right in!<br /><br /><br />Socials<br /><ul><li>LinkedIn: <a href="https://www.linkedin.com/in/barzan-mozafari-433519a4/" target="_blank" rel="noreferrer noopener">Barzan Mozafari</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3343</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/c86137e6317e43ebacc3e65cadc2d6f8.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Challenges and Solutions in Managing Code Security for ML Developers - ML 175</title><link>https://www.spreaker.com/episode/challenges-and-solutions-in-managing-code-security-for-ml-developers-ml-175--62961456</link><description><![CDATA[Today, join Michael and Ben as they delve into crucial topics surrounding code security and the safe execution of machine learning models. This episode focuses on preventing accidental key leaks in notebooks, creating secure environments for code execution, and the pros and cons of various isolation methods like VMs, containers, and micro VMs.<br />They explore the challenges of evaluating and executing generated code, highlighting the risks of running arbitrary Python code and the importance of secure evaluation processes. Ben shares his experiences and best practices, emphasizing human evaluation and secure virtual environments to mitigate risks.<br />The episode also includes an in-depth discussion on developing new projects with a focus on proper engineering procedures, and the sophisticated efforts behind Databricks' Genie service and MLflow's RunLLM. Finally, Ben and Michael explore the potential of fine-tuning machine learning models, creating high-quality datasets, and the complexities of managing code execution with AI.<br />Tune in for all this and more as we navigate the secure pathways to responsible and effective machine learning development.<br /><br /><br />Socials<br /><ul><li><a href="https://www.linkedin.com/in/-michael-berk/" target="_blank" rel="noreferrer noopener">LinkedIn: Michael Berk</a></li><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn: Ben Wilson</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/62961456</guid><pubDate>Thu, 21 Nov 2024 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/62961456/ml_175.mp3" length="38527006" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/9656dcb1-a664-49c0-bfe0-6e5e90442679/9656dcb1-a664-49c0-bfe0-6e5e90442679.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/9656dcb1-a664-49c0-bfe0-6e5e90442679/9656dcb1-a664-49c0-bfe0-6e5e90442679.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/9656dcb1-a664-49c0-bfe0-6e5e90442679/9656dcb1-a664-49c0-bfe0-6e5e90442679.vtt" type="text/vtt" language="en"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Today, join Michael and Ben as they delve into crucial topics surrounding code security and the safe execution of machine learning models. This episode focuses on preventing accidental key leaks in notebooks, creating secure environments for code...</itunes:subtitle><itunes:summary><![CDATA[Today, join Michael and Ben as they delve into crucial topics surrounding code security and the safe execution of machine learning models. This episode focuses on preventing accidental key leaks in notebooks, creating secure environments for code execution, and the pros and cons of various isolation methods like VMs, containers, and micro VMs.<br />They explore the challenges of evaluating and executing generated code, highlighting the risks of running arbitrary Python code and the importance of secure evaluation processes. Ben shares his experiences and best practices, emphasizing human evaluation and secure virtual environments to mitigate risks.<br />The episode also includes an in-depth discussion on developing new projects with a focus on proper engineering procedures, and the sophisticated efforts behind Databricks' Genie service and MLflow's RunLLM. Finally, Ben and Michael explore the potential of fine-tuning machine learning models, creating high-quality datasets, and the complexities of managing code execution with AI.<br />Tune in for all this and more as we navigate the secure pathways to responsible and effective machine learning development.<br /><br /><br />Socials<br /><ul><li><a href="https://www.linkedin.com/in/-michael-berk/" target="_blank" rel="noreferrer noopener">LinkedIn: Michael Berk</a></li><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn: Ben Wilson</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3106</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/c86137e6317e43ebacc3e65cadc2d6f8.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Innovative Security Solutions for Developers - ML 174</title><link>https://www.spreaker.com/episode/innovative-security-solutions-for-developers-ml-174--62756474</link><description><![CDATA[They delve into the journeys and insights of distinguished leaders in the development world. In today's episode, Michael engages with  Brian Vallelunga, the visionary CEO of Doppler. Brian shares his compelling journey from early tech innovations to leading multiple startups and eventually founding Doppler, a centralized cloud secret management tool.<br />Brian emphasizes the importance of making security tools enticing for developers, comparing it to making vegetables taste like candy, to boost productivity. His team’s strategy revolves around seamless integration into developers’ workflows, featuring a VS Code extension and automatic syncing akin to Dropbox, enhancing efficiency and ease of use.<br />They explore Doppler's competitive edge and how it partners with major cloud resource managers, making two-click integrations effortless. Brian also discusses their customer-centric development approach and the release of enterprise features like two-person approval and config inheritance, designed for complex organizational needs.<br />Brian's entrepreneurial journey is marked by significant pivots driven by frustration and market demand, rather than strategic planning alone. He shares candid thoughts on the impact of founders and success, cautioning against the allure of celebrity status and emphasizing team contributions.<br />Join them as they dive into insightful discussions on building developer-friendly security tools, the nuances of secret management, and Brian's perspectives on startup growth and innovation. Discover how Doppler is revolutionizing secret management, one integration at a time.<br /><br /><br />Socials<br /><ul><li><a href="https://www.linkedin.com/in/vallelungabrian/" target="_blank" rel="noreferrer noopener">LinkedIn: Brian Vallelunga</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/62756474</guid><pubDate>Thu, 14 Nov 2024 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/62756474/ml_174.mp3" length="43329984" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/bd0710cc-7e2e-4088-ae8f-7bf11908354d/bd0710cc-7e2e-4088-ae8f-7bf11908354d.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/bd0710cc-7e2e-4088-ae8f-7bf11908354d/bd0710cc-7e2e-4088-ae8f-7bf11908354d.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/bd0710cc-7e2e-4088-ae8f-7bf11908354d/bd0710cc-7e2e-4088-ae8f-7bf11908354d.vtt" type="text/vtt" language="en"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>They delve into the journeys and insights of distinguished leaders in the development world. In today's episode, Michael engages with  Brian Vallelunga, the visionary CEO of Doppler. Brian shares his compelling journey from early tech innovations to...</itunes:subtitle><itunes:summary><![CDATA[They delve into the journeys and insights of distinguished leaders in the development world. In today's episode, Michael engages with  Brian Vallelunga, the visionary CEO of Doppler. Brian shares his compelling journey from early tech innovations to leading multiple startups and eventually founding Doppler, a centralized cloud secret management tool.<br />Brian emphasizes the importance of making security tools enticing for developers, comparing it to making vegetables taste like candy, to boost productivity. His team’s strategy revolves around seamless integration into developers’ workflows, featuring a VS Code extension and automatic syncing akin to Dropbox, enhancing efficiency and ease of use.<br />They explore Doppler's competitive edge and how it partners with major cloud resource managers, making two-click integrations effortless. Brian also discusses their customer-centric development approach and the release of enterprise features like two-person approval and config inheritance, designed for complex organizational needs.<br />Brian's entrepreneurial journey is marked by significant pivots driven by frustration and market demand, rather than strategic planning alone. He shares candid thoughts on the impact of founders and success, cautioning against the allure of celebrity status and emphasizing team contributions.<br />Join them as they dive into insightful discussions on building developer-friendly security tools, the nuances of secret management, and Brian's perspectives on startup growth and innovation. Discover how Doppler is revolutionizing secret management, one integration at a time.<br /><br /><br />Socials<br /><ul><li><a href="https://www.linkedin.com/in/vallelungabrian/" target="_blank" rel="noreferrer noopener">LinkedIn: Brian Vallelunga</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3506</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/c86137e6317e43ebacc3e65cadc2d6f8.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Peer Review and Career Development - ML 173</title><link>https://www.spreaker.com/episode/peer-review-and-career-development-ml-173--62662283</link><description><![CDATA[In today's episode, Michael and Ben discuss peer review, specifically Michael's experiences. Michael explains his unconventional path, starting with advanced math as a child, then struggling with a math-heavy computer science program in college. He pivoted to environmental studies, focusing on side projects and extracurriculars. These projects led to his first job, and later to a role at a boxing streaming service (2B) with a rigorous peer review process. Ben asks about the importance of the peer review process, and Michael highlights its value in catching errors and ensuring code quality, especially when working under pressure. <br /><br />Moreover, Ben discusses the learning experience at different career stages, noting that junior developers learn from senior developers' code and feedback. Ben discusses the differences in peer review for different types of code changes. They discuss the importance of thorough review for critical code changes and many more!<br /><br /><br />Socials<br /><ul><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn: Ben Wilson</a></li><li><a href="https://www.linkedin.com/in/-michael-berk/" target="_blank" rel="noreferrer noopener">LinkedIn: Michael Berk </a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/62662283</guid><pubDate>Thu, 07 Nov 2024 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/62662283/ml_173.mp3" length="50325994" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/df569d8e-8c3f-457d-8d5b-379eb688e20a/df569d8e-8c3f-457d-8d5b-379eb688e20a.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/df569d8e-8c3f-457d-8d5b-379eb688e20a/df569d8e-8c3f-457d-8d5b-379eb688e20a.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/df569d8e-8c3f-457d-8d5b-379eb688e20a/df569d8e-8c3f-457d-8d5b-379eb688e20a.vtt" type="text/vtt" language="en"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>In today's episode, Michael and Ben discuss peer review, specifically Michael's experiences. Michael explains his unconventional path, starting with advanced math as a child, then struggling with a math-heavy computer science program in college. He...</itunes:subtitle><itunes:summary><![CDATA[In today's episode, Michael and Ben discuss peer review, specifically Michael's experiences. Michael explains his unconventional path, starting with advanced math as a child, then struggling with a math-heavy computer science program in college. He pivoted to environmental studies, focusing on side projects and extracurriculars. These projects led to his first job, and later to a role at a boxing streaming service (2B) with a rigorous peer review process. Ben asks about the importance of the peer review process, and Michael highlights its value in catching errors and ensuring code quality, especially when working under pressure. <br /><br />Moreover, Ben discusses the learning experience at different career stages, noting that junior developers learn from senior developers' code and feedback. Ben discusses the differences in peer review for different types of code changes. They discuss the importance of thorough review for critical code changes and many more!<br /><br /><br />Socials<br /><ul><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn: Ben Wilson</a></li><li><a href="https://www.linkedin.com/in/-michael-berk/" target="_blank" rel="noreferrer noopener">LinkedIn: Michael Berk </a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>4089</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/c86137e6317e43ebacc3e65cadc2d6f8.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Navigating Expertise Gaps - ML 172</title><link>https://www.spreaker.com/episode/navigating-expertise-gaps-ml-172--62578624</link><description><![CDATA[ In today's episode, Ben and Michael discuss how to handle situations involving individuals lacking expertise in machine learning projects. They explore scenarios where a team lacks expertise, considering approaches for consultants or team members. They discuss various personality types encountered in such situations, including those overly suspicious or resistant to change. Moreover, they discuss how to convince a boss that a proposed project is a bad idea, suggesting a structured approach with clear estimates, risk assessment, and alternative solutions. They emphasize the importance of honesty, transparency, and presenting options with clear pros and cons. <br />The discussion then returns to the Gen AI time-series case study, suggesting a presentation of multiple options, including established algorithms and the Gen AI approach, to facilitate a data-driven decision.<br />Finally, the episode addresses the scenario of a teammate being untrained about a system they built, suggesting a combination of direct but constructive feedback and a collaborative approach to identify the root cause of the issue.<br /><br /><br />Socials<br /><ul><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn Ben Wilson</a></li><li><a href="https://www.linkedin.com/in/-michael-berk/" target="_blank" rel="noreferrer noopener">LinkedIn Michael Berk</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/62578624</guid><pubDate>Thu, 31 Oct 2024 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/62578624/ml_172.mp3" length="56157779" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/adefea4f-8f74-4f8a-8e07-1f8c866349a5/adefea4f-8f74-4f8a-8e07-1f8c866349a5.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/adefea4f-8f74-4f8a-8e07-1f8c866349a5/adefea4f-8f74-4f8a-8e07-1f8c866349a5.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/adefea4f-8f74-4f8a-8e07-1f8c866349a5/adefea4f-8f74-4f8a-8e07-1f8c866349a5.vtt" type="text/vtt" language="en"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle> In today's episode, Ben and Michael discuss how to handle situations involving individuals lacking expertise in machine learning projects. They explore scenarios where a team lacks expertise, considering approaches for consultants or team members....</itunes:subtitle><itunes:summary><![CDATA[ In today's episode, Ben and Michael discuss how to handle situations involving individuals lacking expertise in machine learning projects. They explore scenarios where a team lacks expertise, considering approaches for consultants or team members. They discuss various personality types encountered in such situations, including those overly suspicious or resistant to change. Moreover, they discuss how to convince a boss that a proposed project is a bad idea, suggesting a structured approach with clear estimates, risk assessment, and alternative solutions. They emphasize the importance of honesty, transparency, and presenting options with clear pros and cons. <br />The discussion then returns to the Gen AI time-series case study, suggesting a presentation of multiple options, including established algorithms and the Gen AI approach, to facilitate a data-driven decision.<br />Finally, the episode addresses the scenario of a teammate being untrained about a system they built, suggesting a combination of direct but constructive feedback and a collaborative approach to identify the root cause of the issue.<br /><br /><br />Socials<br /><ul><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn Ben Wilson</a></li><li><a href="https://www.linkedin.com/in/-michael-berk/" target="_blank" rel="noreferrer noopener">LinkedIn Michael Berk</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>4575</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/c86137e6317e43ebacc3e65cadc2d6f8.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>The Influence of Gen AI on Personalized Education and Curiosity - ML 171</title><link>https://www.spreaker.com/episode/the-influence-of-gen-ai-on-personalized-education-and-curiosity-ml-171--62534912</link><description><![CDATA[In this episode, Michael and Ben dive deep into the intersection of education and technology with their insightful guest, Daniel Hiterer.<br />Michael, a data engineering and machine learning expert, and Ben, an integrator of Gen AI tools, navigate through Danny's unique perspective on the impact of nurturing educational environments. Currently working at Cornell’s Studio entrepreneurship program, Danny brings a multidisciplinary background, combining history and instructional technology, and shares his vision for the future of learning.<br />This episode explores the transformative power of nurture in education, the evolving role of Gen AI in fostering curiosity, and the challenges and opportunities in integrating AI into the learning process. Danny provides thought-provoking insights on emotional access points, curiosity-driven learning, and the delicate balance between educational goals and productivity tools.<br />Listen in as they discuss personalized education, the promise of AI-assisted learning, and the future trajectory of superintelligence in education. Plus, hear personal anecdotes from Ben and Michael about their own learning journeys and the evolving landscape of curiosity and knowledge.<br /><br />Socials<br /><ul><li><a href="https://www.linkedin.com/in/danielhiterer/" target="_blank" rel="noreferrer noopener">LinkedIn: Daniel Hiterer</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/62534912</guid><pubDate>Thu, 24 Oct 2024 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/62534912/ml_171.mp3" length="50447281" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/4901d884-da78-47c3-bcbc-3dac65889610/4901d884-da78-47c3-bcbc-3dac65889610.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/4901d884-da78-47c3-bcbc-3dac65889610/4901d884-da78-47c3-bcbc-3dac65889610.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/4901d884-da78-47c3-bcbc-3dac65889610/4901d884-da78-47c3-bcbc-3dac65889610.vtt" type="text/vtt" language="en"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>In this episode, Michael and Ben dive deep into the intersection of education and technology with their insightful guest, Daniel Hiterer.
Michael, a data engineering and machine learning expert, and Ben, an integrator of Gen AI tools, navigate through...</itunes:subtitle><itunes:summary><![CDATA[In this episode, Michael and Ben dive deep into the intersection of education and technology with their insightful guest, Daniel Hiterer.<br />Michael, a data engineering and machine learning expert, and Ben, an integrator of Gen AI tools, navigate through Danny's unique perspective on the impact of nurturing educational environments. Currently working at Cornell’s Studio entrepreneurship program, Danny brings a multidisciplinary background, combining history and instructional technology, and shares his vision for the future of learning.<br />This episode explores the transformative power of nurture in education, the evolving role of Gen AI in fostering curiosity, and the challenges and opportunities in integrating AI into the learning process. Danny provides thought-provoking insights on emotional access points, curiosity-driven learning, and the delicate balance between educational goals and productivity tools.<br />Listen in as they discuss personalized education, the promise of AI-assisted learning, and the future trajectory of superintelligence in education. Plus, hear personal anecdotes from Ben and Michael about their own learning journeys and the evolving landscape of curiosity and knowledge.<br /><br />Socials<br /><ul><li><a href="https://www.linkedin.com/in/danielhiterer/" target="_blank" rel="noreferrer noopener">LinkedIn: Daniel Hiterer</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>4099</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/c86137e6317e43ebacc3e65cadc2d6f8.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>The Role of Open Source in Modern Development Practices - ML 170</title><link>https://www.spreaker.com/episode/the-role-of-open-source-in-modern-development-practices-ml-170--62402794</link><description><![CDATA[Today, they dive deep into the fascinating intersection of open-source development and machine learning.  Michael and Ben are joined by distinguished guest, <a href="https://www.linkedin.com/in/gorkemercan/" target="_blank" rel="noreferrer noopener">Görkem</a> Erkan, CTO and seasoned engineer at Jozu.<br /><a href="https://www.linkedin.com/in/gorkemercan/" target="_blank" rel="noreferrer noopener">Görkem</a> shares his illustrious career journey from Nokia to Red Hat, his contributions to the Eclipse Foundation, and his current focus on MLOps. They explore his passion for open-source projects, the cultural and communication impacts on software design, and the unique challenges posed by integrating open-source frameworks with proprietary systems. Ben provides critical insights on the complexities of managing scalable backend services and the hurdles in translating SaaS offerings to open-source platforms.<br />Tune in to learn about the innovative practices at Jozu, the role of open communication in team success, and the nuanced debate on maintaining separate proprietary and open-source codebases. This episode is packed with valuable lessons for developers, tech leaders, and anyone interested in the future of machine learning and open-source development. <br /><br /><br />Socials<br /><ul><li><a href="https://www.linkedin.com/in/gorkemercan/" target="_blank" rel="noreferrer noopener">LinkedIn: Görkem Ercan</a></li></ul><a href="https://www.linkedin.com/in/gorkemercan/overlay/about-this-profile/" target="_blank" rel="noreferrer noopener"> </a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/62402794</guid><pubDate>Thu, 17 Oct 2024 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/62402794/ml_170.mp3" length="46041808" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/2eb37483-9bfc-4bb0-928b-96b2823fc21e/2eb37483-9bfc-4bb0-928b-96b2823fc21e.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/2eb37483-9bfc-4bb0-928b-96b2823fc21e/2eb37483-9bfc-4bb0-928b-96b2823fc21e.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/2eb37483-9bfc-4bb0-928b-96b2823fc21e/2eb37483-9bfc-4bb0-928b-96b2823fc21e.vtt" type="text/vtt" language="en"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Today, they dive deep into the fascinating intersection of open-source development and machine learning.  Michael and Ben are joined by distinguished guest, https://www.linkedin.com/in/gorkemercan/ Erkan, CTO and seasoned engineer at Jozu....</itunes:subtitle><itunes:summary><![CDATA[Today, they dive deep into the fascinating intersection of open-source development and machine learning.  Michael and Ben are joined by distinguished guest, <a href="https://www.linkedin.com/in/gorkemercan/" target="_blank" rel="noreferrer noopener">Görkem</a> Erkan, CTO and seasoned engineer at Jozu.<br /><a href="https://www.linkedin.com/in/gorkemercan/" target="_blank" rel="noreferrer noopener">Görkem</a> shares his illustrious career journey from Nokia to Red Hat, his contributions to the Eclipse Foundation, and his current focus on MLOps. They explore his passion for open-source projects, the cultural and communication impacts on software design, and the unique challenges posed by integrating open-source frameworks with proprietary systems. Ben provides critical insights on the complexities of managing scalable backend services and the hurdles in translating SaaS offerings to open-source platforms.<br />Tune in to learn about the innovative practices at Jozu, the role of open communication in team success, and the nuanced debate on maintaining separate proprietary and open-source codebases. This episode is packed with valuable lessons for developers, tech leaders, and anyone interested in the future of machine learning and open-source development. <br /><br /><br />Socials<br /><ul><li><a href="https://www.linkedin.com/in/gorkemercan/" target="_blank" rel="noreferrer noopener">LinkedIn: Görkem Ercan</a></li></ul><a href="https://www.linkedin.com/in/gorkemercan/overlay/about-this-profile/" target="_blank" rel="noreferrer noopener"> </a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3732</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/c86137e6317e43ebacc3e65cadc2d6f8.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>AI-Powered Tools for Productivity with Artem Koren - ML 169</title><link>https://www.spreaker.com/episode/ai-powered-tools-for-productivity-with-artem-koren-ml-169--62315667</link><description><![CDATA[In this week's episode, Michael and Ben sit down with Artem Koren, Chief Product Officer at Sembly AI, to explore the future of AI integration in the workplace. We'll delve into Sembly AI's mission to accelerate team efficiency through powerful AI tools—imagine an Iron Man suit for your daily tasks. From proactive AI assisting with time-consuming tasks to ethical considerations in data privacy, this episode covers the cutting-edge developments and challenges in AI implementation.<br />They also discuss the evolving landscape of workplace automation, the intricacies of data collection, and the balance between privacy and productivity. They also highlight Sembly's latest advancements like <a href="https://www.sembly.ai/semblian/" target="_blank" rel="noreferrer noopener">Semblian 2.0</a>, a breakthrough in digital twin technology that promises to redefine meeting productivity. Join them for an in-depth conversation on AI's transformative potential, the ethical responsibilities it entails, and the practical impacts on the project. <br /><br /><br />Links<br /><ul><li><a href="https://www.sembly.ai/semblian/" target="_blank" rel="noreferrer noopener">Semblian 2.0</a></li></ul><br />Socials<br /><ul><li><a href="https://www.linkedin.com/in/akoren/" target="_blank" rel="noreferrer noopener">LinkedIn: Artem Koren</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/62315667</guid><pubDate>Thu, 10 Oct 2024 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/62315667/ml_169.mp3" length="43815862" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/0535f91b-6a7e-45aa-a861-5374f20bdaf8/0535f91b-6a7e-45aa-a861-5374f20bdaf8.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/0535f91b-6a7e-45aa-a861-5374f20bdaf8/0535f91b-6a7e-45aa-a861-5374f20bdaf8.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/0535f91b-6a7e-45aa-a861-5374f20bdaf8/0535f91b-6a7e-45aa-a861-5374f20bdaf8.vtt" type="text/vtt" language="en"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>In this week's episode, Michael and Ben sit down with Artem Koren, Chief Product Officer at Sembly AI, to explore the future of AI integration in the workplace. We'll delve into Sembly AI's mission to accelerate team efficiency through powerful AI...</itunes:subtitle><itunes:summary><![CDATA[In this week's episode, Michael and Ben sit down with Artem Koren, Chief Product Officer at Sembly AI, to explore the future of AI integration in the workplace. We'll delve into Sembly AI's mission to accelerate team efficiency through powerful AI tools—imagine an Iron Man suit for your daily tasks. From proactive AI assisting with time-consuming tasks to ethical considerations in data privacy, this episode covers the cutting-edge developments and challenges in AI implementation.<br />They also discuss the evolving landscape of workplace automation, the intricacies of data collection, and the balance between privacy and productivity. They also highlight Sembly's latest advancements like <a href="https://www.sembly.ai/semblian/" target="_blank" rel="noreferrer noopener">Semblian 2.0</a>, a breakthrough in digital twin technology that promises to redefine meeting productivity. Join them for an in-depth conversation on AI's transformative potential, the ethical responsibilities it entails, and the practical impacts on the project. <br /><br /><br />Links<br /><ul><li><a href="https://www.sembly.ai/semblian/" target="_blank" rel="noreferrer noopener">Semblian 2.0</a></li></ul><br />Socials<br /><ul><li><a href="https://www.linkedin.com/in/akoren/" target="_blank" rel="noreferrer noopener">LinkedIn: Artem Koren</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3547</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/c86137e6317e43ebacc3e65cadc2d6f8.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>The Impact of Generative AI on the Advertising Industry - ML 168</title><link>https://www.spreaker.com/episode/the-impact-of-generative-ai-on-the-advertising-industry-ml-168--62227457</link><description><![CDATA[In today's episode, Michael is joined by Hikari Senju the Founder and CEO at Omneky. He starts by discussing how he built Omneky, an AI-Driven Marketing Platform. They dive into Hikari's approach to working with customers on brand strategy and content. They also talk about the increasing importance of brands in a digital, AI-driven world. Additionally, they tackle Hikari's perspective on how generative AI will impact the advertising industry. Tune in on how ML is Reshaping The Advertising Industry.<br /><br />Socials<br /><ul><li><a href="https://www.linkedin.com/in/hikari-senju-63780199/" target="_blank" rel="noreferrer noopener">LinkedIn: Hikari Senju</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/62227457</guid><pubDate>Thu, 03 Oct 2024 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/62227457/ml_168.mp3" length="45555930" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/eb4bc14b-f4b5-4ef2-9504-f66b9e2d7c07/eb4bc14b-f4b5-4ef2-9504-f66b9e2d7c07.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/eb4bc14b-f4b5-4ef2-9504-f66b9e2d7c07/eb4bc14b-f4b5-4ef2-9504-f66b9e2d7c07.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/eb4bc14b-f4b5-4ef2-9504-f66b9e2d7c07/eb4bc14b-f4b5-4ef2-9504-f66b9e2d7c07.vtt" type="text/vtt" language="en"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>In today's episode, Michael is joined by Hikari Senju the Founder and CEO at Omneky. He starts by discussing how he built Omneky, an AI-Driven Marketing Platform. They dive into Hikari's approach to working with customers on brand strategy and...</itunes:subtitle><itunes:summary><![CDATA[In today's episode, Michael is joined by Hikari Senju the Founder and CEO at Omneky. He starts by discussing how he built Omneky, an AI-Driven Marketing Platform. They dive into Hikari's approach to working with customers on brand strategy and content. They also talk about the increasing importance of brands in a digital, AI-driven world. Additionally, they tackle Hikari's perspective on how generative AI will impact the advertising industry. Tune in on how ML is Reshaping The Advertising Industry.<br /><br />Socials<br /><ul><li><a href="https://www.linkedin.com/in/hikari-senju-63780199/" target="_blank" rel="noreferrer noopener">LinkedIn: Hikari Senju</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3692</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/c86137e6317e43ebacc3e65cadc2d6f8.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Learning, Testing, and Mentorship: Building Autonomy and Confidence in Python Development - ML 167</title><link>https://www.spreaker.com/episode/learning-testing-and-mentorship-building-autonomy-and-confidence-in-python-development-ml-167--62125412</link><description><![CDATA[Today, Ben and Michael dive into a compelling discussion on the intricate dance between challenges, feedback, mentorship, and growth in the field of software development. In this episode, Michael shares their journey of overcoming the pains of independent problem-solving before receiving effective guidance. As we explore their experiences with Ben, they uncover the vital importance of openness to feedback and the profound value of peer review in refining solutions.<br /><br /><br />They delve into technical aspects, including Python's Pytest framework for unit tests and the delicate balance between complexity and simplicity in testing for maintainability and readability. Additionally, they touch on Michael's hands-on learning curve, tackling unfamiliar concepts such as RAG, embeddings, LLMs, and Git development, all while managing significant time constraints and social commitments.<br /><br /><br />Moreover, Ben shares his mentorship philosophy, likening it to military training—pushing mentees to their limits without prior warning to foster resilience and self-improvement. They also discuss the importance of documentation, bug bashes, and the fine art of balancing integration and unit tests to ensure robust and thorough software.<br /><br /><br />Join them as they explore the journey from initial struggle to increased autonomy and confidence, using real-world examples of testing gaps, code complexities, and the powerful impact of daily feedback. Whether you're a seasoned developer or just starting your tech career, this episode is packed with valuable insights to enhance your learning and development process. So, stay tuned and dive right in!<br /><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/62125412</guid><pubDate>Thu, 26 Sep 2024 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/62125412/ml_167.mp3" length="49245779" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/df4be480-054d-444f-b6c1-58c3b3e3ab4b/df4be480-054d-444f-b6c1-58c3b3e3ab4b.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/df4be480-054d-444f-b6c1-58c3b3e3ab4b/df4be480-054d-444f-b6c1-58c3b3e3ab4b.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/df4be480-054d-444f-b6c1-58c3b3e3ab4b/df4be480-054d-444f-b6c1-58c3b3e3ab4b.vtt" type="text/vtt" language="en"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Today, Ben and Michael dive into a compelling discussion on the intricate dance between challenges, feedback, mentorship, and growth in the field of software development. In this episode, Michael shares their journey of overcoming the pains of...</itunes:subtitle><itunes:summary><![CDATA[Today, Ben and Michael dive into a compelling discussion on the intricate dance between challenges, feedback, mentorship, and growth in the field of software development. In this episode, Michael shares their journey of overcoming the pains of independent problem-solving before receiving effective guidance. As we explore their experiences with Ben, they uncover the vital importance of openness to feedback and the profound value of peer review in refining solutions.<br /><br /><br />They delve into technical aspects, including Python's Pytest framework for unit tests and the delicate balance between complexity and simplicity in testing for maintainability and readability. Additionally, they touch on Michael's hands-on learning curve, tackling unfamiliar concepts such as RAG, embeddings, LLMs, and Git development, all while managing significant time constraints and social commitments.<br /><br /><br />Moreover, Ben shares his mentorship philosophy, likening it to military training—pushing mentees to their limits without prior warning to foster resilience and self-improvement. They also discuss the importance of documentation, bug bashes, and the fine art of balancing integration and unit tests to ensure robust and thorough software.<br /><br /><br />Join them as they explore the journey from initial struggle to increased autonomy and confidence, using real-world examples of testing gaps, code complexities, and the powerful impact of daily feedback. Whether you're a seasoned developer or just starting your tech career, this episode is packed with valuable insights to enhance your learning and development process. So, stay tuned and dive right in!<br /><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3999</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/c86137e6317e43ebacc3e65cadc2d6f8.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Evaluating and Building AI Systems - ML 166</title><link>https://www.spreaker.com/episode/evaluating-and-building-ai-systems-ml-166--62029593</link><description><![CDATA[Michael Berk dives deep into the adventures of AI and machine learning with our special guest, Richmond Alake, a staff developer advocate at MongoDB. Richmond's journey from web development to AI was driven by a quest for excitement and new challenges. In this episode, he shares how he transitioned into the AI field, his passion for using writing as a learning tool, and the importance of continuous learning in evolving tech landscapes.<br /><br /><br />They explore the intricacies of building and evaluating Retrieval-Augmented Generation (RAG) systems, the benefits of MongoDB's versatile database functionalities, and the pressing challenges in machine learning data collection and evaluation. Richmond also gives us a peek into MongoDB's advanced solutions for AI application development and how strategic data chunking can impact efficiency.<br />Whether you're a budding AI enthusiast or an experienced developer looking to expand your horizons, this episode is packed with practical advice, career insights, and the latest trends in AI and machine learning. Stay tuned as we uncover how to navigate the complexity of RAG pipelines and the evolving landscape of generative AI. Let's get started!<br /><br />Socials<br /><ul><li><a href="https://www.linkedin.com/in/richmondalake/" target="_blank" rel="noreferrer noopener">LinkedIn: Richmond Alake</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/62029593</guid><pubDate>Thu, 19 Sep 2024 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/62029593/ml_166.mp3" length="47301955" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/682ffa9c-748d-4215-a9c5-65c5b238fb87/682ffa9c-748d-4215-a9c5-65c5b238fb87.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/682ffa9c-748d-4215-a9c5-65c5b238fb87/682ffa9c-748d-4215-a9c5-65c5b238fb87.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/682ffa9c-748d-4215-a9c5-65c5b238fb87/682ffa9c-748d-4215-a9c5-65c5b238fb87.vtt" type="text/vtt" language="en"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Michael Berk dives deep into the adventures of AI and machine learning with our special guest, Richmond Alake, a staff developer advocate at MongoDB. Richmond's journey from web development to AI was driven by a quest for excitement and new...</itunes:subtitle><itunes:summary><![CDATA[Michael Berk dives deep into the adventures of AI and machine learning with our special guest, Richmond Alake, a staff developer advocate at MongoDB. Richmond's journey from web development to AI was driven by a quest for excitement and new challenges. In this episode, he shares how he transitioned into the AI field, his passion for using writing as a learning tool, and the importance of continuous learning in evolving tech landscapes.<br /><br /><br />They explore the intricacies of building and evaluating Retrieval-Augmented Generation (RAG) systems, the benefits of MongoDB's versatile database functionalities, and the pressing challenges in machine learning data collection and evaluation. Richmond also gives us a peek into MongoDB's advanced solutions for AI application development and how strategic data chunking can impact efficiency.<br />Whether you're a budding AI enthusiast or an experienced developer looking to expand your horizons, this episode is packed with practical advice, career insights, and the latest trends in AI and machine learning. Stay tuned as we uncover how to navigate the complexity of RAG pipelines and the evolving landscape of generative AI. Let's get started!<br /><br />Socials<br /><ul><li><a href="https://www.linkedin.com/in/richmondalake/" target="_blank" rel="noreferrer noopener">LinkedIn: Richmond Alake</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3837</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/c86137e6317e43ebacc3e65cadc2d6f8.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Demystifying AI Innovations - ML 165</title><link>https://www.spreaker.com/episode/demystifying-ai-innovations-ml-165--61275543</link><description><![CDATA[Today, we have a special guest Abi Aryan, an accomplished founder of Abide AI and a seasoned expert in machine learning. Joining us are your hosts, Michael Berk and Ben Wilson, who bring a wealth of experience from Databricks.<br />In this episode, Ben shares his journey navigating the intricacies of deep learning and the surprising effectiveness of simpler solutions over complex algorithms. Abi lends her insights to the balancing act between innovation and practicality in tech adoption, influenced by career stability and venture capital demands. They also explore Abi's passion for recommender systems and audio speech synthesis, and the potential these fields hold for e-commerce and inclusivity.<br />Abi also gives us a glimpse into her research methodology, her approach to autonomous agents, and the challenges she faced with bias and imposter syndrome. As they dissect consulting strategies, experiment design, and the art of fostering a collaborative environment, this episode is packed with valuable lessons for any tech enthusiast.<br />So, get ready to tune in, take notes, and be inspired by the fascinating stories and insights from our expert guest and hosts.<br /><br />Socials<br /><ul><li><a href="https://abiaryan.com/" target="_blank" rel="noreferrer noopener">Abi Aryan</a></li><li><a href="https://www.linkedin.com/in/goabiaryan/" target="_blank" rel="noreferrer noopener">LinkedIn: Abi Aryan</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/61275543</guid><pubDate>Thu, 12 Sep 2024 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/61275543/ml_165.mp3" length="49800933" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/3e3b78de-ab9c-42a7-b57b-ebb35c408e6a/3e3b78de-ab9c-42a7-b57b-ebb35c408e6a.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/3e3b78de-ab9c-42a7-b57b-ebb35c408e6a/3e3b78de-ab9c-42a7-b57b-ebb35c408e6a.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/3e3b78de-ab9c-42a7-b57b-ebb35c408e6a/3e3b78de-ab9c-42a7-b57b-ebb35c408e6a.vtt" type="text/vtt" language="en"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Today, we have a special guest Abi Aryan, an accomplished founder of Abide AI and a seasoned expert in machine learning. Joining us are your hosts, Michael Berk and Ben Wilson, who bring a wealth of experience from Databricks.
In this episode, Ben...</itunes:subtitle><itunes:summary><![CDATA[Today, we have a special guest Abi Aryan, an accomplished founder of Abide AI and a seasoned expert in machine learning. Joining us are your hosts, Michael Berk and Ben Wilson, who bring a wealth of experience from Databricks.<br />In this episode, Ben shares his journey navigating the intricacies of deep learning and the surprising effectiveness of simpler solutions over complex algorithms. Abi lends her insights to the balancing act between innovation and practicality in tech adoption, influenced by career stability and venture capital demands. They also explore Abi's passion for recommender systems and audio speech synthesis, and the potential these fields hold for e-commerce and inclusivity.<br />Abi also gives us a glimpse into her research methodology, her approach to autonomous agents, and the challenges she faced with bias and imposter syndrome. As they dissect consulting strategies, experiment design, and the art of fostering a collaborative environment, this episode is packed with valuable lessons for any tech enthusiast.<br />So, get ready to tune in, take notes, and be inspired by the fascinating stories and insights from our expert guest and hosts.<br /><br />Socials<br /><ul><li><a href="https://abiaryan.com/" target="_blank" rel="noreferrer noopener">Abi Aryan</a></li><li><a href="https://www.linkedin.com/in/goabiaryan/" target="_blank" rel="noreferrer noopener">LinkedIn: Abi Aryan</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>4045</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/c86137e6317e43ebacc3e65cadc2d6f8.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Maintaining Backward Compatibility in Software Projects: Strategies from Industry Experts - ML 164</title><link>https://www.spreaker.com/episode/maintaining-backward-compatibility-in-software-projects-strategies-from-industry-experts-ml-164--61197759</link><description><![CDATA[Today, host Michael Berk and Ben Wilson dive deep into the multifaceted world of software engineering and data science with their insightful guest, Sandy Ryza a lead engineer from Dagster Labs. In this episode, they explore a range of intriguing topics, from the impact of the broken windows theory on code quality to the delicate balance of maintaining backward compatibility in evolving software projects.<br /> Sandy talks about the challenges and learnings in transitioning from data science back to software engineering, including dependency management and designing for diverse use cases. They touch on the importance of clear naming conventions, tooling, and infrastructure enforcement to maintain high code quality. Plus, they discuss the intricate process of selecting and managing Python libraries, the satisfaction of refactoring old code, and the necessity of balancing new feature development with stability.<br />Michael and Ben will guide us through these essential discussions, emphasizing the significance of user-centric API design and the benefits of open source software. They also get practical advice on navigating API changes and managing dependencies effectively, with real-world examples from Dagster, Spark Time Series, and the libraries Numba and Pydantic.<br />Join them for an episode packed with valuable insights and strategies for becoming a top-end developer! Don’t forget to follow Sandy on Twitter and check out <a href="https://dagster.io/" target="_blank" rel="noreferrer noopener">Dagster.io</a> for more information on his work.<br /><br />Socials<br /><ul><li><a href="https://www.linkedin.com/in/sandyryza/" target="_blank" rel="noreferrer noopener">LinkedIn: Sandy Ryza</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/61197759</guid><pubDate>Thu, 29 Aug 2024 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/61197759/ml_164.mp3" length="44361925" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/d0ac394a-8861-49ac-b447-61c4da010fa3/d0ac394a-8861-49ac-b447-61c4da010fa3.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/d0ac394a-8861-49ac-b447-61c4da010fa3/d0ac394a-8861-49ac-b447-61c4da010fa3.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/d0ac394a-8861-49ac-b447-61c4da010fa3/d0ac394a-8861-49ac-b447-61c4da010fa3.vtt" type="text/vtt" language="en"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Today, host Michael Berk and Ben Wilson dive deep into the multifaceted world of software engineering and data science with their insightful guest, Sandy Ryza a lead engineer from Dagster Labs. In this episode, they explore a range of intriguing...</itunes:subtitle><itunes:summary><![CDATA[Today, host Michael Berk and Ben Wilson dive deep into the multifaceted world of software engineering and data science with their insightful guest, Sandy Ryza a lead engineer from Dagster Labs. In this episode, they explore a range of intriguing topics, from the impact of the broken windows theory on code quality to the delicate balance of maintaining backward compatibility in evolving software projects.<br /> Sandy talks about the challenges and learnings in transitioning from data science back to software engineering, including dependency management and designing for diverse use cases. They touch on the importance of clear naming conventions, tooling, and infrastructure enforcement to maintain high code quality. Plus, they discuss the intricate process of selecting and managing Python libraries, the satisfaction of refactoring old code, and the necessity of balancing new feature development with stability.<br />Michael and Ben will guide us through these essential discussions, emphasizing the significance of user-centric API design and the benefits of open source software. They also get practical advice on navigating API changes and managing dependencies effectively, with real-world examples from Dagster, Spark Time Series, and the libraries Numba and Pydantic.<br />Join them for an episode packed with valuable insights and strategies for becoming a top-end developer! Don’t forget to follow Sandy on Twitter and check out <a href="https://dagster.io/" target="_blank" rel="noreferrer noopener">Dagster.io</a> for more information on his work.<br /><br />Socials<br /><ul><li><a href="https://www.linkedin.com/in/sandyryza/" target="_blank" rel="noreferrer noopener">LinkedIn: Sandy Ryza</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3592</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/c86137e6317e43ebacc3e65cadc2d6f8.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Building, Testing, and Abandoning Software - ML 163</title><link>https://www.spreaker.com/episode/building-testing-and-abandoning-software-ml-163--61106077</link><description><![CDATA[In today's episode, Ben and Michael dive deep into the intricacies of software development, innovation, and team dynamics. This episode explores the critical balance between building in-house tools versus leveraging open-source solutions, with real-world examples from Databricks.<br />They discuss the creation and eventual abandonment of a benchmarking tool for warehouses and discuss the importance of evaluating user demand, effort, and impact before committing to development. They emphasize the role of empathy, constructive feedback, and team collaboration in driving successful projects. They share strategies to influence behavior within organizations, the significance of a blame-free culture, and the art of leading difficult conversations with stakeholders.<br />From detailed discussions on customer feedback loops to practical advice on automating mundane tasks, this episode is packed with insights that will help you navigate the complex landscape of software development. So sit back, relax, and join us for a thoughtful and engaging conversation on how to turn challenges into opportunities for growth and innovation.<br /><br /><br />Socials<ul><li><a href="https://www.linkedin.com/in/-michael-berk/" target="_blank" rel="noreferrer noopener">LinkedIn: Michael berk</a></li><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn: Benjamin Wilson</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/61106077</guid><pubDate>Thu, 22 Aug 2024 13:09:33 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/61106077/ml_163.mp3" length="48234840" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/70898efc-7b90-41f5-8ec9-e3179a047464/70898efc-7b90-41f5-8ec9-e3179a047464.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/70898efc-7b90-41f5-8ec9-e3179a047464/70898efc-7b90-41f5-8ec9-e3179a047464.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/70898efc-7b90-41f5-8ec9-e3179a047464/70898efc-7b90-41f5-8ec9-e3179a047464.vtt" type="text/vtt" language="en"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>In today's episode, Ben and Michael dive deep into the intricacies of software development, innovation, and team dynamics. This episode explores the critical balance between building in-house tools versus leveraging open-source solutions, with...</itunes:subtitle><itunes:summary><![CDATA[In today's episode, Ben and Michael dive deep into the intricacies of software development, innovation, and team dynamics. This episode explores the critical balance between building in-house tools versus leveraging open-source solutions, with real-world examples from Databricks.<br />They discuss the creation and eventual abandonment of a benchmarking tool for warehouses and discuss the importance of evaluating user demand, effort, and impact before committing to development. They emphasize the role of empathy, constructive feedback, and team collaboration in driving successful projects. They share strategies to influence behavior within organizations, the significance of a blame-free culture, and the art of leading difficult conversations with stakeholders.<br />From detailed discussions on customer feedback loops to practical advice on automating mundane tasks, this episode is packed with insights that will help you navigate the complex landscape of software development. So sit back, relax, and join us for a thoughtful and engaging conversation on how to turn challenges into opportunities for growth and innovation.<br /><br /><br />Socials<ul><li><a href="https://www.linkedin.com/in/-michael-berk/" target="_blank" rel="noreferrer noopener">LinkedIn: Michael berk</a></li><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn: Benjamin Wilson</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3915</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/c86137e6317e43ebacc3e65cadc2d6f8.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>AI in Education: From Micro-Courses to Rigorous Training Programs - ML 162</title><link>https://www.spreaker.com/episode/ai-in-education-from-micro-courses-to-rigorous-training-programs-ml-162--61040718</link><description><![CDATA[In today's episode, Ben and Michael dive deep into the intersection of education, AI, and innovative instructional design. Luis Garcia who is the President of PETE, delves into automating instructional design, content development, and assessments, shedding light on the evolving educational landscape and the pivotal role of evaluation and learning. Ben shares invaluable insights on leveraging chat GPT and generative AI to streamline documentation creation and evaluate knowledge, drastically cutting down processing times.<br />Together, Luis and Ben discuss the positive reception and transformative potential of AI-driven micro-courses, text-to-speech features, and customized training tools in education. They also touch on the intense training involved in fields like nuclear reactor operation and the need for effective onboarding processes. Michael contributes by emphasizing empathy and strategic pacing in international business projects, while also summarizing instructional strategies and organizational tips for rapid learning and growth.<br />Join them as they explore the crucial role of innovative AI technologies and personalized learning tools in reshaping education and business training, featuring insights from top industry professionals and thought leaders. And don't miss the chance to learn more about Pete and Collectiva. Get ready for a compelling discussion about enhancing learning outcomes and the future of education with AI!<br /><br /><br />Socials<br /><ul><li><a href="https://www.linkedin.com/in/luisegarcia/" target="_blank" rel="noreferrer noopener">LinkedIn: Luis E. Garcia</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/61040718</guid><pubDate>Thu, 15 Aug 2024 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/61040718/ml_162.mp3" length="46935797" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/b1fad55b-b1db-4011-b584-4be421f06912/b1fad55b-b1db-4011-b584-4be421f06912.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/b1fad55b-b1db-4011-b584-4be421f06912/b1fad55b-b1db-4011-b584-4be421f06912.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/b1fad55b-b1db-4011-b584-4be421f06912/b1fad55b-b1db-4011-b584-4be421f06912.vtt" type="text/vtt" language="en"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>In today's episode, Ben and Michael dive deep into the intersection of education, AI, and innovative instructional design. Luis Garcia who is the President of PETE, delves into automating instructional design, content development, and assessments,...</itunes:subtitle><itunes:summary><![CDATA[In today's episode, Ben and Michael dive deep into the intersection of education, AI, and innovative instructional design. Luis Garcia who is the President of PETE, delves into automating instructional design, content development, and assessments, shedding light on the evolving educational landscape and the pivotal role of evaluation and learning. Ben shares invaluable insights on leveraging chat GPT and generative AI to streamline documentation creation and evaluate knowledge, drastically cutting down processing times.<br />Together, Luis and Ben discuss the positive reception and transformative potential of AI-driven micro-courses, text-to-speech features, and customized training tools in education. They also touch on the intense training involved in fields like nuclear reactor operation and the need for effective onboarding processes. Michael contributes by emphasizing empathy and strategic pacing in international business projects, while also summarizing instructional strategies and organizational tips for rapid learning and growth.<br />Join them as they explore the crucial role of innovative AI technologies and personalized learning tools in reshaping education and business training, featuring insights from top industry professionals and thought leaders. And don't miss the chance to learn more about Pete and Collectiva. Get ready for a compelling discussion about enhancing learning outcomes and the future of education with AI!<br /><br /><br />Socials<br /><ul><li><a href="https://www.linkedin.com/in/luisegarcia/" target="_blank" rel="noreferrer noopener">LinkedIn: Luis E. Garcia</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3807</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/c86137e6317e43ebacc3e65cadc2d6f8.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Transforming Recruitment with AI: Surveys, Sentiment, and Data-Driven Insights - ML 161</title><link>https://www.spreaker.com/episode/transforming-recruitment-with-ai-surveys-sentiment-and-data-driven-insights-ml-161--60894006</link><description><![CDATA[In today's episode, our hosts Michael, Ben, and special guest Keith Goode delve deep into the transformative role of AI and machine learning in modern HR practices. They tackle a range of topics, starting with the innovative use of AI to streamline surveying and sentiment analysis in employee evaluations. They explore the exciting potential of AI models in technical data collection, particularly for interviews, and discuss how these models can assess candidates' sentiment and confidence levels, providing valuable insights into their fit for specific roles.<br />They also hear about the emerging trends discussed at the recent Databricks Data and AI Summit, where generative AI for resume screening took center stage. They debate the challenges and opportunities of leveraging AI to reduce information overload in analytics, particularly within the complex hiring process. They emphasize the importance of explainable AI models, consulting scalability, and the perennial issue of data cleansing in HR.<br />Additionally, the episode touches on the critical aspects of diversity and inclusion in the workplace, the influence of new legislation on workforce diversity modeling, and how companies can configure HR systems to suit their unique needs. They share insights into using advanced tools like XGBoost for predictive modeling, highlight the significance of face-to-face interactions in interview processes, and caution against over-reliance on automated resume screening.<br />Join them as they navigate these thought-provoking discussions and more, shedding light on the intersection of AI, machine learning, and human resources. <br /><br /><br />Socials<br /><ul><li><a href="https://www.linkedin.com/in/keithagoode/" target="_blank" rel="noreferrer noopener">LinkedIn: Keith Goode</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/60894006</guid><pubDate>Thu, 08 Aug 2024 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/60894006/ml_161.mp3" length="41685837" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/2b98ecd9-fa64-4c09-bbbf-400544958c46/2b98ecd9-fa64-4c09-bbbf-400544958c46.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/2b98ecd9-fa64-4c09-bbbf-400544958c46/2b98ecd9-fa64-4c09-bbbf-400544958c46.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/2b98ecd9-fa64-4c09-bbbf-400544958c46/2b98ecd9-fa64-4c09-bbbf-400544958c46.vtt" type="text/vtt" language="en"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>In today's episode, our hosts Michael, Ben, and special guest Keith Goode delve deep into the transformative role of AI and machine learning in modern HR practices. They tackle a range of topics, starting with the innovative use of AI to streamline...</itunes:subtitle><itunes:summary><![CDATA[In today's episode, our hosts Michael, Ben, and special guest Keith Goode delve deep into the transformative role of AI and machine learning in modern HR practices. They tackle a range of topics, starting with the innovative use of AI to streamline surveying and sentiment analysis in employee evaluations. They explore the exciting potential of AI models in technical data collection, particularly for interviews, and discuss how these models can assess candidates' sentiment and confidence levels, providing valuable insights into their fit for specific roles.<br />They also hear about the emerging trends discussed at the recent Databricks Data and AI Summit, where generative AI for resume screening took center stage. They debate the challenges and opportunities of leveraging AI to reduce information overload in analytics, particularly within the complex hiring process. They emphasize the importance of explainable AI models, consulting scalability, and the perennial issue of data cleansing in HR.<br />Additionally, the episode touches on the critical aspects of diversity and inclusion in the workplace, the influence of new legislation on workforce diversity modeling, and how companies can configure HR systems to suit their unique needs. They share insights into using advanced tools like XGBoost for predictive modeling, highlight the significance of face-to-face interactions in interview processes, and caution against over-reliance on automated resume screening.<br />Join them as they navigate these thought-provoking discussions and more, shedding light on the intersection of AI, machine learning, and human resources. <br /><br /><br />Socials<br /><ul><li><a href="https://www.linkedin.com/in/keithagoode/" target="_blank" rel="noreferrer noopener">LinkedIn: Keith Goode</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3369</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/c86137e6317e43ebacc3e65cadc2d6f8.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>How AI and Deep Fakes Are Transforming Security and Customer Trust - ML 160</title><link>https://www.spreaker.com/episode/how-ai-and-deep-fakes-are-transforming-security-and-customer-trust-ml-160--60805315</link><description><![CDATA[In today's episode, they delve deep into the intertwining worlds of technology, security, and innovation with Aaron Painter, CEO at Nametag.<br />Aaron kicks things off by underlining the cultural facets in hiring, emphasizing the virtues of being good listeners, intellectually curious, kind, and respectful while achieving tangible results. We also explore the collaborative spirit in group product planning and the pivotal role of diverse perspectives.<br />From there, Ben takes us into the fascinating—and somewhat unnerving—advancements in deep fakes, particularly in image generation, and their implications for security and entertainment. This discussion also touches on the complexities of preventing deep fake attacks and the critical role of technology in mitigating these threats.<br />Michael weighs in on how physical devices and user verification limit fraudulent deep fake activities, while Aaron offers invaluable advice on latching onto growing fields like AI for future-proofing your career. We also delve into a riveting recount of Ben’s early data science days, offering a glimpse into the tech evolution from Hadoop to cloud computing.<br /><br />Our conversation spans intriguing analogies, from the oil industry to AI, and examines the crucial shift toward cloud technologies, underpinned by end-use cases and consumer demands. We discuss the pressing need for secure identity verification in the digital age, exploring multifactor authentication and the delicate balance between security and user experience. Additionally, the episode covers Microsoft’s impact on global economies, with Aaron sharing heartfelt insights from his illustrious career.<br />Join them as they navigate these compelling topics and more, offering a wealth of knowledge for developers, tech enthusiasts, and anyone keen on the future of technology. Tune in and prepare to elevate your understanding as we unfold the latest in machine learning, AI, and technological innovation.<br /><br /><br />Socials<br /><ul><li><a href="https://www.linkedin.com/in/aaronpainter/" target="_blank" rel="noreferrer noopener">LinkedIn: Aaron Painter</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/60805315</guid><pubDate>Wed, 24 Jul 2024 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/60805315/ml_160.mp3" length="49281827" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/431adf9b-eefa-4e4f-bc3d-5f80519241f2/431adf9b-eefa-4e4f-bc3d-5f80519241f2.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/431adf9b-eefa-4e4f-bc3d-5f80519241f2/431adf9b-eefa-4e4f-bc3d-5f80519241f2.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/431adf9b-eefa-4e4f-bc3d-5f80519241f2/431adf9b-eefa-4e4f-bc3d-5f80519241f2.vtt" type="text/vtt" language="en"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>In today's episode, they delve deep into the intertwining worlds of technology, security, and innovation with Aaron Painter, CEO at Nametag.
Aaron kicks things off by underlining the cultural facets in hiring, emphasizing the virtues of being good...</itunes:subtitle><itunes:summary><![CDATA[In today's episode, they delve deep into the intertwining worlds of technology, security, and innovation with Aaron Painter, CEO at Nametag.<br />Aaron kicks things off by underlining the cultural facets in hiring, emphasizing the virtues of being good listeners, intellectually curious, kind, and respectful while achieving tangible results. We also explore the collaborative spirit in group product planning and the pivotal role of diverse perspectives.<br />From there, Ben takes us into the fascinating—and somewhat unnerving—advancements in deep fakes, particularly in image generation, and their implications for security and entertainment. This discussion also touches on the complexities of preventing deep fake attacks and the critical role of technology in mitigating these threats.<br />Michael weighs in on how physical devices and user verification limit fraudulent deep fake activities, while Aaron offers invaluable advice on latching onto growing fields like AI for future-proofing your career. We also delve into a riveting recount of Ben’s early data science days, offering a glimpse into the tech evolution from Hadoop to cloud computing.<br /><br />Our conversation spans intriguing analogies, from the oil industry to AI, and examines the crucial shift toward cloud technologies, underpinned by end-use cases and consumer demands. We discuss the pressing need for secure identity verification in the digital age, exploring multifactor authentication and the delicate balance between security and user experience. Additionally, the episode covers Microsoft’s impact on global economies, with Aaron sharing heartfelt insights from his illustrious career.<br />Join them as they navigate these compelling topics and more, offering a wealth of knowledge for developers, tech enthusiasts, and anyone keen on the future of technology. Tune in and prepare to elevate your understanding as we unfold the latest in machine learning, AI, and technological innovation.<br /><br /><br />Socials<br /><ul><li><a href="https://www.linkedin.com/in/aaronpainter/" target="_blank" rel="noreferrer noopener">LinkedIn: Aaron Painter</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>4002</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/c86137e6317e43ebacc3e65cadc2d6f8.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>AI Deployment Simplified: Kit Ops' Role in Streamlining MLOps Practices - ML 159</title><link>https://www.spreaker.com/episode/ai-deployment-simplified-kit-ops-role-in-streamlining-mlops-practices-ml-159--60743162</link><description><![CDATA[In today’s episode, they dive into the intricate world of MLOps with Brad Micklea, a seasoned expert with extensive experience in software infrastructure and leadership roles at Eclipse Shay, Red Hat, AWS, and Jozu. Brad shares his journey of founding Jozu, an MLOps company that stands out with its commitment to open standards such as the OCI standard for packaging AI projects. Alongside Jozu, they explore KitOps, an innovative open-source project that simplifies version control and collaboration for AI teams.<br /><br /><br />Join them as they discuss the challenges in integrating AI models into production, the importance of monitoring API usage, and the critical role of automated rollback systems in maintaining operational excellence. They also touch on the cultural differences in operational approaches between giants like AWS and Red Hat and hear first-hand experiences on the significance of transparency, trust, and efficient risk management in both startups and established companies.<br /><br /><br />Whether you're a DevOps professional, MLOps practitioner, or data scientist transitioning to production, this episode is packed with valuable insights and practical advice to help you navigate the complexities of AI project management. Tune in to discover how Brad and his team are tackling these challenges head-on and learn how to set up your projects for success from the ground up!<br /><br />Socials<br /><ul><li><a href="https://www.linkedin.com/in/bradmicklea/" target="_blank" rel="noreferrer noopener">LinkedIn: Brad Micklea</a></li></ul><a href="https://www.linkedin.com/in/bradmicklea/overlay/about-this-profile/" target="_blank" rel="noreferrer noopener"> </a><br /><br /><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/60743162</guid><pubDate>Thu, 18 Jul 2024 04:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/60743162/ml_159.mp3" length="42693955" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/sounder/2cdf38af-61ae-4821-980b-304c35960e28/2cdf38af-61ae-4821-980b-304c35960e28.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/sounder/2cdf38af-61ae-4821-980b-304c35960e28/2cdf38af-61ae-4821-980b-304c35960e28.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/sounder/2cdf38af-61ae-4821-980b-304c35960e28/2cdf38af-61ae-4821-980b-304c35960e28.vtt" type="text/vtt" language="en"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>In today’s episode, they dive into the intricate world of MLOps with Brad Micklea, a seasoned expert with extensive experience in software infrastructure and leadership roles at Eclipse Shay, Red Hat, AWS, and Jozu. Brad shares his journey of founding...</itunes:subtitle><itunes:summary><![CDATA[In today’s episode, they dive into the intricate world of MLOps with Brad Micklea, a seasoned expert with extensive experience in software infrastructure and leadership roles at Eclipse Shay, Red Hat, AWS, and Jozu. Brad shares his journey of founding Jozu, an MLOps company that stands out with its commitment to open standards such as the OCI standard for packaging AI projects. Alongside Jozu, they explore KitOps, an innovative open-source project that simplifies version control and collaboration for AI teams.<br /><br /><br />Join them as they discuss the challenges in integrating AI models into production, the importance of monitoring API usage, and the critical role of automated rollback systems in maintaining operational excellence. They also touch on the cultural differences in operational approaches between giants like AWS and Red Hat and hear first-hand experiences on the significance of transparency, trust, and efficient risk management in both startups and established companies.<br /><br /><br />Whether you're a DevOps professional, MLOps practitioner, or data scientist transitioning to production, this episode is packed with valuable insights and practical advice to help you navigate the complexities of AI project management. Tune in to discover how Brad and his team are tackling these challenges head-on and learn how to set up your projects for success from the ground up!<br /><br />Socials<br /><ul><li><a href="https://www.linkedin.com/in/bradmicklea/" target="_blank" rel="noreferrer noopener">LinkedIn: Brad Micklea</a></li></ul><a href="https://www.linkedin.com/in/bradmicklea/overlay/about-this-profile/" target="_blank" rel="noreferrer noopener"> </a><br /><br /><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3453</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/c86137e6317e43ebacc3e65cadc2d6f8.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Functional Programming Shift and Scalable Architecture Insights - ML 158</title><link>https://www.spreaker.com/episode/functional-programming-shift-and-scalable-architecture-insights-ml-158--60679462</link><description><![CDATA[In today's episode, they dive deep into the evolving landscape of software development. Join us as Kirk, the CTO and founder at Graphlit, shares his journey from traditional software at Microsoft to pioneering perception ML for drone-based aerial intelligence.  They explore the paradigm shift from object-oriented to functional programming, the crucial role of software architecture, and the challenges of maintaining consistent design and documentation in growing teams.<br />They also get insights into Databricks' approach to user-friendly API design and the importance of learning management systems in knowledge distillation. Listen in as our speakers discuss the strategic decisions in scaling products, the nuances of open-source contributions, and the value of automation in modern development. Whether you're navigating a startup or a large enterprise, this episode is packed with expert advice on building robust, scalable systems and the dynamic decision-making needed to thrive in today's tech environment. Tune in and elevate your development game!<br /><br />Socials<br /><ul><li><a href="https://www.linkedin.com/in/kirkmarple/" target="_blank" rel="noreferrer noopener">LinkedIn: Kirk Marple</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/60679462</guid><pubDate>Thu, 11 Jul 2024 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/60679462/ml_158.mp3" length="41823764" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/sounder/0ba352db-d844-4890-9051-6e505f21cd63/0ba352db-d844-4890-9051-6e505f21cd63.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/sounder/0ba352db-d844-4890-9051-6e505f21cd63/0ba352db-d844-4890-9051-6e505f21cd63.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/sounder/0ba352db-d844-4890-9051-6e505f21cd63/0ba352db-d844-4890-9051-6e505f21cd63.vtt" type="text/vtt" language="en"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>In today's episode, they dive deep into the evolving landscape of software development. Join us as Kirk, the CTO and founder at Graphlit, shares his journey from traditional software at Microsoft to pioneering perception ML for drone-based aerial...</itunes:subtitle><itunes:summary><![CDATA[In today's episode, they dive deep into the evolving landscape of software development. Join us as Kirk, the CTO and founder at Graphlit, shares his journey from traditional software at Microsoft to pioneering perception ML for drone-based aerial intelligence.  They explore the paradigm shift from object-oriented to functional programming, the crucial role of software architecture, and the challenges of maintaining consistent design and documentation in growing teams.<br />They also get insights into Databricks' approach to user-friendly API design and the importance of learning management systems in knowledge distillation. Listen in as our speakers discuss the strategic decisions in scaling products, the nuances of open-source contributions, and the value of automation in modern development. Whether you're navigating a startup or a large enterprise, this episode is packed with expert advice on building robust, scalable systems and the dynamic decision-making needed to thrive in today's tech environment. Tune in and elevate your development game!<br /><br />Socials<br /><ul><li><a href="https://www.linkedin.com/in/kirkmarple/" target="_blank" rel="noreferrer noopener">LinkedIn: Kirk Marple</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3381</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/c86137e6317e43ebacc3e65cadc2d6f8.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Mentorship and Management: Creating a Collaborative Work Environment - ML 157</title><link>https://www.spreaker.com/episode/mentorship-and-management-creating-a-collaborative-work-environment-ml-157--60607376</link><description><![CDATA[In today's episode, Michael and Ben alongside our guest Alex Levin dive deep into the evolving landscape of AI development and its broader implications on business and society. You'll hear Ben emphasize reducing the cost and time of AI development by leveraging open-source models, while Alex draws parallels between the AI industry and flat-screen TVs, advocating for AI as a public good.<br />The conversation traverses through the importance of compelling AI services, revenue-generating strategies, and the disruption AI brings—both in job creation and efficiency improvement. From personal anecdotes in semiconductor fabs to the pitfalls of the YC funding model, we explore various facets of success in the tech world. Alex brings a unique perspective from his background in psychology and entrepreneurship, touching on the importance of market timing, embracing uncertainty, and the significant role of mentorship.<br />Whether you're a startup enthusiast or a seasoned tech veteran, this episode will provide invaluable insights on navigating the complexities of AI development, operational challenges for founders, and the essential balance between innovation and business strategy. So tune in, and let's get started on this journey through the cutting edge of technology with our insightful guests on Top End Devs!<br /><br />Socials<br /><ul><li><a href="https://www.linkedin.com/in/alexlevin1/" target="_blank" rel="noreferrer noopener">LinkedIn: Alex Levin</a></li><li><a href="http://alexrlevin.com/" target="_blank" rel="noreferrer noopener">alexrlevin.com</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/60607376</guid><pubDate>Thu, 04 Jul 2024 04:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/60607376/ml_157.mp3" length="40629759" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/sounder/2bbe1feb-6df7-47c9-b0c5-f853acbbed0a/2bbe1feb-6df7-47c9-b0c5-f853acbbed0a.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/sounder/2bbe1feb-6df7-47c9-b0c5-f853acbbed0a/2bbe1feb-6df7-47c9-b0c5-f853acbbed0a.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/sounder/2bbe1feb-6df7-47c9-b0c5-f853acbbed0a/2bbe1feb-6df7-47c9-b0c5-f853acbbed0a.vtt" type="text/vtt" language="en"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>In today's episode, Michael and Ben alongside our guest Alex Levin dive deep into the evolving landscape of AI development and its broader implications on business and society. You'll hear Ben emphasize reducing the cost and time of AI development by...</itunes:subtitle><itunes:summary><![CDATA[In today's episode, Michael and Ben alongside our guest Alex Levin dive deep into the evolving landscape of AI development and its broader implications on business and society. You'll hear Ben emphasize reducing the cost and time of AI development by leveraging open-source models, while Alex draws parallels between the AI industry and flat-screen TVs, advocating for AI as a public good.<br />The conversation traverses through the importance of compelling AI services, revenue-generating strategies, and the disruption AI brings—both in job creation and efficiency improvement. From personal anecdotes in semiconductor fabs to the pitfalls of the YC funding model, we explore various facets of success in the tech world. Alex brings a unique perspective from his background in psychology and entrepreneurship, touching on the importance of market timing, embracing uncertainty, and the significant role of mentorship.<br />Whether you're a startup enthusiast or a seasoned tech veteran, this episode will provide invaluable insights on navigating the complexities of AI development, operational challenges for founders, and the essential balance between innovation and business strategy. So tune in, and let's get started on this journey through the cutting edge of technology with our insightful guests on Top End Devs!<br /><br />Socials<br /><ul><li><a href="https://www.linkedin.com/in/alexlevin1/" target="_blank" rel="noreferrer noopener">LinkedIn: Alex Levin</a></li><li><a href="http://alexrlevin.com/" target="_blank" rel="noreferrer noopener">alexrlevin.com</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3281</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/c86137e6317e43ebacc3e65cadc2d6f8.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>The Intersection of Success and Talent Retention in Software Development - ML 156</title><link>https://www.spreaker.com/episode/the-intersection-of-success-and-talent-retention-in-software-development-ml-156--60543843</link><description><![CDATA[In today's episode, Michael and Ben dissect the process of building maintainable and impactful products, emphasizing the crucial balance between innovation and simplicity. They explore personal and group learning curves, the value of collaboration, and the indispensable role of peer review in creating robust solutions.<br /><br /><br />They'll also touch upon the nuanced perspectives of working at top tech companies like Google and Databricks, examining how timing and project involvement can shape a developer's skillset and career trajectory. From the importance of understanding one's career goals to the powerful impact of a company's culture on code quality, they aim to uncover the multifaceted aspects of professional growth in tech.<br /><br /><br />Join they as they delve into stories of overengineered solutions, the necessity of constructive feedback, and the collaborative efforts that define truly great products. Whether you're aspiring to join the elite 1% of developers, or simply looking to understand the dynamics of a high-functioning team, this episode is packed with insights and practical advice. So, tune in and let's explore the path to greatness together!<br /><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/60543843</guid><pubDate>Thu, 27 Jun 2024 04:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/60543843/ml_156.mp3" length="44713011" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/sounder/e0c12674-76f3-4b51-bf26-6fd80c3fb7e8/e0c12674-76f3-4b51-bf26-6fd80c3fb7e8.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/sounder/e0c12674-76f3-4b51-bf26-6fd80c3fb7e8/e0c12674-76f3-4b51-bf26-6fd80c3fb7e8.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/sounder/e0c12674-76f3-4b51-bf26-6fd80c3fb7e8/e0c12674-76f3-4b51-bf26-6fd80c3fb7e8.vtt" type="text/vtt" language="en"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>In today's episode, Michael and Ben dissect the process of building maintainable and impactful products, emphasizing the crucial balance between innovation and simplicity. They explore personal and group learning curves, the value of collaboration,...</itunes:subtitle><itunes:summary><![CDATA[In today's episode, Michael and Ben dissect the process of building maintainable and impactful products, emphasizing the crucial balance between innovation and simplicity. They explore personal and group learning curves, the value of collaboration, and the indispensable role of peer review in creating robust solutions.<br /><br /><br />They'll also touch upon the nuanced perspectives of working at top tech companies like Google and Databricks, examining how timing and project involvement can shape a developer's skillset and career trajectory. From the importance of understanding one's career goals to the powerful impact of a company's culture on code quality, they aim to uncover the multifaceted aspects of professional growth in tech.<br /><br /><br />Join they as they delve into stories of overengineered solutions, the necessity of constructive feedback, and the collaborative efforts that define truly great products. Whether you're aspiring to join the elite 1% of developers, or simply looking to understand the dynamics of a high-functioning team, this episode is packed with insights and practical advice. So, tune in and let's explore the path to greatness together!<br /><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3621</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/c86137e6317e43ebacc3e65cadc2d6f8.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Redefining Data Science Roles: Beyond Technical Skills and Traditional Job Descriptions - ML 155</title><link>https://www.spreaker.com/episode/redefining-data-science-roles-beyond-technical-skills-and-traditional-job-descriptions-ml-155--60455949</link><description><![CDATA[ In today's episode, Michael Berk and Ben Wilson dive deep into the intricacies of technical interviews for machine learning roles. They discuss the importance of assessing candidates' genuine knowledge of traditional and deep learning models and the value of being candid about one's expertise.<br />They explore how technical skills, particularly in applied machine learning, are evaluated with a focus on their impact on business outcomes. Michael and Ben also address the common misalignments between job descriptions and the actual skills required, stressing the need for problem-solving capabilities and critical thinking over memorized knowledge.<br />Additionally, they delve into the roles within data science—analysts, applied ML specialists, and researchers—highlighting the importance of fitting the right skills to the right job. They also touch on the evolving expectations and frustrations with the current hiring process, offering insights on how it can be improved.<br />Stay tuned as they unpack these topics and more, including valuable tips for showcasing your skills effectively on resumes, and the significance of asking insightful questions during interviews. Whether you’re an aspiring data scientist or a seasoned professional, this episode is packed with practical advice and industry insights you won’t want to miss!<br /><br />Socials<br /><ul><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn: Ben Wilson</a></li><li><a href="https://www.linkedin.com/in/-michael-berk/" target="_blank" rel="noreferrer noopener">LinkedIn: Michael Berk</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/60455949</guid><pubDate>Thu, 20 Jun 2024 04:58:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/60455949/ml_155.mp3" length="42808058" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/sounder/b745e363-d610-4a4b-bbe9-594ae70bd949/b745e363-d610-4a4b-bbe9-594ae70bd949.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/sounder/b745e363-d610-4a4b-bbe9-594ae70bd949/b745e363-d610-4a4b-bbe9-594ae70bd949.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/sounder/b745e363-d610-4a4b-bbe9-594ae70bd949/b745e363-d610-4a4b-bbe9-594ae70bd949.vtt" type="text/vtt" language="en"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle> In today's episode, Michael Berk and Ben Wilson dive deep into the intricacies of technical interviews for machine learning roles. They discuss the importance of assessing candidates' genuine knowledge of traditional and deep learning models and the...</itunes:subtitle><itunes:summary><![CDATA[ In today's episode, Michael Berk and Ben Wilson dive deep into the intricacies of technical interviews for machine learning roles. They discuss the importance of assessing candidates' genuine knowledge of traditional and deep learning models and the value of being candid about one's expertise.<br />They explore how technical skills, particularly in applied machine learning, are evaluated with a focus on their impact on business outcomes. Michael and Ben also address the common misalignments between job descriptions and the actual skills required, stressing the need for problem-solving capabilities and critical thinking over memorized knowledge.<br />Additionally, they delve into the roles within data science—analysts, applied ML specialists, and researchers—highlighting the importance of fitting the right skills to the right job. They also touch on the evolving expectations and frustrations with the current hiring process, offering insights on how it can be improved.<br />Stay tuned as they unpack these topics and more, including valuable tips for showcasing your skills effectively on resumes, and the significance of asking insightful questions during interviews. Whether you’re an aspiring data scientist or a seasoned professional, this episode is packed with practical advice and industry insights you won’t want to miss!<br /><br />Socials<br /><ul><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn: Ben Wilson</a></li><li><a href="https://www.linkedin.com/in/-michael-berk/" target="_blank" rel="noreferrer noopener">LinkedIn: Michael Berk</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3463</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/c86137e6317e43ebacc3e65cadc2d6f8.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Balancing Theoretical Knowledge with Hands-on Experience - ML 154</title><link>https://www.spreaker.com/episode/balancing-theoretical-knowledge-with-hands-on-experience-ml-154--60309745</link><description><![CDATA[Michael Berk and Ben Wilson from Databricks are joined by Brooke Wenig, who has a fascinating background in distributed machine learning. Today’s conversation dives deep into the intersection of AI, environmental science, and career transitions. They explore how individuals like Michael transformed their careers from environmental science to AI, leveraging existing expertise in innovative ways. Ben shares insights on leaping from non-technical roles to data science by embracing automation with Python and machine learning.<br />We tackle the critical shift in roles, the balance between education and hands-on experience, and the growing disparity between academia and industry. Brooke brings valuable perspectives on project scoping, from aligning success criteria to ensuring real-world value. The discussion revolves around augmenting existing roles with AI, common pitfalls, and transitioning proofs of concept to production.<br />They also explore the practical applications of language models, the debate over open versus closed source models, and the future of AI in various industries. With a focus on collaboration, the traits of top data scientists, and the implications of integrating AI into non-tech fields, this episode is packed with insights and tips for anyone looking to navigate the exciting world of AI and machine learning.<br />Join them as they delve into these topics and more, discussing the evolving landscape of AI and how it's shaping careers and industries alike.<br /><br />Socials<br /><ul><li><a href="https://www.linkedin.com/in/brookewenig/" target="_blank" rel="noreferrer noopener">LinkedIn: Brooke Wenig</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/60309745</guid><pubDate>Thu, 13 Jun 2024 04:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/60309745/ml_154.mp3" length="50000239" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Michael Berk and Ben Wilson from Databricks are joined by Brooke Wenig, who has a fascinating background in distributed machine learning. Today’s conversation dives deep into the intersection of AI, environmental science, and career transitions. They...</itunes:subtitle><itunes:summary><![CDATA[Michael Berk and Ben Wilson from Databricks are joined by Brooke Wenig, who has a fascinating background in distributed machine learning. Today’s conversation dives deep into the intersection of AI, environmental science, and career transitions. They explore how individuals like Michael transformed their careers from environmental science to AI, leveraging existing expertise in innovative ways. Ben shares insights on leaping from non-technical roles to data science by embracing automation with Python and machine learning.<br />We tackle the critical shift in roles, the balance between education and hands-on experience, and the growing disparity between academia and industry. Brooke brings valuable perspectives on project scoping, from aligning success criteria to ensuring real-world value. The discussion revolves around augmenting existing roles with AI, common pitfalls, and transitioning proofs of concept to production.<br />They also explore the practical applications of language models, the debate over open versus closed source models, and the future of AI in various industries. With a focus on collaboration, the traits of top data scientists, and the implications of integrating AI into non-tech fields, this episode is packed with insights and tips for anyone looking to navigate the exciting world of AI and machine learning.<br />Join them as they delve into these topics and more, discussing the evolving landscape of AI and how it's shaping careers and industries alike.<br /><br />Socials<br /><ul><li><a href="https://www.linkedin.com/in/brookewenig/" target="_blank" rel="noreferrer noopener">LinkedIn: Brooke Wenig</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>4062</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/aed78a259f82d15d695012447f1404d2.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>AI in Security: Revolutionizing Defense and Outsmarting Attackers in the Digital Era - ML 153</title><link>https://www.spreaker.com/episode/ai-in-security-revolutionizing-defense-and-outsmarting-attackers-in-the-digital-era-ml-153--60309719</link><description><![CDATA[Michael Berk and Ben Wilson join cybersecurity expert Daniel Miessler to delve into the cutting-edge world of AI and cybersecurity. They discuss the evolving tactics of attackers, from specialized targeting to AI-driven data collection. The episode tackles dynamic risk assessment, the arms race between attackers and defenders, and the role of open-source models in security.<br />They explore AI's potential to monitor, defend, and even augment human efforts against security threats, touching on both the opportunities and ethical challenges. They also examine AI's role in protecting against social media scams and phishing attacks, envisioning a future where AI acts as our digital guardian.<br />Whether you're in cybersecurity, development, or simply curious about AI's impact on security, this episode is packed with valuable insights. Stay tuned for a fascinating discussion!<br /><br /><br />Socials<br /><ul><li><a href="https://www.linkedin.com/in/danielmiessler/" target="_blank" rel="noreferrer noopener">LinkedIn: Daniel Miessler</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/60309719</guid><pubDate>Thu, 06 Jun 2024 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/60309719/ml_153.mp3" length="57297867" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/sounder/4f498ce9-37c1-4b74-8d86-5dfbb8ee4b2e/4f498ce9-37c1-4b74-8d86-5dfbb8ee4b2e.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/sounder/4f498ce9-37c1-4b74-8d86-5dfbb8ee4b2e/4f498ce9-37c1-4b74-8d86-5dfbb8ee4b2e.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/sounder/4f498ce9-37c1-4b74-8d86-5dfbb8ee4b2e/4f498ce9-37c1-4b74-8d86-5dfbb8ee4b2e.vtt" type="text/vtt" language="en"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Michael Berk and Ben Wilson join cybersecurity expert Daniel Miessler to delve into the cutting-edge world of AI and cybersecurity. They discuss the evolving tactics of attackers, from specialized targeting to AI-driven data collection. The episode...</itunes:subtitle><itunes:summary><![CDATA[Michael Berk and Ben Wilson join cybersecurity expert Daniel Miessler to delve into the cutting-edge world of AI and cybersecurity. They discuss the evolving tactics of attackers, from specialized targeting to AI-driven data collection. The episode tackles dynamic risk assessment, the arms race between attackers and defenders, and the role of open-source models in security.<br />They explore AI's potential to monitor, defend, and even augment human efforts against security threats, touching on both the opportunities and ethical challenges. They also examine AI's role in protecting against social media scams and phishing attacks, envisioning a future where AI acts as our digital guardian.<br />Whether you're in cybersecurity, development, or simply curious about AI's impact on security, this episode is packed with valuable insights. Stay tuned for a fascinating discussion!<br /><br /><br />Socials<br /><ul><li><a href="https://www.linkedin.com/in/danielmiessler/" target="_blank" rel="noreferrer noopener">LinkedIn: Daniel Miessler</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>4670</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/c86137e6317e43ebacc3e65cadc2d6f8.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>The Journey to Expertise with Fernando Lopez - ML 152</title><link>https://www.spreaker.com/episode/the-journey-to-expertise-with-fernando-lopez-ml-152--60094533</link><description><![CDATA[Fernando Lopez is an AI Engineer at Google. They delve deep into the realms of machine learning, documentation challenges in open-source projects, and the transition from startup environments to tech giants like Google. They share their candid experiences with impostor syndrome, practical tips for continuous learning, and the nuances of scaling solutions in the dynamic tech landscape.<br />Explore the nuances of software development, the complex interplay of learning strategies, and the realities of navigating large-scale organizations. Join them as the industry experts unravel the intricacies of prototyping, scaling challenges, and the value of hands-on experience in shaping successful tech careers. Get ready to immerse yourself in a wealth of knowledge and thought-provoking insights that underscore the essence of growth and innovation in the tech realm.<br /><br />Socials<br /><ul><li><a href="https://www.linkedin.com/in/ferneutron/" target="_blank" rel="noreferrer noopener">LinkedIn: Fernando Lopez</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/60094533</guid><pubDate>Thu, 23 May 2024 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/60094533/ml_152.mp3" length="48106004" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/sounder/8d8d30e6-04ea-49e0-b359-8a121ea497f4/8d8d30e6-04ea-49e0-b359-8a121ea497f4.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/sounder/8d8d30e6-04ea-49e0-b359-8a121ea497f4/8d8d30e6-04ea-49e0-b359-8a121ea497f4.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/sounder/8d8d30e6-04ea-49e0-b359-8a121ea497f4/8d8d30e6-04ea-49e0-b359-8a121ea497f4.vtt" type="text/vtt" language="en"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Fernando Lopez is an AI Engineer at Google. They delve deep into the realms of machine learning, documentation challenges in open-source projects, and the transition from startup environments to tech giants like Google. They share their candid...</itunes:subtitle><itunes:summary><![CDATA[Fernando Lopez is an AI Engineer at Google. They delve deep into the realms of machine learning, documentation challenges in open-source projects, and the transition from startup environments to tech giants like Google. They share their candid experiences with impostor syndrome, practical tips for continuous learning, and the nuances of scaling solutions in the dynamic tech landscape.<br />Explore the nuances of software development, the complex interplay of learning strategies, and the realities of navigating large-scale organizations. Join them as the industry experts unravel the intricacies of prototyping, scaling challenges, and the value of hands-on experience in shaping successful tech careers. Get ready to immerse yourself in a wealth of knowledge and thought-provoking insights that underscore the essence of growth and innovation in the tech realm.<br /><br />Socials<br /><ul><li><a href="https://www.linkedin.com/in/ferneutron/" target="_blank" rel="noreferrer noopener">LinkedIn: Fernando Lopez</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3904</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/c86137e6317e43ebacc3e65cadc2d6f8.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Unraveling the Complexities of Model Deployment in Dynamic Marketplaces - ML 151</title><link>https://www.spreaker.com/episode/unraveling-the-complexities-of-model-deployment-in-dynamic-marketplaces-ml-151--59958449</link><description><![CDATA[Deeksha Goyal is the Senior Machine Learning Engineer at Lyft and Michael Sun is the Staff Software Engineer at Lyft. They delve into the intricacies of machine learning and data-driven technology. In this episode, they explore the challenges and innovations in deploying models into production, particularly focusing on the real-world implications of ETA (Estimated Time of Arrival) modeling at Lyft. They share valuable insights, from the complexities of A/B testing and long-term impact assessment, to the dynamic nature of handling real-time data and addressing unpredictability in route predictions. Join them as they journey through the world of model deployment, bug identification, and career development within the fast-paced environment of Lyft's data-driven infrastructure.<br /><br />Sponsors<br /><ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Socials<br /><ul><li><a href="https://www.linkedin.com/in/deeksha-goyal-45a741a2/" target="_blank" rel="noreferrer noopener">LinkedIn: Deeksha Goyal</a></li><li><a href="https://www.linkedin.com/in/michael-sun-86587659/" target="_blank" rel="noreferrer noopener">LinkedIn: Michael Sun</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/59958449</guid><pubDate>Thu, 09 May 2024 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/59958449/ml_151.mp3" length="49552038" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Deeksha Goyal is the Senior Machine Learning Engineer at Lyft and Michael Sun is the Staff Software Engineer at Lyft. They delve into the intricacies of machine learning and data-driven technology. In this episode, they explore the challenges and...</itunes:subtitle><itunes:summary><![CDATA[Deeksha Goyal is the Senior Machine Learning Engineer at Lyft and Michael Sun is the Staff Software Engineer at Lyft. They delve into the intricacies of machine learning and data-driven technology. In this episode, they explore the challenges and innovations in deploying models into production, particularly focusing on the real-world implications of ETA (Estimated Time of Arrival) modeling at Lyft. They share valuable insights, from the complexities of A/B testing and long-term impact assessment, to the dynamic nature of handling real-time data and addressing unpredictability in route predictions. Join them as they journey through the world of model deployment, bug identification, and career development within the fast-paced environment of Lyft's data-driven infrastructure.<br /><br />Sponsors<br /><ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Socials<br /><ul><li><a href="https://www.linkedin.com/in/deeksha-goyal-45a741a2/" target="_blank" rel="noreferrer noopener">LinkedIn: Deeksha Goyal</a></li><li><a href="https://www.linkedin.com/in/michael-sun-86587659/" target="_blank" rel="noreferrer noopener">LinkedIn: Michael Sun</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>4025</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/c86137e6317e43ebacc3e65cadc2d6f8.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>The Impact of AI Tools on Software Development and Quality Assurance - ML 150</title><link>https://www.spreaker.com/episode/the-impact-of-ai-tools-on-software-development-and-quality-assurance-ml-150--59790203</link><description><![CDATA[Matt Van Itallie is the Founder &amp; CEO at Sema. This episode covers a wide range of topics, from the impact of AI and machine learning on software development and educational systems, to the importance of code reviews and career advice in the tech industry. Matt Van Italy shares his diverse experiences in law, consulting, public schools, and the tech sector, emphasizing the value of using data to drive improvements.<br />The conversation also touches on the use of GenAI tools in development and the need for organizations to embrace new technology to stay competitive. They also explore issues such as defense spending, career transitions, and the significance of investing in education and human capital.<br />Sponsors<br /><ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club </a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Socials<br /><ul><li><a href="https://www.linkedin.com/in/mvi/" target="_blank" rel="noreferrer noopener">LinkedIn: Matt Van Itallie</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/59790203</guid><pubDate>Thu, 02 May 2024 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/59790203/ml_150.mp3" length="54183862" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/sounder/236026f9-636c-41b7-8ad5-1ea703c59ea1/236026f9-636c-41b7-8ad5-1ea703c59ea1.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/sounder/236026f9-636c-41b7-8ad5-1ea703c59ea1/236026f9-636c-41b7-8ad5-1ea703c59ea1.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/sounder/236026f9-636c-41b7-8ad5-1ea703c59ea1/236026f9-636c-41b7-8ad5-1ea703c59ea1.vtt" type="text/vtt" language="en"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Matt Van Itallie is the Founder &amp;amp; CEO at Sema. This episode covers a wide range of topics, from the impact of AI and machine learning on software development and educational systems, to the importance of code reviews and career advice in the tech...</itunes:subtitle><itunes:summary><![CDATA[Matt Van Itallie is the Founder &amp; CEO at Sema. This episode covers a wide range of topics, from the impact of AI and machine learning on software development and educational systems, to the importance of code reviews and career advice in the tech industry. Matt Van Italy shares his diverse experiences in law, consulting, public schools, and the tech sector, emphasizing the value of using data to drive improvements.<br />The conversation also touches on the use of GenAI tools in development and the need for organizations to embrace new technology to stay competitive. They also explore issues such as defense spending, career transitions, and the significance of investing in education and human capital.<br />Sponsors<br /><ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club </a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Socials<br /><ul><li><a href="https://www.linkedin.com/in/mvi/" target="_blank" rel="noreferrer noopener">LinkedIn: Matt Van Itallie</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>4411</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/c86137e6317e43ebacc3e65cadc2d6f8.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Adaptive Industry ML: Challenges, Automation, and Model Applications - ML 149</title><link>https://www.spreaker.com/episode/adaptive-industry-ml-challenges-automation-and-model-applications-ml-149--59663499</link><description><![CDATA[Terry Rodriguez is the Co-Founder at Remyx AI. They discuss the challenges and opportunities in deploying and updating AI models for robotics, exploring the potential applications across various industries, and delving into the complexities of conducting experiments and controlling for interaction effects. You'll also hear from industry experts who have worked on recommender algorithms and enhancing content recommendations through experimental workflows and hypothesis testing. Get ready for an insightful and dynamic conversation about the latest developments in the ML landscape!<br />Sponsors<br /><ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Socials<br /><ul><li><a href="https://www.linkedin.com/in/terry-j-rodriguez/" target="_blank" rel="noreferrer noopener">LinkedIn: Terry Rodriguez</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/59663499</guid><pubDate>Thu, 18 Apr 2024 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/59663499/ml_149.mp3" length="49233867" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/sounder/cf618b27-e73e-421c-a484-14ed8e5d3481/cf618b27-e73e-421c-a484-14ed8e5d3481.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/sounder/cf618b27-e73e-421c-a484-14ed8e5d3481/cf618b27-e73e-421c-a484-14ed8e5d3481.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/sounder/cf618b27-e73e-421c-a484-14ed8e5d3481/cf618b27-e73e-421c-a484-14ed8e5d3481.vtt" type="text/vtt" language="en"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Terry Rodriguez is the Co-Founder at Remyx AI. They discuss the challenges and opportunities in deploying and updating AI models for robotics, exploring the potential applications across various industries, and delving into the complexities of...</itunes:subtitle><itunes:summary><![CDATA[Terry Rodriguez is the Co-Founder at Remyx AI. They discuss the challenges and opportunities in deploying and updating AI models for robotics, exploring the potential applications across various industries, and delving into the complexities of conducting experiments and controlling for interaction effects. You'll also hear from industry experts who have worked on recommender algorithms and enhancing content recommendations through experimental workflows and hypothesis testing. Get ready for an insightful and dynamic conversation about the latest developments in the ML landscape!<br />Sponsors<br /><ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Socials<br /><ul><li><a href="https://www.linkedin.com/in/terry-j-rodriguez/" target="_blank" rel="noreferrer noopener">LinkedIn: Terry Rodriguez</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3998</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/c86137e6317e43ebacc3e65cadc2d6f8.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Harnessing Open Source Contributions in Machine Learning and Quantization - ML 148</title><link>https://www.spreaker.com/episode/harnessing-open-source-contributions-in-machine-learning-and-quantization-ml-148--59580260</link><description><![CDATA[Lukas Geiger is a Deep Learning Scientist, open-source developer, and an astroparticle physicist. He shares his experience using machine learning to analyze cosmic ray particles and detect secondary particles. We explore the challenges and opportunities of open source as a business model, the potential of models for edge computing, and the importance of understanding open-source code. Join us as we delve into the intersection of physics, machine learning, and the intricate world of software development.<br />Sponsors<br /><ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Socials<br /><ul><li><a href="https://www.linkedin.com/in/lgeiger/" target="_blank" rel="noreferrer noopener">LinkedIn: Lukas Geiger</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/59580260</guid><pubDate>Thu, 18 Apr 2024 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/59580260/ml_148.mp3" length="56085994" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Lukas Geiger is a Deep Learning Scientist, open-source developer, and an astroparticle physicist. He shares his experience using machine learning to analyze cosmic ray particles and detect secondary particles. We explore the challenges and...</itunes:subtitle><itunes:summary><![CDATA[Lukas Geiger is a Deep Learning Scientist, open-source developer, and an astroparticle physicist. He shares his experience using machine learning to analyze cosmic ray particles and detect secondary particles. We explore the challenges and opportunities of open source as a business model, the potential of models for edge computing, and the importance of understanding open-source code. Join us as we delve into the intersection of physics, machine learning, and the intricate world of software development.<br />Sponsors<br /><ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Socials<br /><ul><li><a href="https://www.linkedin.com/in/lgeiger/" target="_blank" rel="noreferrer noopener">LinkedIn: Lukas Geiger</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>4569</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/c86137e6317e43ebacc3e65cadc2d6f8.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Data Platform Innovation: Navigating Challenges and Building a Unified Experience - ML 147</title><link>https://www.spreaker.com/episode/data-platform-innovation-navigating-challenges-and-building-a-unified-experience-ml-147--59413388</link><description><![CDATA[Nick Schrock is the Founder of Dagster Labs. He is also the Creator of Dagster and the Co-creator of GraphQL. They delve into the world of data engineering, software development, and ML orchestration. In today's episode, they explore the challenges and intricacies of standardizing data movement, handling data access in various systems, and migrating data across different platforms. They share insights on the importance of building a system that spans multiple data platforms, the decision-making process behind tool development, and the impact of lineage in managing and migrating data. Join them as they uncover the complexities of open-source projects, API evolution, and the future of data engineering.<br /><br />Sponsors<br /><ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Socials<br /><ul><li><a href="https://www.linkedin.com/in/schrockn/" target="_blank" rel="noreferrer noopener">LinkedIn: Nick Schrock</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/59413388</guid><pubDate>Thu, 11 Apr 2024 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/59413388/ml_147.mp3" length="49071891" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/sounder/8683a8a2-5aa9-4041-bbe7-e2fe666a9524/8683a8a2-5aa9-4041-bbe7-e2fe666a9524.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/sounder/8683a8a2-5aa9-4041-bbe7-e2fe666a9524/8683a8a2-5aa9-4041-bbe7-e2fe666a9524.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/sounder/8683a8a2-5aa9-4041-bbe7-e2fe666a9524/8683a8a2-5aa9-4041-bbe7-e2fe666a9524.vtt" type="text/vtt" language="en"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Nick Schrock is the Founder of Dagster Labs. He is also the Creator of Dagster and the Co-creator of GraphQL. They delve into the world of data engineering, software development, and ML orchestration. In today's episode, they explore the challenges...</itunes:subtitle><itunes:summary><![CDATA[Nick Schrock is the Founder of Dagster Labs. He is also the Creator of Dagster and the Co-creator of GraphQL. They delve into the world of data engineering, software development, and ML orchestration. In today's episode, they explore the challenges and intricacies of standardizing data movement, handling data access in various systems, and migrating data across different platforms. They share insights on the importance of building a system that spans multiple data platforms, the decision-making process behind tool development, and the impact of lineage in managing and migrating data. Join them as they uncover the complexities of open-source projects, API evolution, and the future of data engineering.<br /><br />Sponsors<br /><ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Socials<br /><ul><li><a href="https://www.linkedin.com/in/schrockn/" target="_blank" rel="noreferrer noopener">LinkedIn: Nick Schrock</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3985</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/c86137e6317e43ebacc3e65cadc2d6f8.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>The Science-Engineering Blend - ML 146</title><link>https://www.spreaker.com/episode/the-science-engineering-blend-ml-146--59316433</link><description><![CDATA[Ben and Michael dive into the dynamic relationship between engineers and scientists in the realms of software engineering and physical science. They explore the differences and similarities between these roles, sharing valuable insights on the research and testing processes, the importance of thorough research, the value of teamwork, and the challenges of transitioning between engineering and science. With analogies, real-world examples, and expert perspectives, they shed light on the intricacies of these roles and the considerations for hiring scientists and engineers based on company size and market effects. Tune in for a thought-provoking discussion on finding the optimal path between efficiency and innovation in the world of technology and research!<br /><br /><br />Sponsors<br /><ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/59316433</guid><pubDate>Thu, 04 Apr 2024 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/59316433/ml_146.mp3" length="38559920" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/sounder/c8e57dd2-271f-4936-b976-5cc6e144cf4a/c8e57dd2-271f-4936-b976-5cc6e144cf4a.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/sounder/c8e57dd2-271f-4936-b976-5cc6e144cf4a/c8e57dd2-271f-4936-b976-5cc6e144cf4a.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/sounder/c8e57dd2-271f-4936-b976-5cc6e144cf4a/c8e57dd2-271f-4936-b976-5cc6e144cf4a.vtt" type="text/vtt" language="en"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Ben and Michael dive into the dynamic relationship between engineers and scientists in the realms of software engineering and physical science. They explore the differences and similarities between these roles, sharing valuable insights on the...</itunes:subtitle><itunes:summary><![CDATA[Ben and Michael dive into the dynamic relationship between engineers and scientists in the realms of software engineering and physical science. They explore the differences and similarities between these roles, sharing valuable insights on the research and testing processes, the importance of thorough research, the value of teamwork, and the challenges of transitioning between engineering and science. With analogies, real-world examples, and expert perspectives, they shed light on the intricacies of these roles and the considerations for hiring scientists and engineers based on company size and market effects. Tune in for a thought-provoking discussion on finding the optimal path between efficiency and innovation in the world of technology and research!<br /><br /><br />Sponsors<br /><ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3109</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/c86137e6317e43ebacc3e65cadc2d6f8.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>The Impact of Process on Successful Tech Companies - ML 145</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/the-impact-of-process-on-successful-tech-companies-ml-145</link><description><![CDATA[Michael and Ben dive into the critical role of design in software development processes. They emphasize the value of clear and understandable code, the importance of thorough design for complex projects, and the need for comprehensive documentation and peer reviews. The conversation also delves into the challenges of handling complex code, the significance of prototype research, and the distinction between design decisions and implementation details. Through real-world examples, they illustrate the impact of rushed processes on project outcomes and the responsibility of tech leads in analyzing and deleting unused code. Join them as they explore how process and organizational culture contribute to successful outcomes in tech companies and why companies invest in skilled individuals who can work efficiently within established processes.<br /><br /><br />Sponsors<br /><ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/59215073</guid><pubDate>Thu, 28 Mar 2024 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/59215073/ml_145.mp3" length="48549876" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/sounder/aa876f17-920b-430a-a251-f2718c7ca083/aa876f17-920b-430a-a251-f2718c7ca083.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/sounder/aa876f17-920b-430a-a251-f2718c7ca083/aa876f17-920b-430a-a251-f2718c7ca083.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/sounder/aa876f17-920b-430a-a251-f2718c7ca083/aa876f17-920b-430a-a251-f2718c7ca083.vtt" type="text/vtt" language="en"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Michael and Ben dive into the critical role of design in software development processes. They emphasize the value of clear and understandable code, the importance of thorough design for complex projects, and the need for comprehensive documentation...</itunes:subtitle><itunes:summary><![CDATA[Michael and Ben dive into the critical role of design in software development processes. They emphasize the value of clear and understandable code, the importance of thorough design for complex projects, and the need for comprehensive documentation and peer reviews. The conversation also delves into the challenges of handling complex code, the significance of prototype research, and the distinction between design decisions and implementation details. Through real-world examples, they illustrate the impact of rushed processes on project outcomes and the responsibility of tech leads in analyzing and deleting unused code. Join them as they explore how process and organizational culture contribute to successful outcomes in tech companies and why companies invest in skilled individuals who can work efficiently within established processes.<br /><br /><br />Sponsors<br /><ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3941</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/c86137e6317e43ebacc3e65cadc2d6f8.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Delivering Scoped Solutions: Lessons in Fixing Production System Issues - ML 144</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/delivering-scoped-solutions-lessons-in-fixing-production-system-issues-ml-144</link><description><![CDATA[Michael and Ben share their insights on being called in to fix issues in production systems at the last minute. They stress the importance of asking questions to understand the context and navigate the political landscape, and caution against providing half-baked solutions. They also discuss the significance of understanding project goals, documenting decision-making processes, and providing guidance to the team to avoid building unnecessary and difficult-to-maintain systems. Stay tuned as they share their experiences and valuable advice for navigating complex projects and delivering meaningful solutions.<br /><br /><br />Sponsors<br /><ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/59134487</guid><pubDate>Thu, 21 Mar 2024 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/59134487/ml_144.mp3" length="28755852" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/sounder/5b6b28fe-218e-4cd9-a0df-b1760fbad2f3/5b6b28fe-218e-4cd9-a0df-b1760fbad2f3.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/sounder/5b6b28fe-218e-4cd9-a0df-b1760fbad2f3/5b6b28fe-218e-4cd9-a0df-b1760fbad2f3.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/sounder/5b6b28fe-218e-4cd9-a0df-b1760fbad2f3/5b6b28fe-218e-4cd9-a0df-b1760fbad2f3.vtt" type="text/vtt" language="en"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Michael and Ben share their insights on being called in to fix issues in production systems at the last minute. They stress the importance of asking questions to understand the context and navigate the political landscape, and caution against...</itunes:subtitle><itunes:summary><![CDATA[Michael and Ben share their insights on being called in to fix issues in production systems at the last minute. They stress the importance of asking questions to understand the context and navigate the political landscape, and caution against providing half-baked solutions. They also discuss the significance of understanding project goals, documenting decision-making processes, and providing guidance to the team to avoid building unnecessary and difficult-to-maintain systems. Stay tuned as they share their experiences and valuable advice for navigating complex projects and delivering meaningful solutions.<br /><br /><br />Sponsors<br /><ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2292</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/c86137e6317e43ebacc3e65cadc2d6f8.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>MLOps 101: Scoping, Latency, Data Curation, and Continuous Model Retraining - ML 143</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/mlops-101-scoping-latency-data-curation-and-continuous-model-retraining-ml-143</link><description><![CDATA[Ben and Michael dive into the world of machine learning operations (MLOps) and discuss the complexities of building a computer vision pipeline to detect fishing boats at ports. They unpack the intricacies of MLOps basics and the challenges of implementing an effective computer vision model for traffic optimization and data collection at ports. From discussing the importance of exploratory data analysis (EDA) and data cleaning for image classification to the intricacies of continuous integration and deployment, this episode provides invaluable insights into the practical application of machine learning in real-world scenarios.Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">105d2922-2bed-485d-8e5a-b5c29ebf4cf3</guid><pubDate>Thu, 14 Mar 2024 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/59122796/stream.mp3" length="60142511" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/sounder/ce1658f4-d529-43ad-81dd-92a39bd38024/ce1658f4-d529-43ad-81dd-92a39bd38024.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/sounder/ce1658f4-d529-43ad-81dd-92a39bd38024/ce1658f4-d529-43ad-81dd-92a39bd38024.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/sounder/ce1658f4-d529-43ad-81dd-92a39bd38024/ce1658f4-d529-43ad-81dd-92a39bd38024.vtt" type="text/vtt" language="en"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Ben and Michael dive into the world of machine learning operations (MLOps) and discuss the complexities of building a computer vision pipeline to detect fishing boats at ports. They unpack the intricacies of MLOps basics and the challenges of...</itunes:subtitle><itunes:summary><![CDATA[Ben and Michael dive into the world of machine learning operations (MLOps) and discuss the complexities of building a computer vision pipeline to detect fishing boats at ports. They unpack the intricacies of MLOps basics and the challenges of implementing an effective computer vision model for traffic optimization and data collection at ports. From discussing the importance of exploratory data analysis (EDA) and data cleaning for image classification to the intricacies of continuous integration and deployment, this episode provides invaluable insights into the practical application of machine learning in real-world scenarios.Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3681</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Navigating Authority and Transparency in Organizations - ML 142</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/navigating-authority-and-transparency-in-organizations-ml-142</link><description><![CDATA[Ben and Michael dive into the complex world of decision-making, transparency, and truth-seeking in professional settings. They share their insights on challenging decisions, navigating organizational hierarchies, and the importance of evidence-based arguments. From the intricacies of software development to the dynamics of leadership, they discuss the challenges and strategies for making informed decisions and seeking truth within organizations. Whether you're a tech lead, director, or aspiring leader, this episode offers valuable perspectives on humility, empathy, and effective communication in the fast-paced world of technology.<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br /><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">f5f896e7-8cb4-4735-aed9-36dcb32138bb</guid><pubDate>Thu, 22 Feb 2024 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842088/stream.mp3" length="44427754" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/sounder/f01cd50e-fe10-4cb9-9abc-139a4952040a/f01cd50e-fe10-4cb9-9abc-139a4952040a.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/sounder/f01cd50e-fe10-4cb9-9abc-139a4952040a/f01cd50e-fe10-4cb9-9abc-139a4952040a.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/sounder/f01cd50e-fe10-4cb9-9abc-139a4952040a/f01cd50e-fe10-4cb9-9abc-139a4952040a.vtt" type="text/vtt" language="en"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Ben and Michael dive into the complex world of decision-making, transparency, and truth-seeking in professional settings. They share their insights on challenging decisions, navigating organizational hierarchies, and the importance of evidence-based...</itunes:subtitle><itunes:summary><![CDATA[Ben and Michael dive into the complex world of decision-making, transparency, and truth-seeking in professional settings. They share their insights on challenging decisions, navigating organizational hierarchies, and the importance of evidence-based arguments. From the intricacies of software development to the dynamics of leadership, they discuss the challenges and strategies for making informed decisions and seeking truth within organizations. Whether you're a tech lead, director, or aspiring leader, this episode offers valuable perspectives on humility, empathy, and effective communication in the fast-paced world of technology.<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br /><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3598</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Evolution of Dlib: Addressing Challenges in Machine Learning and Computer Vision - ML 141</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/evolution-of-dlib-addressing-challenges-in-machine-learning-and-computer-vision-ml-141</link><description><![CDATA[<a href="https://www.linkedin.com/in/davisking/overlay/about-this-profile/" target="_blank" rel="noreferrer noopener">Davis King</a> is the perception engineer at Aurora. They talk about Dlib, which makes real-world machine learning and data analysis applications. They delve into the complexities of CUDA extensions, software layering, and the critical role of accurate data in machine learning. Join them as they dissect the challenges and importance of creating well-structured software with clear APIs, the intricacies of real-time systems, and the impact of language choice on code complexity and maintenance.<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul>Links <ul><li><a href="http://dlib.net/" target="_blank" rel="noreferrer noopener">Dlib.net</a></li></ul>Socials<ul><li>LinkedIn: <a href="https://www.linkedin.com/in/davisking/overlay/about-this-profile/" target="_blank" rel="noreferrer noopener">Davis King</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">136c8973-1314-4ba6-b514-d193879a8215</guid><pubDate>Thu, 08 Feb 2024 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842123/stream.mp3" length="56913867" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/sounder/568b133b-8b59-40f9-966c-99a51f6aa9fa/568b133b-8b59-40f9-966c-99a51f6aa9fa.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/sounder/568b133b-8b59-40f9-966c-99a51f6aa9fa/568b133b-8b59-40f9-966c-99a51f6aa9fa.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/sounder/568b133b-8b59-40f9-966c-99a51f6aa9fa/568b133b-8b59-40f9-966c-99a51f6aa9fa.vtt" type="text/vtt" language="en"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>https://www.linkedin.com/in/davisking/overlay/about-this-profile/ is the perception engineer at Aurora. They talk about Dlib, which makes real-world machine learning and data analysis applications. They delve into the complexities of CUDA extensions,...</itunes:subtitle><itunes:summary><![CDATA[<a href="https://www.linkedin.com/in/davisking/overlay/about-this-profile/" target="_blank" rel="noreferrer noopener">Davis King</a> is the perception engineer at Aurora. They talk about Dlib, which makes real-world machine learning and data analysis applications. They delve into the complexities of CUDA extensions, software layering, and the critical role of accurate data in machine learning. Join them as they dissect the challenges and importance of creating well-structured software with clear APIs, the intricacies of real-time systems, and the impact of language choice on code complexity and maintenance.<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul>Links <ul><li><a href="http://dlib.net/" target="_blank" rel="noreferrer noopener">Dlib.net</a></li></ul>Socials<ul><li>LinkedIn: <a href="https://www.linkedin.com/in/davisking/overlay/about-this-profile/" target="_blank" rel="noreferrer noopener">Davis King</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>4638</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Strategies for Improving Code Quality and Maintenance in the Python Environment - ML 140</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/strategies-for-improving-code-quality-and-maintenance-in-the-python-environment-ml-140</link><description><![CDATA[Ben and Michael delve into the crucial aspects of coding, culture, and collaboration. From the importance of proper formatting and consistency in Python code to the challenges of changing organizational culture, they explore the impact of code quality on team dynamics and project success. They emphasize empathy, communication, and the power of a positive vision to drive change. Tune in to gain insights on tackling diverse problems, the role of documentation, and the significance of modularization in codebases. Join them as they navigate the world of development and seek to create a positive work environment where clear, understandable code thrives.<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br /><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">d2abbc33-411b-4059-ad5d-a716096ae7a1</guid><pubDate>Thu, 25 Jan 2024 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842091/stream.mp3" length="48297847" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/sounder/c99202e2-c7b7-4f3c-ae6c-b6340242b46e/c99202e2-c7b7-4f3c-ae6c-b6340242b46e.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/sounder/c99202e2-c7b7-4f3c-ae6c-b6340242b46e/c99202e2-c7b7-4f3c-ae6c-b6340242b46e.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/sounder/c99202e2-c7b7-4f3c-ae6c-b6340242b46e/c99202e2-c7b7-4f3c-ae6c-b6340242b46e.vtt" type="text/vtt" language="en"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Ben and Michael delve into the crucial aspects of coding, culture, and collaboration. From the importance of proper formatting and consistency in Python code to the challenges of changing organizational culture, they explore the impact of code quality...</itunes:subtitle><itunes:summary><![CDATA[Ben and Michael delve into the crucial aspects of coding, culture, and collaboration. From the importance of proper formatting and consistency in Python code to the challenges of changing organizational culture, they explore the impact of code quality on team dynamics and project success. They emphasize empathy, communication, and the power of a positive vision to drive change. Tune in to gain insights on tackling diverse problems, the role of documentation, and the significance of modularization in codebases. Join them as they navigate the world of development and seek to create a positive work environment where clear, understandable code thrives.<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br /><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3920</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Lyft's ML Infrastructure Journey - ML 139</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/lyft-s-ml-infrastructure-journey-ml-139</link><description><![CDATA[<a href="https://www.linkedin.com/in/gizdarski/overlay/about-this-profile/" target="_blank" rel="noreferrer noopener">Konstantin Gizdarski</a> and <a href="https://www.linkedin.com/in/jonas-timmermann/overlay/about-this-profile/" target="_blank" rel="noreferrer noopener">Jonas Timmermann</a> are software engineers at Lyft. They dive deep into the world of machine learning and engineering at Lyft. Join them as they explore the challenges and successes of implementing reinforcement learning, contextual bandits, and advanced AI technologies in a real-world business environment. Learn about the collaborative engineering culture at Lyft, the development of new ML capabilities, and the unique approaches to infrastructure and model deployment. Listen in as industry experts share their insights on accelerating decision-making processes, simplifying tools for end users, and finding innovative solutions to common engineering challenges.<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Socials<ul><li>LinkedIn: <a href="https://www.linkedin.com/in/gizdarski/overlay/about-this-profile/" target="_blank" rel="noreferrer noopener">Konstantin Gizdarski</a></li><li>LinkedIn: <a href="https://www.linkedin.com/in/jonas-timmermann/overlay/about-this-profile/" target="_blank" rel="noreferrer noopener">Jonas Timmermann</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">c65a5de2-11f6-42ea-bf17-433239e2eb01</guid><pubDate>Thu, 18 Jan 2024 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842099/stream.mp3" length="48201925" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/sounder/c98e8463-1b31-493f-b589-915f20592cd4/c98e8463-1b31-493f-b589-915f20592cd4.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/sounder/c98e8463-1b31-493f-b589-915f20592cd4/c98e8463-1b31-493f-b589-915f20592cd4.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/sounder/c98e8463-1b31-493f-b589-915f20592cd4/c98e8463-1b31-493f-b589-915f20592cd4.vtt" type="text/vtt" language="en"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>https://www.linkedin.com/in/gizdarski/overlay/about-this-profile/ and https://www.linkedin.com/in/jonas-timmermann/overlay/about-this-profile/ are software engineers at Lyft. They dive deep into the world of machine learning and engineering at Lyft....</itunes:subtitle><itunes:summary><![CDATA[<a href="https://www.linkedin.com/in/gizdarski/overlay/about-this-profile/" target="_blank" rel="noreferrer noopener">Konstantin Gizdarski</a> and <a href="https://www.linkedin.com/in/jonas-timmermann/overlay/about-this-profile/" target="_blank" rel="noreferrer noopener">Jonas Timmermann</a> are software engineers at Lyft. They dive deep into the world of machine learning and engineering at Lyft. Join them as they explore the challenges and successes of implementing reinforcement learning, contextual bandits, and advanced AI technologies in a real-world business environment. Learn about the collaborative engineering culture at Lyft, the development of new ML capabilities, and the unique approaches to infrastructure and model deployment. Listen in as industry experts share their insights on accelerating decision-making processes, simplifying tools for end users, and finding innovative solutions to common engineering challenges.<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Socials<ul><li>LinkedIn: <a href="https://www.linkedin.com/in/gizdarski/overlay/about-this-profile/" target="_blank" rel="noreferrer noopener">Konstantin Gizdarski</a></li><li>LinkedIn: <a href="https://www.linkedin.com/in/jonas-timmermann/overlay/about-this-profile/" target="_blank" rel="noreferrer noopener">Jonas Timmermann</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3912</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>From Open Source to Traditional ML with James Lamb - ML 138</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/from-open-source-to-traditional-ml-with-james-lamb-ml-138</link><description><![CDATA[<a href="https://www.linkedin.com/in/jameslamb1/overlay/about-this-profile/" target="_blank" rel="noreferrer noopener">James Lamb</a> is a senior software engineer at NVIDIA. They delve into the world of open-source contributions and the impact of traditional machine learning on the modern economy. James shares his journey of becoming a maintainer of renowned open-source projects while offering valuable insights into the benefits and motivations behind contributing to the community.Join them as they explore the significance of human review in the PR process, the value of automated feedback, and the importance of maintaining a positive and inclusive environment for contributors in open-source projects.<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Socials<ul><li><a href="https://www.linkedin.com/in/jameslamb1/" target="_blank" rel="noreferrer noopener">LinkedIn: James Lamb</a></li><li><a href="https://twitter.com/_jameslamb" target="_blank" rel="noreferrer noopener">Twitter: @_jameslamb</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">0bc8b4ba-4acc-4d2e-9684-22b3a530da77</guid><pubDate>Thu, 04 Jan 2024 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842100/stream.mp3" length="40197798" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/sounder/9f4067fb-ca89-44e9-ac75-894d621bf6dc/9f4067fb-ca89-44e9-ac75-894d621bf6dc.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/sounder/9f4067fb-ca89-44e9-ac75-894d621bf6dc/9f4067fb-ca89-44e9-ac75-894d621bf6dc.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/sounder/9f4067fb-ca89-44e9-ac75-894d621bf6dc/9f4067fb-ca89-44e9-ac75-894d621bf6dc.vtt" type="text/vtt" language="en"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>https://www.linkedin.com/in/jameslamb1/overlay/about-this-profile/ is a senior software engineer at NVIDIA. They delve into the world of open-source contributions and the impact of traditional machine learning on the modern economy. James shares his...</itunes:subtitle><itunes:summary><![CDATA[<a href="https://www.linkedin.com/in/jameslamb1/overlay/about-this-profile/" target="_blank" rel="noreferrer noopener">James Lamb</a> is a senior software engineer at NVIDIA. They delve into the world of open-source contributions and the impact of traditional machine learning on the modern economy. James shares his journey of becoming a maintainer of renowned open-source projects while offering valuable insights into the benefits and motivations behind contributing to the community.Join them as they explore the significance of human review in the PR process, the value of automated feedback, and the importance of maintaining a positive and inclusive environment for contributors in open-source projects.<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Socials<ul><li><a href="https://www.linkedin.com/in/jameslamb1/" target="_blank" rel="noreferrer noopener">LinkedIn: James Lamb</a></li><li><a href="https://twitter.com/_jameslamb" target="_blank" rel="noreferrer noopener">Twitter: @_jameslamb</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3245</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Wars of AI and Justice: Handling Uncertainties and Ethical Quandaries - ML 137</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/wars-of-ai-and-justice-handling-uncertainties-and-ethical-quandaries-ml-137</link><description><![CDATA[ Richard Berk delves into the exciting world of machine learning in a thought-provoking discussion on a wide range of topics. They explore the potential for Westworld-style androids, considerations in the criminal justice system, ethical implications of AI in warfare, and the challenges of understanding uncertainty in real-world data. From advanced language models and genetic algorithms to the impact of AI on everyday life, get ready for a fascinating and insightful conversation that will expand your understanding of the evolving landscape of machine learning.<br /><br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br /><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">639237e4-8144-408b-bb61-e47828a77061</guid><pubDate>Thu, 21 Dec 2023 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842107/stream.mp3" length="65212028" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/sounder/f5fadd35-ffbc-4001-9964-6d31d0804a8c/f5fadd35-ffbc-4001-9964-6d31d0804a8c.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/sounder/f5fadd35-ffbc-4001-9964-6d31d0804a8c/f5fadd35-ffbc-4001-9964-6d31d0804a8c.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/sounder/f5fadd35-ffbc-4001-9964-6d31d0804a8c/f5fadd35-ffbc-4001-9964-6d31d0804a8c.vtt" type="text/vtt" language="en"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle> Richard Berk delves into the exciting world of machine learning in a thought-provoking discussion on a wide range of topics. They explore the potential for Westworld-style androids, considerations in the criminal justice system, ethical implications...</itunes:subtitle><itunes:summary><![CDATA[ Richard Berk delves into the exciting world of machine learning in a thought-provoking discussion on a wide range of topics. They explore the potential for Westworld-style androids, considerations in the criminal justice system, ethical implications of AI in warfare, and the challenges of understanding uncertainty in real-world data. From advanced language models and genetic algorithms to the impact of AI on everyday life, get ready for a fascinating and insightful conversation that will expand your understanding of the evolving landscape of machine learning.<br /><br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br /><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>5330</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Beyond Machine Learning - ML 136</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/beyond-machine-learning-ml-136</link><description><![CDATA[Michael and Ben take a deep dive into the insightful journey spanning nuclear engineering, software development, and mentorship at Databricks. They delve into the complexities of career progression, the importance of humility and honesty in mentoring relationships, and the value of fostering a collaborative engineering culture. Join us as we explore the pivotal moments and impactful lessons that have shaped Ben's career and influenced their perspective on the ever-evolving tech industry.<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br /><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">5eea6550-3d14-43ff-9ec2-71b5f21daa82</guid><pubDate>Thu, 07 Dec 2023 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842132/stream.mp3" length="55780048" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/sounder/3d5cc284-4e25-499e-9382-109f0373aea5/3d5cc284-4e25-499e-9382-109f0373aea5.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/sounder/3d5cc284-4e25-499e-9382-109f0373aea5/3d5cc284-4e25-499e-9382-109f0373aea5.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/sounder/3d5cc284-4e25-499e-9382-109f0373aea5/3d5cc284-4e25-499e-9382-109f0373aea5.vtt" type="text/vtt" language="en"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Michael and Ben take a deep dive into the insightful journey spanning nuclear engineering, software development, and mentorship at Databricks. They delve into the complexities of career progression, the importance of humility and honesty in mentoring...</itunes:subtitle><itunes:summary><![CDATA[Michael and Ben take a deep dive into the insightful journey spanning nuclear engineering, software development, and mentorship at Databricks. They delve into the complexities of career progression, the importance of humility and honesty in mentoring relationships, and the value of fostering a collaborative engineering culture. Join us as we explore the pivotal moments and impactful lessons that have shaped Ben's career and influenced their perspective on the ever-evolving tech industry.<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br /><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>4544</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Unraveling AI's Impact: Computer Vision, Generative Models, and Challenges in Software Development - ML 135</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/unraveling-ai-s-impact-computer-vision-generative-models-and-challenges-in-software-development-ml-135</link><description><![CDATA[<a href="https://www.linkedin.com/in/skalskip92/overlay/about-this-profile/" target="_blank" rel="noreferrer noopener">Piotr Skalski</a> is a computer vision engineer at Roboflow. They dive deep into the world of computer vision and AI technology, exploring the utilization of video, photo, and imagery data in array processing and NLP. They discuss the challenges and opportunities presented by these fields, as well as the impact of AI technology on various industries, including civil engineering and manufacturing. Join us as we explore the fascinating intersection of technology, innovation, and the future of software development.<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Socials<ul><li>LinkedIn: <a href="https://www.linkedin.com/in/skalskip92/overlay/about-this-profile/" target="_blank" rel="noreferrer noopener">Piotr Skalsk</a>i</li></ul><br /><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">d37d29ac-908c-4d7b-b48d-73471bc92295</guid><pubDate>Thu, 30 Nov 2023 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842158/stream.mp3" length="55689769" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/sounder/20186cfd-f74e-4846-a0aa-c723e0c69a8e/20186cfd-f74e-4846-a0aa-c723e0c69a8e.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/sounder/20186cfd-f74e-4846-a0aa-c723e0c69a8e/20186cfd-f74e-4846-a0aa-c723e0c69a8e.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/sounder/20186cfd-f74e-4846-a0aa-c723e0c69a8e/20186cfd-f74e-4846-a0aa-c723e0c69a8e.vtt" type="text/vtt" language="en"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>https://www.linkedin.com/in/skalskip92/overlay/about-this-profile/ is a computer vision engineer at Roboflow. They dive deep into the world of computer vision and AI technology, exploring the utilization of video, photo, and imagery data in array...</itunes:subtitle><itunes:summary><![CDATA[<a href="https://www.linkedin.com/in/skalskip92/overlay/about-this-profile/" target="_blank" rel="noreferrer noopener">Piotr Skalski</a> is a computer vision engineer at Roboflow. They dive deep into the world of computer vision and AI technology, exploring the utilization of video, photo, and imagery data in array processing and NLP. They discuss the challenges and opportunities presented by these fields, as well as the impact of AI technology on various industries, including civil engineering and manufacturing. Join us as we explore the fascinating intersection of technology, innovation, and the future of software development.<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Socials<ul><li>LinkedIn: <a href="https://www.linkedin.com/in/skalskip92/overlay/about-this-profile/" target="_blank" rel="noreferrer noopener">Piotr Skalsk</a>i</li></ul><br /><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>4536</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Complexity Theory - ML 134</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/complexity-theory-ml-134</link><description><![CDATA[ In today's episode, we speak with Neil Theise, a pathologist at NYU and author of Notes on Complexity: A Scientific Theory of Connection, Consciousness and Being. Expect to learn about complexity theory and its implications for sentience, how great ideas are formed, whether AGI can be built with silicon-based computers, and much more!<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Socials<ul><li><a href="https://www.linkedin.com/in/neil-theise-63087330/" target="_blank" rel="noreferrer noopener">LinkedIn: Neil Theise</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">b40a6f40-67bf-493d-9da4-19bafd810469</guid><pubDate>Thu, 23 Nov 2023 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842140/stream.mp3" length="64912038" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/sounder/a37211e6-8aa9-4a92-adb5-d483437af4f1/a37211e6-8aa9-4a92-adb5-d483437af4f1.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/sounder/a37211e6-8aa9-4a92-adb5-d483437af4f1/a37211e6-8aa9-4a92-adb5-d483437af4f1.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/sounder/a37211e6-8aa9-4a92-adb5-d483437af4f1/a37211e6-8aa9-4a92-adb5-d483437af4f1.vtt" type="text/vtt" language="en"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle> In today's episode, we speak with Neil Theise, a pathologist at NYU and author of Notes on Complexity: A Scientific Theory of Connection, Consciousness and Being. Expect to learn about complexity theory and its implications for sentience, how great...</itunes:subtitle><itunes:summary><![CDATA[ In today's episode, we speak with Neil Theise, a pathologist at NYU and author of Notes on Complexity: A Scientific Theory of Connection, Consciousness and Being. Expect to learn about complexity theory and its implications for sentience, how great ideas are formed, whether AGI can be built with silicon-based computers, and much more!<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Socials<ul><li><a href="https://www.linkedin.com/in/neil-theise-63087330/" target="_blank" rel="noreferrer noopener">LinkedIn: Neil Theise</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>5305</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>How To Recession Proof Your Job - BONUS</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/how-to-recession-proof-your-job-bonus-6f49f962-0059-4dbb-8420-8d2997bf9bb9</link><description><![CDATA[<a href="https://topenddevs.com/thrive" target="_blank" rel="noreferrer noopener">Get the Black Friday/Cyber Monday "Double Your Productivity by 5pm Today" Deal</a>Coupon Code: "THRIVE" for a GIANT discount<br />Are you looking at all the layoffs and uncertainty going on and wondering if your company is the next to cut back? <br />Or, maybe you're a freelancer or entrepreneur who is trying to figure out how to deliver more value to gain or retain customers?<br />Mani Vaya joins Charles Max Wood to discuss the one thing that both of them use to more than double their productivity on a daily basis.<br />Mani has read 1,000's of productivity books over the last several years and has formulated a methodology for getting more done, but found that he lacked the discipline to follow through on his plans.<br />The he found the one thing that kept him on track and made him so productive that he is now getting all of his work done and was able to live the life he wants.<br />Chuck also weighs in on how Mani's technique has worked for him and allows him to spend more time with his wife and kids, run a podcast network, and a nearly full time contract.<br />Join the episode to learn how Chuck and Mani get into a regular flow state with their work and consistently deliver at work.<br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">df2d54d6-94e2-4f34-9dd5-e3c502ce406a</guid><pubDate>Thu, 23 Nov 2023 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842109/stream.mp3" length="104275928" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/sounder/8efbac80-d7ea-4abb-b259-1cdb03cd5143/8efbac80-d7ea-4abb-b259-1cdb03cd5143.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/sounder/8efbac80-d7ea-4abb-b259-1cdb03cd5143/8efbac80-d7ea-4abb-b259-1cdb03cd5143.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/sounder/8efbac80-d7ea-4abb-b259-1cdb03cd5143/8efbac80-d7ea-4abb-b259-1cdb03cd5143.vtt" type="text/vtt" language="en"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>https://topenddevs.com/thriveCoupon Code: "THRIVE" for a GIANT discount
Are you looking at all the layoffs and uncertainty going on and wondering if your company is the next to cut back? 
Or, maybe you're a freelancer or entrepreneur who is trying to...</itunes:subtitle><itunes:summary><![CDATA[<a href="https://topenddevs.com/thrive" target="_blank" rel="noreferrer noopener">Get the Black Friday/Cyber Monday "Double Your Productivity by 5pm Today" Deal</a>Coupon Code: "THRIVE" for a GIANT discount<br />Are you looking at all the layoffs and uncertainty going on and wondering if your company is the next to cut back? <br />Or, maybe you're a freelancer or entrepreneur who is trying to figure out how to deliver more value to gain or retain customers?<br />Mani Vaya joins Charles Max Wood to discuss the one thing that both of them use to more than double their productivity on a daily basis.<br />Mani has read 1,000's of productivity books over the last several years and has formulated a methodology for getting more done, but found that he lacked the discipline to follow through on his plans.<br />The he found the one thing that kept him on track and made him so productive that he is now getting all of his work done and was able to live the life he wants.<br />Chuck also weighs in on how Mani's technique has worked for him and allows him to spend more time with his wife and kids, run a podcast network, and a nearly full time contract.<br />Join the episode to learn how Chuck and Mani get into a regular flow state with their work and consistently deliver at work.<br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>4345</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Data Watchdogs - ML 133</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/data-watchdogs-ml-133</link><description><![CDATA[In today's episode, we speak with Agata Checinska (Spotify) and Kasia Batko-Toluc (Citizen Network Watchdog Poland) about data privacy, accessibility, and accuracy. Expect to learn about how Poland approaches these sensitive topics, the power of deep fakes, and much more!<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Socials<ul><li><a href="https://www.linkedin.com/in/agata-checinska/" target="_blank" rel="noreferrer noopener">LinkedIn: Agata Checinska</a></li><li><a href="https://www.linkedin.com/in/katarzyna-batko-toluc-a7322827/" target="_blank" rel="noreferrer noopener">LinkedIn: Katarzyna Batko-Toluc</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">9561a46f-3368-40d7-9944-f6e3ec3a47dd</guid><pubDate>Thu, 16 Nov 2023 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842103/stream.mp3" length="44769749" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>In today's episode, we speak with Agata Checinska (Spotify) and Kasia Batko-Toluc (Citizen Network Watchdog Poland) about data privacy, accessibility, and accuracy. Expect to learn about how Poland approaches these sensitive topics, the power of deep...</itunes:subtitle><itunes:summary><![CDATA[In today's episode, we speak with Agata Checinska (Spotify) and Kasia Batko-Toluc (Citizen Network Watchdog Poland) about data privacy, accessibility, and accuracy. Expect to learn about how Poland approaches these sensitive topics, the power of deep fakes, and much more!<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Socials<ul><li><a href="https://www.linkedin.com/in/agata-checinska/" target="_blank" rel="noreferrer noopener">LinkedIn: Agata Checinska</a></li><li><a href="https://www.linkedin.com/in/katarzyna-batko-toluc-a7322827/" target="_blank" rel="noreferrer noopener">LinkedIn: Katarzyna Batko-Toluc</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3626</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Causal Analysis - ML 132</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/causal-analysis-ml-132</link><description><![CDATA[In today's episode, we speak with Pierre Eliseeff, co-founder of Analyzr and causal inference expert. Expect to learn a 3-step blueprint for doing causal analysis, thinking critically about data, creating successful projects, and much more!<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">2c67e905-528f-4b59-9930-4016c62afbd7</guid><pubDate>Thu, 09 Nov 2023 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842101/stream.mp3" length="46041808" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>In today's episode, we speak with Pierre Eliseeff, co-founder of Analyzr and causal inference expert. Expect to learn a 3-step blueprint for doing causal analysis, thinking critically about data, creating successful projects, and much more!
Sponsors
-...</itunes:subtitle><itunes:summary><![CDATA[In today's episode, we speak with Pierre Eliseeff, co-founder of Analyzr and causal inference expert. Expect to learn a 3-step blueprint for doing causal analysis, thinking critically about data, creating successful projects, and much more!<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3732</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Data Visualization and Hugging Face - ML 131</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/data-visualization-and-hugging-face-ml-131</link><description><![CDATA[In today's episode, we chat with Sylvain Lesage from Hugging Face, a specialist in data visualization and software engineering. Dive in to discover insights about Hugging Face's software engineering environment, invaluable data visualization techniques, and more!<br />Sponsors<ul><li><a href="https://zilliz.com/" target="_blank" rel="noreferrer noopener">Zilliz</a>, who makes <a href="https://zilliz.com/learn/what-is-vector-database" target="_blank" rel="noreferrer noopener">a vector database</a> for the enterprise</li><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Socials<ul><li><a href="https://www.linkedin.com/in/sylvain--lesage/" target="_blank" rel="noreferrer noopener">LinkedIn: Sylvain Lesage</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">5d6fb7ce-518f-4e1e-a38b-1cd1a25965da</guid><pubDate>Thu, 02 Nov 2023 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842092/stream.mp3" length="49563950" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>In today's episode, we chat with Sylvain Lesage from Hugging Face, a specialist in data visualization and software engineering. Dive in to discover insights about Hugging Face's software engineering environment, invaluable data visualization...</itunes:subtitle><itunes:summary><![CDATA[In today's episode, we chat with Sylvain Lesage from Hugging Face, a specialist in data visualization and software engineering. Dive in to discover insights about Hugging Face's software engineering environment, invaluable data visualization techniques, and more!<br />Sponsors<ul><li><a href="https://zilliz.com/" target="_blank" rel="noreferrer noopener">Zilliz</a>, who makes <a href="https://zilliz.com/learn/what-is-vector-database" target="_blank" rel="noreferrer noopener">a vector database</a> for the enterprise</li><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Socials<ul><li><a href="https://www.linkedin.com/in/sylvain--lesage/" target="_blank" rel="noreferrer noopener">LinkedIn: Sylvain Lesage</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>4026</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Confidence as Data Scientist - ML 130</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/confidence-as-data-scientist-ml-130</link><description><![CDATA[In today's episode, we chat with Adam Ross Nelson - a data scientist, career mentor, and writer. Our primary focus is understanding when you've achieved "good enough" skills. Additionally, we explore team dynamics, the importance of soft skills, and offer career guidance for budding data scientists.<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Links<ul><li><a href="https://coaching.adamrossnelson.com/" target="_blank" rel="noreferrer noopener">Data Science Career Accelerator</a></li><li><a href="https://amzn.to/3FtBTnI" target="_blank" rel="noreferrer noopener">How to Become a Data Scientist</a></li><li><a href="https://amzn.to/3FpEgrs" target="_blank" rel="noreferrer noopener">Confident Data Science</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">d47edb09-628b-4d24-b2a8-977067c19bf4</guid><pubDate>Thu, 19 Oct 2023 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842089/stream.mp3" length="45712038" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>In today's episode, we chat with Adam Ross Nelson - a data scientist, career mentor, and writer. Our primary focus is understanding when you've achieved "good enough" skills. Additionally, we explore team dynamics, the importance of soft skills, and...</itunes:subtitle><itunes:summary><![CDATA[In today's episode, we chat with Adam Ross Nelson - a data scientist, career mentor, and writer. Our primary focus is understanding when you've achieved "good enough" skills. Additionally, we explore team dynamics, the importance of soft skills, and offer career guidance for budding data scientists.<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Links<ul><li><a href="https://coaching.adamrossnelson.com/" target="_blank" rel="noreferrer noopener">Data Science Career Accelerator</a></li><li><a href="https://amzn.to/3FtBTnI" target="_blank" rel="noreferrer noopener">How to Become a Data Scientist</a></li><li><a href="https://amzn.to/3FpEgrs" target="_blank" rel="noreferrer noopener">Confident Data Science</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3705</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>A Case Study: Recommendation Engines - ML 129</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/a-case-study-recommendation-engines-ml-129</link><description><![CDATA[In today's episode, we delve into a popular topic at Databricks: building recommendation engines. We'll guide you on how to plan such projects, measure your model's success, suggest effective algorithms, and cover many other insights!<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br /><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">b92b006d-224e-4dcc-9d87-7aeb0f454fc4</guid><pubDate>Thu, 05 Oct 2023 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842085/stream.mp3" length="37287862" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>In today's episode, we delve into a popular topic at Databricks: building recommendation engines. We'll guide you on how to plan such projects, measure your model's success, suggest effective algorithms, and cover many other insights!
Sponsors
-...</itunes:subtitle><itunes:summary><![CDATA[In today's episode, we delve into a popular topic at Databricks: building recommendation engines. We'll guide you on how to plan such projects, measure your model's success, suggest effective algorithms, and cover many other insights!<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br /><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3003</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Maximizing Efficiency in ML Project Development - ML 128</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/maximizing-efficiency-in-ml-project-development-ml-128</link><description><![CDATA[Ben and Michael delve into the world of data science and software development. They discuss the importance of setting standards and documentation in project development, the struggle of reviewing and maintaining code changes, and the need for programmatic solutions to automate review processes. They explore the journey of building prototypes, tackling uncertainties, and the quest for a more reliable and efficient review process.<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br /><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">1c23d22d-b405-43a4-bc8c-d8876a0e7a81</guid><pubDate>Thu, 21 Sep 2023 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842143/stream.mp3" length="68946076" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Ben and Michael delve into the world of data science and software development. They discuss the importance of setting standards and documentation in project development, the struggle of reviewing and maintaining code changes, and the need for...</itunes:subtitle><itunes:summary><![CDATA[Ben and Michael delve into the world of data science and software development. They discuss the importance of setting standards and documentation in project development, the struggle of reviewing and maintaining code changes, and the need for programmatic solutions to automate review processes. They explore the journey of building prototypes, tackling uncertainties, and the quest for a more reliable and efficient review process.<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br /><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2821</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>AI that Make You Better - ML 127</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/ai-that-make-you-better-ml-127</link><description><![CDATA[In today's episode we speak with Paul Allen, the creator of Ancestry.com. Currently, he is CEO of Soar.com, a platform that leverages AI to make you live a more fulfilled and effective life. Expect to learn about applying LLMs to personal productivity, how Paul thinks about viral content, new applications for LLMs, and much more!<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Socials<ul><li><a href="https://www.linkedin.com/in/paulballen/" target="_blank" rel="noreferrer noopener">LinkedIn: Paul Allen</a></li></ul><br /><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">0654e0e3-d4a7-4b7b-b216-d82655b81153</guid><pubDate>Thu, 14 Sep 2023 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842176/stream.mp3" length="109493969" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>In today's episode we speak with Paul Allen, the creator of Ancestry.com. Currently, he is CEO of Soar.com, a platform that leverages AI to make you live a more fulfilled and effective life. Expect to learn about applying LLMs to personal...</itunes:subtitle><itunes:summary><![CDATA[In today's episode we speak with Paul Allen, the creator of Ancestry.com. Currently, he is CEO of Soar.com, a platform that leverages AI to make you live a more fulfilled and effective life. Expect to learn about applying LLMs to personal productivity, how Paul thinks about viral content, new applications for LLMs, and much more!<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Socials<ul><li><a href="https://www.linkedin.com/in/paulballen/" target="_blank" rel="noreferrer noopener">LinkedIn: Paul Allen</a></li></ul><br /><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>4510</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Challenges for LLM Implementation - ML 126</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/challenges-for-llm-implementation-ml-126</link><description><![CDATA[ In today's episode, we speak with Anand Das, the CTO and co-founder of <a href="http://bito.ai/" target="_blank" rel="noreferrer noopener">bito.ai</a>, an LLM-powered code assistant. Expect to learn about managing LLM context, keeping LLMs up-to-date, common user pitfalls, and much more!<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Socials<ul><li><a href="https://www.linkedin.com/in/ananddas/" target="_blank" rel="noreferrer noopener">LinkedIn: Anand Das</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">268425b4-aa78-4d0b-8a36-3375941ff627</guid><pubDate>Thu, 07 Sep 2023 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842214/stream.mp3" length="111992947" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle> In today's episode, we speak with Anand Das, the CTO and co-founder of http://bito.ai/, an LLM-powered code assistant. Expect to learn about managing LLM context, keeping LLMs up-to-date, common user pitfalls, and much more!
Sponsors
-...</itunes:subtitle><itunes:summary><![CDATA[ In today's episode, we speak with Anand Das, the CTO and co-founder of <a href="http://bito.ai/" target="_blank" rel="noreferrer noopener">bito.ai</a>, an LLM-powered code assistant. Expect to learn about managing LLM context, keeping LLMs up-to-date, common user pitfalls, and much more!<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Socials<ul><li><a href="https://www.linkedin.com/in/ananddas/" target="_blank" rel="noreferrer noopener">LinkedIn: Anand Das</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>4614</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>ML in the Cannabis Industry - ML 125</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/ml-in-the-cannabis-industry-ml-125</link><description><![CDATA[In today's episode, we speak with Shivek Sachdev, product owner at a seed-to-sale Cannabis company. Expect to learn about disrupting new industries, applying LLMs to daily work, and much more!<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Socials<ul><li><a href="https://www.linkedin.com/in/shivek/" target="_blank" rel="noreferrer noopener">LinkedIn: Shivek Sachdev</a></li></ul> <br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">87967ed2-81fe-40fd-81aa-c69438d7dd4c</guid><pubDate>Thu, 24 Aug 2023 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842191/stream.mp3" length="78039196" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>In today's episode, we speak with Shivek Sachdev, product owner at a seed-to-sale Cannabis company. Expect to learn about disrupting new industries, applying LLMs to daily work, and much more!
Sponsors
- https://topenddevs.com/resume
-...</itunes:subtitle><itunes:summary><![CDATA[In today's episode, we speak with Shivek Sachdev, product owner at a seed-to-sale Cannabis company. Expect to learn about disrupting new industries, applying LLMs to daily work, and much more!<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Socials<ul><li><a href="https://www.linkedin.com/in/shivek/" target="_blank" rel="noreferrer noopener">LinkedIn: Shivek Sachdev</a></li></ul> <br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3200</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>How AI Impacts Society - ML 124</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/how-ai-impacts-society-ml-124</link><description><![CDATA[In today's episode we speak to Eric Daimler, a White House Presidential Innovation Fellow, professor at Carnegie Mellon, and the current CEO of Conexus. Expect to learn about how AI is impacting the military, general workforce, and our understanding of sentience! Oh, and make sure you use farm animals when explaining technical concepts. <br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br /><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">aad1ba5a-8e78-41c6-a25a-fcc0dfa8a056</guid><pubDate>Thu, 17 Aug 2023 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842187/stream.mp3" length="88925988" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>In today's episode we speak to Eric Daimler, a White House Presidential Innovation Fellow, professor at Carnegie Mellon, and the current CEO of Conexus. Expect to learn about how AI is impacting the military, general workforce, and our understanding...</itunes:subtitle><itunes:summary><![CDATA[In today's episode we speak to Eric Daimler, a White House Presidential Innovation Fellow, professor at Carnegie Mellon, and the current CEO of Conexus. Expect to learn about how AI is impacting the military, general workforce, and our understanding of sentience! Oh, and make sure you use farm animals when explaining technical concepts. <br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br /><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3653</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>LLMs on Azure - ML 123</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/llms-on-azure-ml-123</link><description><![CDATA[ In today's episode, we speak with Jeff Procise, founder of Wintellect, an Azure-focused software consulting company. Expect to learn about your next LLM MVP on Azure, the societal impact of AI, the bifurcation of model size, and much more!<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br /><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">3eaf0058-6a9d-47b5-86ca-ca7fc79af5c1</guid><pubDate>Thu, 03 Aug 2023 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842198/stream.mp3" length="108156082" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle> In today's episode, we speak with Jeff Procise, founder of Wintellect, an Azure-focused software consulting company. Expect to learn about your next LLM MVP on Azure, the societal impact of AI, the bifurcation of model size, and much more!
Sponsors
-...</itunes:subtitle><itunes:summary><![CDATA[ In today's episode, we speak with Jeff Procise, founder of Wintellect, an Azure-focused software consulting company. Expect to learn about your next LLM MVP on Azure, the societal impact of AI, the bifurcation of model size, and much more!<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br /><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>4454</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>How to Create Team Utils - ML 122</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/how-to-create-team-utils-ml-122</link><description><![CDATA[Have you ever written code and thought, "hmm, I wonder if my teammates would use this." Well in today's episode, we show you how to go from concept to production-level code. Spoiler alert: you're going to have to write tests!<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">d87cb4a6-481e-47de-b6c1-41ca01137595</guid><pubDate>Fri, 21 Jul 2023 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842222/stream.mp3" length="93792287" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Have you ever written code and thought, "hmm, I wonder if my teammates would use this." Well in today's episode, we show you how to go from concept to production-level code. Spoiler alert: you're going to have to write tests!
Sponsors
-...</itunes:subtitle><itunes:summary><![CDATA[Have you ever written code and thought, "hmm, I wonder if my teammates would use this." Well in today's episode, we show you how to go from concept to production-level code. Spoiler alert: you're going to have to write tests!<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3856</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>How to Get Sh*t Done - ML 121</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/how-to-get-sh-t-done-ml-121</link><description><![CDATA[In today's episode, Michael and Ben break down some surefire methods to be successful. If you follow these tips, you are guaranteed to co-found the next Google. Some topics include time boxing exciting work, tips for growing documentation, pitching to diverse crowds, and much more!<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">48678294-7597-4ac9-ba1d-f9419970b314</guid><pubDate>Thu, 13 Jul 2023 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842211/stream.mp3" length="85001979" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>In today's episode, Michael and Ben break down some surefire methods to be successful. If you follow these tips, you are guaranteed to co-found the next Google. Some topics include time boxing exciting work, tips for growing documentation, pitching to...</itunes:subtitle><itunes:summary><![CDATA[In today's episode, Michael and Ben break down some surefire methods to be successful. If you follow these tips, you are guaranteed to co-found the next Google. Some topics include time boxing exciting work, tips for growing documentation, pitching to diverse crowds, and much more!<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3490</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>ML at Netflix and How to Learn Deeply - ML 120</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/ml-at-netflix-and-how-to-learn-deeply-ml-120</link><description><![CDATA[In today's episode, we speak with Netflix ML engineer Amir Ziai. Expect to learn about building ML tools for stakeholders, the pros and cons of a Netflix-like culture, and Amir's strategy for learning. <br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Socials<ul><li><a href="https://www.linkedin.com/in/amirziai/" target="_blank" rel="noreferrer noopener">LinkedIn: Amir Ziai</a></li></ul> <br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">8f95400d-b988-46a1-ba77-28d1e39b7a33</guid><pubDate>Fri, 30 Jun 2023 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842136/stream.mp3" length="92525871" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>In today's episode, we speak with Netflix ML engineer Amir Ziai. Expect to learn about building ML tools for stakeholders, the pros and cons of a Netflix-like culture, and Amir's strategy for learning. 
Sponsors
- https://topenddevs.com/resume
-...</itunes:subtitle><itunes:summary><![CDATA[In today's episode, we speak with Netflix ML engineer Amir Ziai. Expect to learn about building ML tools for stakeholders, the pros and cons of a Netflix-like culture, and Amir's strategy for learning. <br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Socials<ul><li><a href="https://www.linkedin.com/in/amirziai/" target="_blank" rel="noreferrer noopener">LinkedIn: Amir Ziai</a></li></ul> <br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3803</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>How to get Promoted - ML 119</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/how-to-get-promoted-ml-119</link><description><![CDATA[In today's episode, we dive into Ben's experience in navigating the career ladder. Expect to learn why your leveling matrix is probably wrong and how you should actually spend your time to maximize career growth.<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Socials<ul><li><a href="https://www.linkedin.com/in/-michael-berk/" target="_blank" rel="noreferrer noopener">LinkedIn: Michael Berk</a></li><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn: Benjamin Wilson</a></li></ul> <br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">abd7efd3-fa47-4080-8c03-25036445650d</guid><pubDate>Fri, 23 Jun 2023 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842162/stream.mp3" length="71334086" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>In today's episode, we dive into Ben's experience in navigating the career ladder. Expect to learn why your leveling matrix is probably wrong and how you should actually spend your time to maximize career growth.
Sponsors
-...</itunes:subtitle><itunes:summary><![CDATA[In today's episode, we dive into Ben's experience in navigating the career ladder. Expect to learn why your leveling matrix is probably wrong and how you should actually spend your time to maximize career growth.<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Socials<ul><li><a href="https://www.linkedin.com/in/-michael-berk/" target="_blank" rel="noreferrer noopener">LinkedIn: Michael Berk</a></li><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn: Benjamin Wilson</a></li></ul> <br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2920</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>How does Search Work? - ML 118</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/how-does-search-work-ml-118</link><description><![CDATA[In today's episode, we speak with Roman Grebennikov, an expert in ranking algorithms. Expect to learn about his open source project, the difference between retrieval and ranking, and much more!<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Socials<ul><li><a href="https://www.linkedin.com/in/romangrebennikov/" target="_blank" rel="noreferrer noopener">Roman Grebennikov</a></li></ul> <br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">b955227a-52a3-4bcd-a790-c3a140978044</guid><pubDate>Thu, 15 Jun 2023 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842161/stream.mp3" length="77142047" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>In today's episode, we speak with Roman Grebennikov, an expert in ranking algorithms. Expect to learn about his open source project, the difference between retrieval and ranking, and much more!
Sponsors
- https://topenddevs.com/resume
-...</itunes:subtitle><itunes:summary><![CDATA[In today's episode, we speak with Roman Grebennikov, an expert in ranking algorithms. Expect to learn about his open source project, the difference between retrieval and ranking, and much more!<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Socials<ul><li><a href="https://www.linkedin.com/in/romangrebennikov/" target="_blank" rel="noreferrer noopener">Roman Grebennikov</a></li></ul> <br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3162</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>How to Learn a New Tool - ML 117</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/how-to-learn-a-new-tool-ml-117</link><description><![CDATA[In today's episode, we walk through Ben's experience creating the Hugging Face transformer flavor for ML flow. During this case study we highlight the structure he uses to learn new technologies and cover some practical tips along the way.<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">fc824e4d-b722-420d-8972-4a8db50aad5b</guid><pubDate>Thu, 08 Jun 2023 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842128/stream.mp3" length="84822047" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>In today's episode, we walk through Ben's experience creating the Hugging Face transformer flavor for ML flow. During this case study we highlight the structure he uses to learn new technologies and cover some practical tips along the way.
Sponsors
-...</itunes:subtitle><itunes:summary><![CDATA[In today's episode, we walk through Ben's experience creating the Hugging Face transformer flavor for ML flow. During this case study we highlight the structure he uses to learn new technologies and cover some practical tips along the way.<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3482</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>The Innovation Cycle of AI - ML 116</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/the-innovation-cycle-of-ai-ml-116</link><description><![CDATA[Today we speak with ex-Googler, Praveen Paritosh. He has over 20 years of experience as a research scientist and has worked on some of AI's most impactful projects. Expect to learn about scientific innovation, the importance of data, and the next wave of AI (spoiler, it's not LLMs).<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Socials<ul><li><a href="https://www.linkedin.com/in/pkparitosh/" target="_blank" rel="noreferrer noopener">LinkedIn: Praveen Paritosh</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">a1c7afde-f684-42e0-b29e-3a260952bedc</guid><pubDate>Thu, 25 May 2023 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842160/stream.mp3" length="101550028" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Today we speak with ex-Googler, Praveen Paritosh. He has over 20 years of experience as a research scientist and has worked on some of AI's most impactful projects. Expect to learn about scientific innovation, the importance of data, and the next wave...</itunes:subtitle><itunes:summary><![CDATA[Today we speak with ex-Googler, Praveen Paritosh. He has over 20 years of experience as a research scientist and has worked on some of AI's most impactful projects. Expect to learn about scientific innovation, the importance of data, and the next wave of AI (spoiler, it's not LLMs).<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Socials<ul><li><a href="https://www.linkedin.com/in/pkparitosh/" target="_blank" rel="noreferrer noopener">LinkedIn: Praveen Paritosh</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>4179</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>All Things Machine Learning - ML 115</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/all-things-machine-learning-ml-115</link><description><![CDATA[Host from the Ruby Rogues podcast, Dave Kimura joins Ben and Michael for this week's crossover episode. They discuss applying machine learning, deep learning, and algorithm. They also dive into how artificial intelligence changes the future.<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Socials<ul><li><a href="https://www.linkedin.com/in/kobaltz/" target="_blank" rel="noreferrer noopener">LinkedIn: Dave Kimura</a></li></ul><br /><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">480e903c-2a07-483f-81c8-3b320eb8b5bb</guid><pubDate>Thu, 11 May 2023 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842177/stream.mp3" length="98718145" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Host from the Ruby Rogues podcast, Dave Kimura joins Ben and Michael for this week's crossover episode. They discuss applying machine learning, deep learning, and algorithm. They also dive into how artificial intelligence changes the future.
Sponsors...</itunes:subtitle><itunes:summary><![CDATA[Host from the Ruby Rogues podcast, Dave Kimura joins Ben and Michael for this week's crossover episode. They discuss applying machine learning, deep learning, and algorithm. They also dive into how artificial intelligence changes the future.<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Socials<ul><li><a href="https://www.linkedin.com/in/kobaltz/" target="_blank" rel="noreferrer noopener">LinkedIn: Dave Kimura</a></li></ul><br /><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>4061</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>How to Transition from Academics to Industry - ML 114</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/how-to-transition-from-academics-to-industry-ml-114</link><description><![CDATA[Today we speak with Noah Silbert, a former data scientist at Netflix and current data scientist at Tubi. Expect to learn about company size can impact your role and day-to-day work as a data scientist. We also cover Noah's experience moving from being a professor to handling the scale and complexity of the tech industry. Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Socials<ul><li><a href="https://www.linkedin.com/in/nhsilbert/" target="_blank" rel="noreferrer noopener">LinkedIn: Noah Silbert</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">78fd4ce7-5574-48db-9b3e-4259f825cb9f</guid><pubDate>Fri, 05 May 2023 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842209/stream.mp3" length="83334321" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Today we speak with Noah Silbert, a former data scientist at Netflix and current data scientist at Tubi. Expect to learn about company size can impact your role and day-to-day work as a data scientist. We also cover Noah's experience moving from being...</itunes:subtitle><itunes:summary><![CDATA[Today we speak with Noah Silbert, a former data scientist at Netflix and current data scientist at Tubi. Expect to learn about company size can impact your role and day-to-day work as a data scientist. We also cover Noah's experience moving from being a professor to handling the scale and complexity of the tech industry. Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Socials<ul><li><a href="https://www.linkedin.com/in/nhsilbert/" target="_blank" rel="noreferrer noopener">LinkedIn: Noah Silbert</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3420</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>How to Make your Projects Succeed - ML 113</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/how-to-make-your-projects-succeed-ml-113</link><description><![CDATA[In today's episode, we walk through a project that Michael is currently working on. Expect to learn about scoping a project, getting feedback, and ensuring value. <br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">ce02abb3-0745-491e-bf1a-0263bc2a56a4</guid><pubDate>Thu, 27 Apr 2023 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842137/stream.mp3" length="93762194" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>In today's episode, we walk through a project that Michael is currently working on. Expect to learn about scoping a project, getting feedback, and ensuring value. 
Sponsors
- https://topenddevs.com/resume
- https://topenddevs.com/book-club
-...</itunes:subtitle><itunes:summary><![CDATA[In today's episode, we walk through a project that Michael is currently working on. Expect to learn about scoping a project, getting feedback, and ensuring value. <br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3855</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Jason Weimann - Learn Video Game Development with Chuck - BONUS</title><link>https://topenddevs.com/podcasts/javascript-jabber/episodes/jason-weimann-learn-video-game-development-with-chuck-bonus</link><description><![CDATA[Jason Weimann is a Developer and Instructor. He returns to the show with Chuck to talk about video game creation. He shares his experiences as a developer and dives into his courses wherein he gives beginners and aspiring developers a walk-through of the world of creating games. <br />Links<br /><ul><li><a href="https://gamedevbeginner.com/courses/" target="_blank" rel="noreferrer noopener">Game development courses &amp; tutorials</a></li><li><a href="https://game.courses/programmer/" target="_blank" rel="noreferrer noopener">Programmer Course – game.courses</a></li></ul><br />Socials<br /><ul><li><a href="https://twitter.com/jweimann?lang=en" target="_blank" rel="noreferrer noopener">Twitter: @jweimann</a></li></ul><br /><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">66b2ae2a-93d5-4ae1-a11c-d259c886e446</guid><pubDate>Fri, 21 Apr 2023 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842098/stream.mp3" length="72325010" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Jason Weimann is a Developer and Instructor. He returns to the show with Chuck to talk about video game creation. He shares his experiences as a developer and dives into his courses wherein he gives beginners and aspiring developers a walk-through of...</itunes:subtitle><itunes:summary><![CDATA[Jason Weimann is a Developer and Instructor. He returns to the show with Chuck to talk about video game creation. He shares his experiences as a developer and dives into his courses wherein he gives beginners and aspiring developers a walk-through of the world of creating games. <br />Links<br /><ul><li><a href="https://gamedevbeginner.com/courses/" target="_blank" rel="noreferrer noopener">Game development courses &amp; tutorials</a></li><li><a href="https://game.courses/programmer/" target="_blank" rel="noreferrer noopener">Programmer Course – game.courses</a></li></ul><br />Socials<br /><ul><li><a href="https://twitter.com/jweimann?lang=en" target="_blank" rel="noreferrer noopener">Twitter: @jweimann</a></li></ul><br /><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3013</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>How to Think Like a Principal Architect - ML 112</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/how-to-think-like-a-principal-architect-ml-112</link><description><![CDATA[Today, we do a deep dive into Ben's background. We cover his career trajectory and, more importantly, how nature and nurture have impacted the way he thinks.<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">b69fa298-b7ed-4909-b706-fe66bef59ce1</guid><pubDate>Thu, 13 Apr 2023 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842200/stream.mp3" length="92670067" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Today, we do a deep dive into Ben's background. We cover his career trajectory and, more importantly, how nature and nurture have impacted the way he thinks.
Sponsors
- https://topenddevs.com/resume
- https://topenddevs.com/book-club
-...</itunes:subtitle><itunes:summary><![CDATA[Today, we do a deep dive into Ben's background. We cover his career trajectory and, more importantly, how nature and nurture have impacted the way he thinks.<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3809</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>How Do You Stop Hating Your Job? - BONUS</title><link>https://topenddevs.com/podcasts/javascript-jabber/episodes/how-do-you-stop-hating-your-job-bonus</link><description><![CDATA[Are you dissatisfied with your job? Sam Feeney helps organizations improve employee engagement, increase retention, and reinvent hiring while helping individuals (re)discover career satisfaction in their current roles. He joins the show alongside Chuck Wood to tackle altering the way you perceive your job and talk about Career satisfaction.<br />On YouTube<a href="https://youtu.be/nnXpSGwIOYM" target="_blank" rel="noreferrer noopener">How Do You Stop Hating Your Job? - BONUS</a><br />Socials<br /><ul><li><a href="https://www.linkedin.com/in/samfeeney/" target="_blank" rel="noreferrer noopener">LinkedIn: Sam Feeney</a></li></ul><br /><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">f8ebf818-cf5e-4d5e-ae2a-a35705fe15b2</guid><pubDate>Thu, 13 Apr 2023 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842114/stream.mp3" length="64433846" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Are you dissatisfied with your job? Sam Feeney helps organizations improve employee engagement, increase retention, and reinvent hiring while helping individuals (re)discover career satisfaction in their current roles. He joins the show alongside...</itunes:subtitle><itunes:summary><![CDATA[Are you dissatisfied with your job? Sam Feeney helps organizations improve employee engagement, increase retention, and reinvent hiring while helping individuals (re)discover career satisfaction in their current roles. He joins the show alongside Chuck Wood to tackle altering the way you perceive your job and talk about Career satisfaction.<br />On YouTube<a href="https://youtu.be/nnXpSGwIOYM" target="_blank" rel="noreferrer noopener">How Do You Stop Hating Your Job? - BONUS</a><br />Socials<br /><ul><li><a href="https://www.linkedin.com/in/samfeeney/" target="_blank" rel="noreferrer noopener">LinkedIn: Sam Feeney</a></li></ul><br /><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2684</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>How to Transition from Software Engineer to ML Engineer - ML 111</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/how-to-transition-from-software-engineer-to-ml-engineer-ml-111</link><description><![CDATA[Today we speak with a software engineer who is interested in becoming an ML engineer. Expect to learn about ML roles that are most attainable based on a strong software engineering skill set. We also cover some tangible strategies you can leverage to make the transition.<br />On YouTube<a href="https://youtu.be/IaKddXH0qAw" target="_blank" rel="noreferrer noopener"> How to Transition from Software Engineer to ML Engineer - ML 111</a><br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">99a97610-733f-44cf-af2f-7b32b39398d9</guid><pubDate>Fri, 07 Apr 2023 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842165/stream.mp3" length="80898037" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Today we speak with a software engineer who is interested in becoming an ML engineer. Expect to learn about ML roles that are most attainable based on a strong software engineering skill set. We also cover some tangible strategies you can leverage to...</itunes:subtitle><itunes:summary><![CDATA[Today we speak with a software engineer who is interested in becoming an ML engineer. Expect to learn about ML roles that are most attainable based on a strong software engineering skill set. We also cover some tangible strategies you can leverage to make the transition.<br />On YouTube<a href="https://youtu.be/IaKddXH0qAw" target="_blank" rel="noreferrer noopener"> How to Transition from Software Engineer to ML Engineer - ML 111</a><br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3319</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Machine Learning for Meeting Notes - ML 110</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/machine-learning-for-meeting-notes-ml-110</link><description><![CDATA[Today we look at an applied use case for ML: developing intelligent meeting notes. Expect to learn about LLMs, AI assistants, and how to develop an AI startup.<br />On YouTube<a href="https://youtu.be/5dchFSA8LrU" target="_blank" rel="noreferrer noopener">Machine Learning for Meeting Notes - ML 110</a><br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Socials<ul><li><a href="https://www.linkedin.com/in/akoren/" target="_blank" rel="noreferrer noopener">LinkedIn: Artem Koren</a></li></ul> <br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">49427c0d-b99e-42a4-8863-b77b224d7b41</guid><pubDate>Thu, 30 Mar 2023 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842149/stream.mp3" length="93713920" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Today we look at an applied use case for ML: developing intelligent meeting notes. Expect to learn about LLMs, AI assistants, and how to develop an AI startup.
On YouTubehttps://youtu.be/5dchFSA8LrU
Sponsors
- https://topenddevs.com/resume
-...</itunes:subtitle><itunes:summary><![CDATA[Today we look at an applied use case for ML: developing intelligent meeting notes. Expect to learn about LLMs, AI assistants, and how to develop an AI startup.<br />On YouTube<a href="https://youtu.be/5dchFSA8LrU" target="_blank" rel="noreferrer noopener">Machine Learning for Meeting Notes - ML 110</a><br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Socials<ul><li><a href="https://www.linkedin.com/in/akoren/" target="_blank" rel="noreferrer noopener">LinkedIn: Artem Koren</a></li></ul> <br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3853</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Model Serving at Databricks - ML 109</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/model-serving-at-databricks-ml-109</link><description><![CDATA[Today we deep dive into the mind of two brilliant Databricks software engineers. Their primary project was building the model serving feature, but expect to learn about ML side projects, traits of successful software engineers, and much more!<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Social<ul><li><a href="https://www.linkedin.com/in/ankmathur96/" target="_blank" rel="noreferrer noopener">LinkedIn: Ankit Mathur</a></li><li><a href="https://www.linkedin.com/in/sueannhong/" target="_blank" rel="noreferrer noopener">LinkedIn: Sue Ann Hong</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">faba236d-7e16-4317-a6e2-783ea11b0072</guid><pubDate>Mon, 27 Mar 2023 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842184/stream.mp3" length="79506233" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Today we deep dive into the mind of two brilliant Databricks software engineers. Their primary project was building the model serving feature, but expect to learn about ML side projects, traits of successful software engineers, and much more!
Sponsors...</itunes:subtitle><itunes:summary><![CDATA[Today we deep dive into the mind of two brilliant Databricks software engineers. Their primary project was building the model serving feature, but expect to learn about ML side projects, traits of successful software engineers, and much more!<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Social<ul><li><a href="https://www.linkedin.com/in/ankmathur96/" target="_blank" rel="noreferrer noopener">LinkedIn: Ankit Mathur</a></li><li><a href="https://www.linkedin.com/in/sueannhong/" target="_blank" rel="noreferrer noopener">LinkedIn: Sue Ann Hong</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3261</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Where ML and DevOps Meet - ML 108</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/where-ml-and-devops-meet-ml-108</link><description><![CDATA[Hosts of the Adventures in DevOps podcast, Jillian Rowe and Jonathan Hall, join Ben and Michael on this week's episode crossover. They talk about the intersection of ML and DevOps. They dive into the concepts and differences between ML and DevOps. Additionally, they talk about how ML ideas may be applied to DevOps principles and vice versa.<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">7b078343-d894-43c4-b590-cc8350ed9461</guid><pubDate>Fri, 17 Mar 2023 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842201/stream.mp3" length="95165910" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Hosts of the Adventures in DevOps podcast, Jillian Rowe and Jonathan Hall, join Ben and Michael on this week's episode crossover. They talk about the intersection of ML and DevOps. They dive into the concepts and differences between ML and DevOps....</itunes:subtitle><itunes:summary><![CDATA[Hosts of the Adventures in DevOps podcast, Jillian Rowe and Jonathan Hall, join Ben and Michael on this week's episode crossover. They talk about the intersection of ML and DevOps. They dive into the concepts and differences between ML and DevOps. Additionally, they talk about how ML ideas may be applied to DevOps principles and vice versa.<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3913</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>How Does ChatGPT Work? - ML 107</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/how-does-chatgpt-work-ml-107</link><description><![CDATA[ChatGPT is the most robust free chatbot. It can answer questions, write code, and summarize text. Today we will talk about the creation of ChatGPT, its implications for society, and how the model actually works. <br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">69b1824d-e978-44be-8097-b0c65946e205</guid><pubDate>Fri, 10 Mar 2023 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842155/stream.mp3" length="70853851" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>ChatGPT is the most robust free chatbot. It can answer questions, write code, and summarize text. Today we will talk about the creation of ChatGPT, its implications for society, and how the model actually works. 
Sponsors
-...</itunes:subtitle><itunes:summary><![CDATA[ChatGPT is the most robust free chatbot. It can answer questions, write code, and summarize text. Today we will talk about the creation of ChatGPT, its implications for society, and how the model actually works. <br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2900</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Machine Learning for Movie Scripts - ML 106</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/machine-learning-for-movie-scripts-ml-106</link><description><![CDATA[Today we look at an applied use case for ML: parsing movie scripts. Expect to learn about bringing ML to new industries, the future of Large Language Models (LLM), and automation in the movie industry.<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Links<ul><li><a href="https://www.linkedin.com/in/ruslan138/" target="_blank" rel="noreferrer noopener">LinkedIn: Ruslan Khamidullin</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">3d2f3661-b008-4876-8a9f-209318c51eab</guid><pubDate>Fri, 03 Mar 2023 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842119/stream.mp3" length="66929841" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Today we look at an applied use case for ML: parsing movie scripts. Expect to learn about bringing ML to new industries, the future of Large Language Models (LLM), and automation in the movie industry.
Sponsors
- https://topenddevs.com/resume
-...</itunes:subtitle><itunes:summary><![CDATA[Today we look at an applied use case for ML: parsing movie scripts. Expect to learn about bringing ML to new industries, the future of Large Language Models (LLM), and automation in the movie industry.<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Links<ul><li><a href="https://www.linkedin.com/in/ruslan138/" target="_blank" rel="noreferrer noopener">LinkedIn: Ruslan Khamidullin</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2737</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>ChatGPT and the Divine - ML 105</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/chatgpt-and-the-divine-ml-105</link><description><![CDATA["Any sufficiently advanced technology is indistinguishable from magic." Today, Michael and Ben talk about the broad implications of ChatGPT and similar algorithms. Expect to learn about...<br /><ul><li>The difference between AI and ML</li><li>General Artificial Intelligence</li><li>Some personal opinions about the overlap between "the divine" and AI</li></ul><br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">f9350dc6-7612-44b8-b4e6-fc598a1dd3ea</guid><pubDate>Thu, 23 Feb 2023 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842126/stream.mp3" length="75533949" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>"Any sufficiently advanced technology is indistinguishable from magic." Today, Michael and Ben talk about the broad implications of ChatGPT and similar algorithms. Expect to learn about...

- The difference between AI and ML
- General Artificial...</itunes:subtitle><itunes:summary><![CDATA["Any sufficiently advanced technology is indistinguishable from magic." Today, Michael and Ben talk about the broad implications of ChatGPT and similar algorithms. Expect to learn about...<br /><ul><li>The difference between AI and ML</li><li>General Artificial Intelligence</li><li>Some personal opinions about the overlap between "the divine" and AI</li></ul><br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3095</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Deep Learning for Tabular and Time Series Data - ML 104</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/deep-learning-for-tabular-and-time-series-data-ml-104</link><description><![CDATA[Today we speak with a staff data scientist at Walmart who specializes in forecasting. He has built an open-source tool that allows you to leverage tabular data in PyTorch. He also has written a book on time series forecasting with deep learning.<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Links<ul><li><a href="https://arxiv.org/abs/2207.08548" target="_blank" rel="noreferrer noopener">[2207.08548] GATE: Gated Additive Tree Ensemble for Tabular Classification and Regression</a></li><li><a href="https://amzn.to/3vwPTYU" target="_blank" rel="noreferrer noopener">Modern Time Series Forecasting with Python: Explore industry-ready time series forecasting using modern machine learning and deep learning</a></li><li><a href="https://www.linkedin.com/in/manujosephv/" target="_blank" rel="noreferrer noopener">LinkedIn: Manu Joseph</a></li><li><a href="https://twitter.com/manujosephv" target="_blank" rel="noreferrer noopener">Twitter: @manujosephv</a></li><li><a href="https://github.com/manujosephv" target="_blank" rel="noreferrer noopener">GitHub: manujosephv</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">270c2df9-394a-41e4-bd74-ae5091bdb8df</guid><pubDate>Thu, 16 Feb 2023 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842157/stream.mp3" length="99990204" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Today we speak with a staff data scientist at Walmart who specializes in forecasting. He has built an open-source tool that allows you to leverage tabular data in PyTorch. He also has written a book on time series forecasting with deep learning....</itunes:subtitle><itunes:summary><![CDATA[Today we speak with a staff data scientist at Walmart who specializes in forecasting. He has built an open-source tool that allows you to leverage tabular data in PyTorch. He also has written a book on time series forecasting with deep learning.<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Links<ul><li><a href="https://arxiv.org/abs/2207.08548" target="_blank" rel="noreferrer noopener">[2207.08548] GATE: Gated Additive Tree Ensemble for Tabular Classification and Regression</a></li><li><a href="https://amzn.to/3vwPTYU" target="_blank" rel="noreferrer noopener">Modern Time Series Forecasting with Python: Explore industry-ready time series forecasting using modern machine learning and deep learning</a></li><li><a href="https://www.linkedin.com/in/manujosephv/" target="_blank" rel="noreferrer noopener">LinkedIn: Manu Joseph</a></li><li><a href="https://twitter.com/manujosephv" target="_blank" rel="noreferrer noopener">Twitter: @manujosephv</a></li><li><a href="https://github.com/manujosephv" target="_blank" rel="noreferrer noopener">GitHub: manujosephv</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>4114</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Notebooks vs. IDEs With Fabian Jakobs - ML 103</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/notebooks-vs-ides-with-fabian-jakobs-ml-103</link><description><![CDATA[How do you develop ML code? Do you use notebooks or do you use IDEs? In this episode, we get some practical advice from both Ben and our guest on leveraging software principles to write better code in both an IDE and notebook environment. We'll also learn about a cool new Databricks feature that will help you run ML code from an IDE.<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Links<ul><li> <a href="https://docs.databricks.com/dev-tools/vscode-ext.html" target="_blank" rel="noreferrer noopener">Databricks extension for Visual Studio Code | Databricks on AWS</a></li><li><a href="https://www.linkedin.com/in/fabianjakobs/" target="_blank" rel="noreferrer noopener">LinkedIn: Fabian Jakobs</a></li><li><a href="https://www.linkedin.com/company/databricks/" target="_blank" rel="noreferrer noopener">LinkedIn: Databricks</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">bed12b84-9b35-4030-8f02-a16d22a7e14a</guid><pubDate>Thu, 09 Feb 2023 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842130/stream.mp3" length="66867774" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>How do you develop ML code? Do you use notebooks or do you use IDEs? In this episode, we get some practical advice from both Ben and our guest on leveraging software principles to write better code in both an IDE and notebook environment. We'll also...</itunes:subtitle><itunes:summary><![CDATA[How do you develop ML code? Do you use notebooks or do you use IDEs? In this episode, we get some practical advice from both Ben and our guest on leveraging software principles to write better code in both an IDE and notebook environment. We'll also learn about a cool new Databricks feature that will help you run ML code from an IDE.<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Links<ul><li> <a href="https://docs.databricks.com/dev-tools/vscode-ext.html" target="_blank" rel="noreferrer noopener">Databricks extension for Visual Studio Code | Databricks on AWS</a></li><li><a href="https://www.linkedin.com/in/fabianjakobs/" target="_blank" rel="noreferrer noopener">LinkedIn: Fabian Jakobs</a></li><li><a href="https://www.linkedin.com/company/databricks/" target="_blank" rel="noreferrer noopener">LinkedIn: Databricks</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2734</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>How to think about Optimization - ML 102</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/how-to-think-about-optimization-ml-102</link><description><![CDATA[In this week's episode, we meet with Micheal McCourt, the head of engineering at SigOpt. He is an industry expert on optimization algorithms, so expect to learn about constraint-active search, SigOpt's new open-source optimizer, and how to run an engineering team.<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Links<ul><li><a href="https://sigopt.com/team/michael-mccourt/" target="_blank" rel="noreferrer noopener">Michael McCourt | SigOpt</a></li><li><a href="https://www.linkedin.com/in/michael-mccourt-6347b11a4/" target="_blank" rel="noreferrer noopener">LinkedIn: Michael McCourt</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">570126a3-1297-4aa9-8905-f8de71e85ae5</guid><pubDate>Fri, 03 Feb 2023 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842121/stream.mp3" length="73302047" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>In this week's episode, we meet with Micheal McCourt, the head of engineering at SigOpt. He is an industry expert on optimization algorithms, so expect to learn about constraint-active search, SigOpt's new open-source optimizer, and how to run an...</itunes:subtitle><itunes:summary><![CDATA[In this week's episode, we meet with Micheal McCourt, the head of engineering at SigOpt. He is an industry expert on optimization algorithms, so expect to learn about constraint-active search, SigOpt's new open-source optimizer, and how to run an engineering team.<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Links<ul><li><a href="https://sigopt.com/team/michael-mccourt/" target="_blank" rel="noreferrer noopener">Michael McCourt | SigOpt</a></li><li><a href="https://www.linkedin.com/in/michael-mccourt-6347b11a4/" target="_blank" rel="noreferrer noopener">LinkedIn: Michael McCourt</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3002</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Protecting Your ML From Phishing And Hackers - ML 101</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/protecting-your-ml-from-phishing-and-hackers-ml-101</link><description><![CDATA[Have you ever wondered how to secure a cloud deployment? Well, today we talk to the president at a cloud security company about personal security, detecting malicious actors, startup trends, and much more!<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting with Clean Architecture by Robert C. Martin</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Links<ul><li><a href="https://www.linkedin.com/in/kevindkorte/" target="_blank" rel="noreferrer noopener">LinkedIn: Kevin Dominik Korte</a></li><li><a href="https://twitter.com/KeDKorte" target="_blank" rel="noreferrer noopener">Twitter: @KeDKorte</a></li></ul> <br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">576b75f9-abcf-479b-84d8-1795880ccc2d</guid><pubDate>Fri, 27 Jan 2023 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842127/stream.mp3" length="61457920" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Have you ever wondered how to secure a cloud deployment? Well, today we talk to the president at a cloud security company about personal security, detecting malicious actors, startup trends, and much more!
Sponsors
- https://topenddevs.com/resume
-...</itunes:subtitle><itunes:summary><![CDATA[Have you ever wondered how to secure a cloud deployment? Well, today we talk to the president at a cloud security company about personal security, detecting malicious actors, startup trends, and much more!<br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting with Clean Architecture by Robert C. Martin</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Links<ul><li><a href="https://www.linkedin.com/in/kevindkorte/" target="_blank" rel="noreferrer noopener">LinkedIn: Kevin Dominik Korte</a></li><li><a href="https://twitter.com/KeDKorte" target="_blank" rel="noreferrer noopener">Twitter: @KeDKorte</a></li></ul> <br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2509</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>The Disruptive Power of Artificial Intelligence - ML 100</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/the-disruptive-power-of-artificial-intelligence-ml-100</link><description><![CDATA[Have you ever wondered about the most promising industries in Machine Learning? Today we will learn from Avi Goldfarb, the chair of AI at the University of Toronto, about...<br /><ul><li>The most promising AI industries</li><li>Potential problems with powerful AI</li><li>The economics behind innovation</li></ul><br />On YouTube<a href="https://youtu.be/haCv-oXOuko" target="_blank" rel="noreferrer noopener">The Disruptive Power of Artificial Intelligence - ML 100</a><br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting with Clean Architecture by Robert C. Martin</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Links<ul><li><a href="https://mybook.to/powerandprediction" target="_blank" rel="noreferrer noopener">Power and Prediction: The Disruptive Economics of Artificial Intelligence</a></li><li><a href="http://www-2.rotman.utoronto.ca/~agoldfarb/" target="_blank" rel="noreferrer noopener">Avi Goldfarb</a></li><li><a href="https://www.linkedin.com/in/avi-goldfarb-46a7473/" target="_blank" rel="noreferrer noopener">LinkedIn: Avi Goldfarb </a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">e9735424-0824-42d4-8953-f6a202e4e87c</guid><pubDate>Thu, 19 Jan 2023 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842131/stream.mp3" length="88865802" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Have you ever wondered about the most promising industries in Machine Learning? Today we will learn from Avi Goldfarb, the chair of AI at the University of Toronto, about...

- The most promising AI industries
- Potential problems with powerful AI
-...</itunes:subtitle><itunes:summary><![CDATA[Have you ever wondered about the most promising industries in Machine Learning? Today we will learn from Avi Goldfarb, the chair of AI at the University of Toronto, about...<br /><ul><li>The most promising AI industries</li><li>Potential problems with powerful AI</li><li>The economics behind innovation</li></ul><br />On YouTube<a href="https://youtu.be/haCv-oXOuko" target="_blank" rel="noreferrer noopener">The Disruptive Power of Artificial Intelligence - ML 100</a><br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting with Clean Architecture by Robert C. Martin</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Links<ul><li><a href="https://mybook.to/powerandprediction" target="_blank" rel="noreferrer noopener">Power and Prediction: The Disruptive Economics of Artificial Intelligence</a></li><li><a href="http://www-2.rotman.utoronto.ca/~agoldfarb/" target="_blank" rel="noreferrer noopener">Avi Goldfarb</a></li><li><a href="https://www.linkedin.com/in/avi-goldfarb-46a7473/" target="_blank" rel="noreferrer noopener">LinkedIn: Avi Goldfarb </a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3651</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>A History Of ML And How Low Code Tooling Accelerates Solution Development - ML 099</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/a-history-of-ml-and-how-low-code-tooling-accelerates-solution-development-ml-099</link><description><![CDATA[In this episode, Ben talks with Rosaria Silipo, a Software Engineer and Developer Relations advocate at Knime. They discuss the benefits of low-code ML, delve into the history of ML development work as it has changed over the past few decades, and discuss a few stories about the importance of pursuing simplicity in implementations.<br />On YouTube<a href="https://youtu.be/OrVLgzGQeUA" target="_blank" rel="noreferrer noopener">A History Of ML And How Low Code Tooling Accelerates Solution Development - ML 099</a><br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting with Clean Architecture by Robert C. Martin</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Links<ul><li><a href="https://www.kdnuggets.com/2022/09/7-things-didnt-know-could-low-code-tool.html" target="_blank" rel="noreferrer noopener">7 Things You Didn’t Know You Could do with a Low Code Tool</a></li><li><a href="https://www.linkedin.com/in/rosaria/" target="_blank" rel="noreferrer noopener">LinkedIn: Rosaria Silipo</a></li><li><a href="https://twitter.com/DMR_Rosaria" target="_blank" rel="noreferrer noopener">Twitter: @DMR_Rosaria</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">683a4a34-ff9d-4e1e-9a6b-9a1662a9c26c</guid><pubDate>Fri, 06 Jan 2023 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842190/stream.mp3" length="105329841" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>In this episode, Ben talks with Rosaria Silipo, a Software Engineer and Developer Relations advocate at Knime. They discuss the benefits of low-code ML, delve into the history of ML development work as it has changed over the past few decades, and...</itunes:subtitle><itunes:summary><![CDATA[In this episode, Ben talks with Rosaria Silipo, a Software Engineer and Developer Relations advocate at Knime. They discuss the benefits of low-code ML, delve into the history of ML development work as it has changed over the past few decades, and discuss a few stories about the importance of pursuing simplicity in implementations.<br />On YouTube<a href="https://youtu.be/OrVLgzGQeUA" target="_blank" rel="noreferrer noopener">A History Of ML And How Low Code Tooling Accelerates Solution Development - ML 099</a><br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting with Clean Architecture by Robert C. Martin</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Links<ul><li><a href="https://www.kdnuggets.com/2022/09/7-things-didnt-know-could-low-code-tool.html" target="_blank" rel="noreferrer noopener">7 Things You Didn’t Know You Could do with a Low Code Tool</a></li><li><a href="https://www.linkedin.com/in/rosaria/" target="_blank" rel="noreferrer noopener">LinkedIn: Rosaria Silipo</a></li><li><a href="https://twitter.com/DMR_Rosaria" target="_blank" rel="noreferrer noopener">Twitter: @DMR_Rosaria</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>4337</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Moving from Dev Notebooks to Production Code - ML 098</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/moving-from-dev-notebooks-to-production-code-ml-098</link><description><![CDATA[In this week's episode we meet with Mike Arov, committer to the MLOps tool framework lineapy. From the benefits of notebooks as development tooling for Data Science work to the complex refactoring needed to convert them to production-capable code bases, our conversation dives deep into the generally under-represented bridge tooling of code base conversions.<br />On YouTube<a href="https://youtu.be/e-tDYrkY6x4" target="_blank" rel="noreferrer noopener">Moving from Dev Notebooks to Production Code - ML 098</a><br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting with Clean Architecture by Robert C. Martin</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Links<ul><li><a href="https://www.kdnuggets.com/2022/08/way-bridge-mlops-tools-gap.html" target="_blank" rel="noreferrer noopener">Is There a Way to Bridge the MLOps Tools Gap? - KDnuggets</a></li><li><a href="https://lineapy.org/" target="_blank" rel="noreferrer noopener">Lineapy.org</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/moving-from-dev-notebooks-to-production-code-ml-098</guid><pubDate>Thu, 22 Dec 2022 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842232/stream.mp3" length="103776286" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>In this week's episode we meet with Mike Arov, committer to the MLOps tool framework lineapy. From the benefits of notebooks as development tooling for Data Science work to the complex refactoring needed to convert them to production-capable code...</itunes:subtitle><itunes:summary><![CDATA[In this week's episode we meet with Mike Arov, committer to the MLOps tool framework lineapy. From the benefits of notebooks as development tooling for Data Science work to the complex refactoring needed to convert them to production-capable code bases, our conversation dives deep into the generally under-represented bridge tooling of code base conversions.<br />On YouTube<a href="https://youtu.be/e-tDYrkY6x4" target="_blank" rel="noreferrer noopener">Moving from Dev Notebooks to Production Code - ML 098</a><br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting with Clean Architecture by Robert C. Martin</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Links<ul><li><a href="https://www.kdnuggets.com/2022/08/way-bridge-mlops-tools-gap.html" target="_blank" rel="noreferrer noopener">Is There a Way to Bridge the MLOps Tools Gap? - KDnuggets</a></li><li><a href="https://lineapy.org/" target="_blank" rel="noreferrer noopener">Lineapy.org</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>4272</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>How to Edit and Contribute to Existing Code Base - ML 097</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/how-to-edit-and-contribute-to-existing-code-base-ml-097</link><description><![CDATA[Let's be honest. We've all copied and pasted code from the internet. <br />There are many great code sources and in this episode, Ben and Michael discuss how to leverage existing code. They explain how to understand a code base and some best practices for contribution. <br /><br /> Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting with Clean Architecture by Robert C. Martin</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/how-to-edit-and-contribute-to-existing-code-base-ml-097</guid><pubDate>Thu, 15 Dec 2022 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842208/stream.mp3" length="79824090" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Let's be honest. We've all copied and pasted code from the internet. 
There are many great code sources and in this episode, Ben and Michael discuss how to leverage existing code. They explain how to understand a code base and some best practices for...</itunes:subtitle><itunes:summary><![CDATA[Let's be honest. We've all copied and pasted code from the internet. <br />There are many great code sources and in this episode, Ben and Michael discuss how to leverage existing code. They explain how to understand a code base and some best practices for contribution. <br /><br /> Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting with Clean Architecture by Robert C. Martin</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3274</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>MLflow 2.0 And How Large-Scale Projects Are Managed In The Open Source - ML 096</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/mlflow-2-0-and-how-large-scale-projects-are-managed-in-the-open-source-ml-096</link><description><![CDATA[Corey Zumar talks about the new release of MLflow, 2.0, and what the new major features that are included in the release. Bilal and Corey then discuss managing feature implementation priorities, and selling large-scale project ideas to internal customers, end-users, executives, and the dev team. The discussion also centers around generalizing feature requests to implementations that will work for the masses and how to effectively do prototype releases for incremental agile development for complex projects. <br /><br /> Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting with Clean Architecture by Robert C. Martin</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Links<ul><li><a href="https://github.com/Corey-Zumar" target="_blank" rel="noreferrer noopener">GitHub: Corey-Zumar</a></li></ul><br /><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/mlflow-2-0-and-how-large-scale-projects-are-managed-in-the-open-source-ml-096</guid><pubDate>Thu, 01 Dec 2022 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842179/stream.mp3" length="71945977" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Corey Zumar talks about the new release of MLflow, 2.0, and what the new major features that are included in the release. Bilal and Corey then discuss managing feature implementation priorities, and selling large-scale project ideas to internal...</itunes:subtitle><itunes:summary><![CDATA[Corey Zumar talks about the new release of MLflow, 2.0, and what the new major features that are included in the release. Bilal and Corey then discuss managing feature implementation priorities, and selling large-scale project ideas to internal customers, end-users, executives, and the dev team. The discussion also centers around generalizing feature requests to implementations that will work for the masses and how to effectively do prototype releases for incremental agile development for complex projects. <br /><br /> Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting with Clean Architecture by Robert C. Martin</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br />Links<ul><li><a href="https://github.com/Corey-Zumar" target="_blank" rel="noreferrer noopener">GitHub: Corey-Zumar</a></li></ul><br /><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2946</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>How To Recession Proof Your Job - BONUS</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/how-to-recession-proof-your-job-bonus-6f49f962-0059-4dbb-8420-8d2997bf9bb9</link><description><![CDATA[  <a href="https://topenddevs.com/thrive" target="_blank" rel="noreferrer noopener">Get the Black Friday/Cyber Monday "Focus Blocks Bundle" Deal</a> Coupon Code: "THRIVE" for a GIANT discount   Are you looking at all the layoffs and uncertainty going on and wondering if your company is the next to cut back?  Or, maybe you're a freelancer or entrepreneur who is trying to figure out how to deliver more value to gain or retain customers?  Mani Vaya joins Charles Max Wood to discuss the one thing that both of them use to more than double their productivity on a daily basis.  Mani has read 1,000's of productivity books over the last several years and has formulated a methodology for getting more done, but found that he lacked the discipline to follow through on his plans.  The he found the one thing that kept him on track and made him so productive that he is now getting all of his work done and was able to live the life he wants.  Chuck also weighs in on how Mani's technique has worked for him and allows him to spend more time with his wife and kids, run a podcast network, and a nearly full time contract.  Join the episode to learn how Chuck and Mani get into a regular flow state with their work and consistently deliver at work.    <br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/how-to-recession-proof-your-job-bonus-6f49f962-0059-4dbb-8420-8d2997bf9bb9</guid><pubDate>Thu, 24 Nov 2022 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842193/stream.mp3" length="104275928" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>  https://topenddevs.com/thrive Coupon Code: "THRIVE" for a GIANT discount   Are you looking at all the layoffs and uncertainty going on and wondering if your company is the next to cut back?  Or, maybe you're a freelancer or entrepreneur who is...</itunes:subtitle><itunes:summary><![CDATA[  <a href="https://topenddevs.com/thrive" target="_blank" rel="noreferrer noopener">Get the Black Friday/Cyber Monday "Focus Blocks Bundle" Deal</a> Coupon Code: "THRIVE" for a GIANT discount   Are you looking at all the layoffs and uncertainty going on and wondering if your company is the next to cut back?  Or, maybe you're a freelancer or entrepreneur who is trying to figure out how to deliver more value to gain or retain customers?  Mani Vaya joins Charles Max Wood to discuss the one thing that both of them use to more than double their productivity on a daily basis.  Mani has read 1,000's of productivity books over the last several years and has formulated a methodology for getting more done, but found that he lacked the discipline to follow through on his plans.  The he found the one thing that kept him on track and made him so productive that he is now getting all of his work done and was able to live the life he wants.  Chuck also weighs in on how Mani's technique has worked for him and allows him to spend more time with his wife and kids, run a podcast network, and a nearly full time contract.  Join the episode to learn how Chuck and Mani get into a regular flow state with their work and consistently deliver at work.    <br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>4345</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Should you Context Switch when Writing Code? - ML 095</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/should-you-context-switch-when-writing-code-ml-095</link><description><![CDATA[Do you multitask? If so, you'll want to check out this episode. We'll cover...<br /><br /><ol><li>The difference between good and bad context switching</li><li>Some personal stories about context switching on projects</li><li>Practical tips you can leverage to improve your productivity</li></ol><br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting with Clean Architecture by Robert C. Martin</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br /><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/should-you-context-switch-when-writing-code-ml-095</guid><pubDate>Thu, 24 Nov 2022 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842084/stream.mp3" length="23613385" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Do you multitask? If so, you'll want to check out this episode. We'll cover...


- The difference between good and bad context switching
- Some personal stories about context switching on projects
- Practical tips you can leverage to improve your...</itunes:subtitle><itunes:summary><![CDATA[Do you multitask? If so, you'll want to check out this episode. We'll cover...<br /><br /><ol><li>The difference between good and bad context switching</li><li>Some personal stories about context switching on projects</li><li>Practical tips you can leverage to improve your productivity</li></ol><br />Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting with Clean Architecture by Robert C. Martin</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br /><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>1863</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Important Questions To Ask When Scoping ML Projects - ML 094</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/important-questions-to-ask-when-scoping-ml-projects-ml-094</link><description><![CDATA[Have you ever wondered how to prioritize your ML projects? Today we will talk about...<br /><br /><ol><li>The difference between applied ML and ML frameworks</li><li>How to effectively scope projects via Heilmeier's Catechism</li></ol><br /><br /> Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting with Clean Architecture by Robert C. Martin</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br /><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/important-questions-to-ask-when-scoping-ml-projects-ml-094</guid><pubDate>Thu, 17 Nov 2022 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842093/stream.mp3" length="35673807" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Have you ever wondered how to prioritize your ML projects? Today we will talk about...


- The difference between applied ML and ML frameworks
- How to effectively scope projects via Heilmeier's Catechism


 Sponsors
- https://topenddevs.com/resume
-...</itunes:subtitle><itunes:summary><![CDATA[Have you ever wondered how to prioritize your ML projects? Today we will talk about...<br /><br /><ol><li>The difference between applied ML and ML frameworks</li><li>How to effectively scope projects via Heilmeier's Catechism</li></ol><br /><br /> Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting with Clean Architecture by Robert C. Martin</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br /><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2868</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>How To Do Research Spikes - ML 093</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/how-to-do-research-spikes-ml-093</link><description><![CDATA[Have you ever wondered how to efficiently learn topics? In this episode, we discuss how to conduct a research spike within an ML team setting.<br /><br /> Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting with Clean Architecture by Robert C. Martin</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br /><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/how-to-do-research-spikes-ml-093</guid><pubDate>Thu, 10 Nov 2022 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842094/stream.mp3" length="35088873" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Have you ever wondered how to efficiently learn topics? In this episode, we discuss how to conduct a research spike within an ML team setting.

 Sponsors
- https://topenddevs.com/resume
- https://topenddevs.com/book-club
-...</itunes:subtitle><itunes:summary><![CDATA[Have you ever wondered how to efficiently learn topics? In this episode, we discuss how to conduct a research spike within an ML team setting.<br /><br /> Sponsors<ul><li><a href="https://topenddevs.com/resume" target="_blank" rel="noreferrer noopener">Chuck's Resume Template</a></li><li><a href="https://topenddevs.com/book-club" target="_blank" rel="noreferrer noopener">Developer Book Club starting with Clean Architecture by Robert C. Martin</a></li><li><a href="https://topenddevs.com/sign_up" target="_blank" rel="noreferrer noopener">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br /><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2819</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>How to Simplify Data Science with DagsHub Founders - ML 092</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/how-to-simplify-data-science-with-dagshub-founders-ml-092</link><description><![CDATA[Have you ever wondered why data science is hard? Well, in this episode we cover some common data science challenges and how the founders of DagsHub are looking to solve them. <br /><br /> Sponsors<ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul><br />Links<ul><li><a href="https://www.linkedin.com/in/deanpleban/" target="_blank" rel="noreferrer noopener">Dean Pleban</a></li></ul><br /><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/how-to-simplify-data-science-with-dagshub-founders-ml-092</guid><pubDate>Thu, 27 Oct 2022 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842095/stream.mp3" length="35856246" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Have you ever wondered why data science is hard? Well, in this episode we cover some common data science challenges and how the founders of DagsHub are looking to solve them. 

 Sponsors
- https://topenddevs.com/
- https://topenddevs.com/coaching...</itunes:subtitle><itunes:summary><![CDATA[Have you ever wondered why data science is hard? Well, in this episode we cover some common data science challenges and how the founders of DagsHub are looking to solve them. <br /><br /> Sponsors<ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul><br />Links<ul><li><a href="https://www.linkedin.com/in/deanpleban/" target="_blank" rel="noreferrer noopener">Dean Pleban</a></li></ul><br /><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2883</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>How to Test ML Code - ML 091</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/how-to-test-ml-code-ml-091</link><description><![CDATA[In this show, we cover some practical tips for writing reliable ML code. Here are some of the questions we look to answer...<br /><br /><ol><li>What are tests and why should you use them?</li><li>What's the difference between unit tests and integration tests?</li><li>What should you test?</li><li>How should you write tests in python? (the answer is to use pytest)</li></ol><br />Sponsors<ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li><li>Enov8, who provides <a href="https://www.enov8.com/blog/test-data-management-in-depth-the-what-and-the-how/" target="_blank" rel="noreferrer noopener">test data management</a></li></ul><br /><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/how-to-test-ml-code-ml-091</guid><pubDate>Thu, 20 Oct 2022 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842087/stream.mp3" length="33333758" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>In this show, we cover some practical tips for writing reliable ML code. Here are some of the questions we look to answer...


- What are tests and why should you use them?
- What's the difference between unit tests and integration tests?
- What...</itunes:subtitle><itunes:summary><![CDATA[In this show, we cover some practical tips for writing reliable ML code. Here are some of the questions we look to answer...<br /><br /><ol><li>What are tests and why should you use them?</li><li>What's the difference between unit tests and integration tests?</li><li>What should you test?</li><li>How should you write tests in python? (the answer is to use pytest)</li></ol><br />Sponsors<ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li><li>Enov8, who provides <a href="https://www.enov8.com/blog/test-data-management-in-depth-the-what-and-the-how/" target="_blank" rel="noreferrer noopener">test data management</a></li></ul><br /><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2673</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>AGI, Neuron Simulators, and More with Charles Simon - ML 090</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/agi-neuron-simulators-and-more-with-charles-simon-ml-090</link><description><![CDATA[Charles Simon, BSEE, MSCs is a nationally recognized entrepreneur and software developer who has many years of computer experience in industry including pioneering work in artificial intelligence (AI).  Mr. Simon's technical experience includes the creation of two unique AI systems along with software for successful neurological test equipment combining AI development with biomedical nerve signal testing that gives him the singular insight.  Today on the show, Charles, Michael, and Ben explore the riveting future of AGI and other illuminating technology concepts.  This is an exciting episode you won’t want to miss!<br /><br /> In this episode…<br /><ul><li>Charles Simon’s extensive background</li><li>Classical algorithms vs manual design</li><li>Knowledge and power generated in our brains</li><li>AI and ML concepts and learning patterns</li><li>Graph based approaches and deep learning</li><li>“Terminator” and AGI</li><li>Future AI and open source simulator</li><li>Leveraging technology to solve problems </li></ul><br />Sponsors<ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul><br />Links<ul><li><a href="https://futureai.guru/about/the-team/" target="_blank" rel="noreferrer noopener">The Team</a></li><li><a href="https://www.linkedin.com/in/charles-simon-futureai/" target="_blank" rel="noreferrer noopener">LinkedIn: Charles Simon</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/agi-neuron-simulators-and-more-with-charles-simon-ml-090</guid><pubDate>Thu, 06 Oct 2022 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842113/stream.mp3" length="47432357" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Charles Simon, BSEE, MSCs is a nationally recognized entrepreneur and software developer who has many years of computer experience in industry including pioneering work in artificial intelligence (AI).  Mr. Simon's technical experience includes the...</itunes:subtitle><itunes:summary><![CDATA[Charles Simon, BSEE, MSCs is a nationally recognized entrepreneur and software developer who has many years of computer experience in industry including pioneering work in artificial intelligence (AI).  Mr. Simon's technical experience includes the creation of two unique AI systems along with software for successful neurological test equipment combining AI development with biomedical nerve signal testing that gives him the singular insight.  Today on the show, Charles, Michael, and Ben explore the riveting future of AGI and other illuminating technology concepts.  This is an exciting episode you won’t want to miss!<br /><br /> In this episode…<br /><ul><li>Charles Simon’s extensive background</li><li>Classical algorithms vs manual design</li><li>Knowledge and power generated in our brains</li><li>AI and ML concepts and learning patterns</li><li>Graph based approaches and deep learning</li><li>“Terminator” and AGI</li><li>Future AI and open source simulator</li><li>Leveraging technology to solve problems </li></ul><br />Sponsors<ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul><br />Links<ul><li><a href="https://futureai.guru/about/the-team/" target="_blank" rel="noreferrer noopener">The Team</a></li><li><a href="https://www.linkedin.com/in/charles-simon-futureai/" target="_blank" rel="noreferrer noopener">LinkedIn: Charles Simon</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3848</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Complex ML Models with Data Scientist Fernando Lopez - ML 089</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/complex-ml-models-with-data-scientist-fernando-lopez-ml-089</link><description><![CDATA[Fernando Lopez joins the show today to share his ML insights with a video interview recruiting platform for candidate hiring.  Michael and Ben also deep dive into various related ML models and AI topics.<br /><br /> In this episode…<br /><ul><li>Core software engineering skills</li><li>Practice data algorithms and structures </li><li>Working towards production-grade ML</li><li>Data engineering and data structures</li><li>Using state-of-the-art models </li><li>Applying labels to data</li><li>The AI revolution </li><li>Eliminating bias and unweighted data set</li><li>Unconscious and conscious exercises</li><li>Complex models with structure</li></ul><br />Sponsors<ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul><br />Links<ul><li><a href="https://www.kdnuggets.com/2022/08/package-distribute-machine-learning-models-mlflow.html" target="_blank" rel="noreferrer noopener">How to Package and Distribute Machine Learning Models with MLFlow - KDnuggets</a></li><li><a href="https://twitter.com/ferneutronn" target="_blank" rel="noreferrer noopener">Twitter: @ferneutronn</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/complex-ml-models-with-data-scientist-fernando-lopez-ml-089</guid><pubDate>Thu, 29 Sep 2022 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842106/stream.mp3" length="42369826" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Fernando Lopez joins the show today to share his ML insights with a video interview recruiting platform for candidate hiring.  Michael and Ben also deep dive into various related ML models and AI topics.

 In this episode…

- Core software engineering...</itunes:subtitle><itunes:summary><![CDATA[Fernando Lopez joins the show today to share his ML insights with a video interview recruiting platform for candidate hiring.  Michael and Ben also deep dive into various related ML models and AI topics.<br /><br /> In this episode…<br /><ul><li>Core software engineering skills</li><li>Practice data algorithms and structures </li><li>Working towards production-grade ML</li><li>Data engineering and data structures</li><li>Using state-of-the-art models </li><li>Applying labels to data</li><li>The AI revolution </li><li>Eliminating bias and unweighted data set</li><li>Unconscious and conscious exercises</li><li>Complex models with structure</li></ul><br />Sponsors<ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul><br />Links<ul><li><a href="https://www.kdnuggets.com/2022/08/package-distribute-machine-learning-models-mlflow.html" target="_blank" rel="noreferrer noopener">How to Package and Distribute Machine Learning Models with MLFlow - KDnuggets</a></li><li><a href="https://twitter.com/ferneutronn" target="_blank" rel="noreferrer noopener">Twitter: @ferneutronn</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3426</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Distributed Time Series in Machine Learning - ML 088</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/distributed-time-series-in-machine-learning-ml-088</link><description><![CDATA[Today the panel discusses high level distributed time series models, using a hot dog stand company as the case study to anchor the understanding with these models.<br /><br /> In this episode…<br /><ul><li>Understanding use case</li><li>ML flow models and events</li><li>KPI forecasts</li><li>Metadata outputs</li><li>Prediction intervals for hotdog data</li><li>Automated time series forecasts</li><li>Libraries required for optimization</li><li>Practical tips managing the data and</li><li>Setting up the data for consumption</li><li>Managing black swan events</li></ul><br />Sponsors<ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/distributed-time-series-in-machine-learning-ml-088</guid><pubDate>Thu, 22 Sep 2022 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842146/stream.mp3" length="35288866" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Today the panel discusses high level distributed time series models, using a hot dog stand company as the case study to anchor the understanding with these models.

 In this episode…

- Understanding use case
- ML flow models and events
- KPI...</itunes:subtitle><itunes:summary><![CDATA[Today the panel discusses high level distributed time series models, using a hot dog stand company as the case study to anchor the understanding with these models.<br /><br /> In this episode…<br /><ul><li>Understanding use case</li><li>ML flow models and events</li><li>KPI forecasts</li><li>Metadata outputs</li><li>Prediction intervals for hotdog data</li><li>Automated time series forecasts</li><li>Libraries required for optimization</li><li>Practical tips managing the data and</li><li>Setting up the data for consumption</li><li>Managing black swan events</li></ul><br />Sponsors<ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2836</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Time Series Models in Machine Learning - ML 087</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/time-series-models-in-machine-learning-ml-087</link><description><![CDATA[Today on the show, the panel discusses time series models, practical tips and tricks, and shares stories and examples of various models and the processes for optimal application in your ML workflows.<br /><br /> In this episode…<br /><ul><li>Ben’s time series model for sales forecasting</li><li>The flat line model</li><li>Examples using time series models</li><li>Understanding your data</li><li>Lag functions and moving averages </li><li>Signal processing in models</li><li>Manually adding change points</li><li>Deep learning in time series models <br /><br /></li></ul>Sponsors<ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/time-series-models-in-machine-learning-ml-087</guid><pubDate>Thu, 15 Sep 2022 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842112/stream.mp3" length="39615998" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Today on the show, the panel discusses time series models, practical tips and tricks, and shares stories and examples of various models and the processes for optimal application in your ML workflows.

 In this episode…

- Ben’s time series model for...</itunes:subtitle><itunes:summary><![CDATA[Today on the show, the panel discusses time series models, practical tips and tricks, and shares stories and examples of various models and the processes for optimal application in your ML workflows.<br /><br /> In this episode…<br /><ul><li>Ben’s time series model for sales forecasting</li><li>The flat line model</li><li>Examples using time series models</li><li>Understanding your data</li><li>Lag functions and moving averages </li><li>Signal processing in models</li><li>Manually adding change points</li><li>Deep learning in time series models <br /><br /></li></ul>Sponsors<ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3197</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Optical Character Recognition (OCR) and Machine Learning with Ahmad Anis - ML 086</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/optical-character-recognition-ocr-and-machine-learning-with-ahmad-anis-ml-086</link><description><![CDATA[Optical character recognition, or OCR for short, is used to describe algorithms and techniques (both electronic and mechanical) to convert images of text to machine-encoded text.  Today on the show, Ahmad Anis shares how he applies Machine Learning to OCR for small hardware applications, for example, blurring a face in a video in real time or on a stream to safeguard privacy using AI.  The panel also discusses various strategies related to learning and soft skills needed for success within the industry.<br /><br /> In this episode…<br /><ul><li>Optical character recognition (OCR) defined</li><li>Multiprocessing vs. multithreading </li><li>I/O bound tasks vs. CPU tasks</li><li>How to handle a retry in Python</li><li>Strategies for employing on small hardware </li><li>Template matching and preprocessing </li><li>Gray scaling integrations</li><li>How to learn and get started within the industry</li><li>Reducing the scope and industry soft skills </li></ul><br />Sponsors<ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul><br />Links<ul><li><a href="https://www.linkedin.com/in/ahmad-anis/" target="_blank" rel="noreferrer noopener">LinkedIn: Ahmad Anis</a></li><li><a href="https://twitter.com/AhmadMustafaAn1" target="_blank" rel="noreferrer noopener">Twitter: @AhmadMustafaAn1</a></li></ul><br /><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/optical-character-recognition-ocr-and-machine-learning-with-ahmad-anis-ml-086</guid><pubDate>Thu, 08 Sep 2022 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842115/stream.mp3" length="39854548" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Optical character recognition, or OCR for short, is used to describe algorithms and techniques (both electronic and mechanical) to convert images of text to machine-encoded text.  Today on the show, Ahmad Anis shares how he applies Machine Learning to...</itunes:subtitle><itunes:summary><![CDATA[Optical character recognition, or OCR for short, is used to describe algorithms and techniques (both electronic and mechanical) to convert images of text to machine-encoded text.  Today on the show, Ahmad Anis shares how he applies Machine Learning to OCR for small hardware applications, for example, blurring a face in a video in real time or on a stream to safeguard privacy using AI.  The panel also discusses various strategies related to learning and soft skills needed for success within the industry.<br /><br /> In this episode…<br /><ul><li>Optical character recognition (OCR) defined</li><li>Multiprocessing vs. multithreading </li><li>I/O bound tasks vs. CPU tasks</li><li>How to handle a retry in Python</li><li>Strategies for employing on small hardware </li><li>Template matching and preprocessing </li><li>Gray scaling integrations</li><li>How to learn and get started within the industry</li><li>Reducing the scope and industry soft skills </li></ul><br />Sponsors<ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul><br />Links<ul><li><a href="https://www.linkedin.com/in/ahmad-anis/" target="_blank" rel="noreferrer noopener">LinkedIn: Ahmad Anis</a></li><li><a href="https://twitter.com/AhmadMustafaAn1" target="_blank" rel="noreferrer noopener">Twitter: @AhmadMustafaAn1</a></li></ul><br /><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3217</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Innovation and AI Strategies with Award Winning Data Science Leader Vidhi Chugh - ML 085</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/innovation-and-ai-strategies-with-award-winning-data-science-leader-vidhi-chugh-ml-085</link><description><![CDATA[Award winning data evangelist, AI strategist, and innovation leader Vidhi Chugh joins the show today to share her perspective on various topics, including data quality, AI innovation strategies, responsible AI, model intelligence, and much more!<br /><br /> In this episode…<br /><ul><li>The importance of innovation</li><li>Glorified failure projects </li><li>Responsible AI</li><li>Data driven companies and quality scores</li><li>Tools for autogenerated business insights</li><li>Model intelligence </li><li>Unspoken assumptions</li><li>Understanding the larger picture</li></ul><br />Sponsors<ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul><br />Links<ul><li><a href="https://www.kdnuggets.com/2022/07/benefits-becoming-datafirst-enterprise.html" target="_blank" rel="noreferrer noopener">Benefits Of Becoming A Data-First Enterprise - KDnuggets</a></li><li><a href="https://www.kdnuggets.com/2021/04/top-3-challenges-data-analytics-leaders.html" target="_blank" rel="noreferrer noopener">Top 3 Challenges for Data &amp; Analytics Leaders - KDnuggets</a></li><li><a href="https://www.datacamp.com/podcast/democratizing-data-in-large-enterprises" target="_blank" rel="noreferrer noopener">Democratizing Data in Large Enterprises</a></li><li><a href="https://www.linkedin.com/in/vidhi-chugh-088648a1/" target="_blank" rel="noreferrer noopener">LinkedIn: Vidhi Chugh</a></li></ul><br /><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/innovation-and-ai-strategies-with-award-winning-data-science-leader-vidhi-chugh-ml-085</guid><pubDate>Thu, 25 Aug 2022 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842134/stream.mp3" length="43452863" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Award winning data evangelist, AI strategist, and innovation leader Vidhi Chugh joins the show today to share her perspective on various topics, including data quality, AI innovation strategies, responsible AI, model intelligence, and much more!

 In...</itunes:subtitle><itunes:summary><![CDATA[Award winning data evangelist, AI strategist, and innovation leader Vidhi Chugh joins the show today to share her perspective on various topics, including data quality, AI innovation strategies, responsible AI, model intelligence, and much more!<br /><br /> In this episode…<br /><ul><li>The importance of innovation</li><li>Glorified failure projects </li><li>Responsible AI</li><li>Data driven companies and quality scores</li><li>Tools for autogenerated business insights</li><li>Model intelligence </li><li>Unspoken assumptions</li><li>Understanding the larger picture</li></ul><br />Sponsors<ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul><br />Links<ul><li><a href="https://www.kdnuggets.com/2022/07/benefits-becoming-datafirst-enterprise.html" target="_blank" rel="noreferrer noopener">Benefits Of Becoming A Data-First Enterprise - KDnuggets</a></li><li><a href="https://www.kdnuggets.com/2021/04/top-3-challenges-data-analytics-leaders.html" target="_blank" rel="noreferrer noopener">Top 3 Challenges for Data &amp; Analytics Leaders - KDnuggets</a></li><li><a href="https://www.datacamp.com/podcast/democratizing-data-in-large-enterprises" target="_blank" rel="noreferrer noopener">Democratizing Data in Large Enterprises</a></li><li><a href="https://www.linkedin.com/in/vidhi-chugh-088648a1/" target="_blank" rel="noreferrer noopener">LinkedIn: Vidhi Chugh</a></li></ul><br /><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3516</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Machine Learning on Mobile Devices and More with Aliaksei Mikhailiuk - ML 084</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/machine-learning-on-mobile-devices-and-more-with-aliaksei-mikhailiuk-ml-084</link><description><![CDATA[Enjoy this intellectually stimulating conversation with Michael Berk and guest on the show, Aliaksei Mikhailiuk, ML/AI engineer at Snapchat as they discuss everything AI computer graphics to techniques on striking the efficiency-accuracy trade-off for deep neural networks on constrained devices.<br />In this episode…<br /><ul><li>From academics to machine learning</li><li>Machine learning on mobile devices</li><li>Cloud computing</li><li>Applying AI to computer graphics</li><li>Being multi-disciplinary </li><li>User experience and latency</li><li>Model complexity issues</li></ul><br />Sponsors<ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul><br />Links<ul><li><a href="https://towardsdatascience.com/deep-video-inpainting-756e60ddcaaf" target="_blank" rel="noreferrer noopener">Deep Video Inpainting. Removing unwanted objects from videos… | by Aliaksei Mikhailiuk | Towards Data Science</a></li><li><a href="https://towardsdatascience.com/on-the-edge-deploying-deep-applications-on-constrained-devices-f2dac997dd4d" target="_blank" rel="noreferrer noopener">On the edge — deploying deep learning applications on mobile | by Aliaksei Mikhailiuk | Jul, 2022 | Towards Data Science</a></li><li><a href="https://towardsdatascience.com/seven-questions-to-ask-before-introducing-ai-to-your-project-b969d591c98b" target="_blank" rel="noreferrer noopener">Seven Questions to Ask before Introducing AI into Your Project | by Aliaksei Mikhailiuk | Towards Data Science</a></li><li><a href="https://mikhailiuk.github.io/" target="_blank" rel="noreferrer noopener">Aliaksei Mikhailiuk</a></li><li><a href="https://medium.com/@mikhailiuk" target="_blank" rel="noreferrer noopener">Aliaksei Mikhailiuk – Medium</a></li><li><a href="https://www.linkedin.com/in/aliakseimikhailiuk/" target="_blank" rel="noreferrer noopener">LinkedIn: Aliaksei Mikhailiuk</a></li><li><a href="https://twitter.com/mikhailiuka" target="_blank" rel="noreferrer noopener">Twitter: @mikhailiuka</a></li></ul><br /><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/machine-learning-on-mobile-devices-and-more-with-aliaksei-mikhailiuk-ml-084</guid><pubDate>Thu, 18 Aug 2022 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842086/stream.mp3" length="29873056" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Enjoy this intellectually stimulating conversation with Michael Berk and guest on the show, Aliaksei Mikhailiuk, ML/AI engineer at Snapchat as they discuss everything AI computer graphics to techniques on striking the efficiency-accuracy trade-off for...</itunes:subtitle><itunes:summary><![CDATA[Enjoy this intellectually stimulating conversation with Michael Berk and guest on the show, Aliaksei Mikhailiuk, ML/AI engineer at Snapchat as they discuss everything AI computer graphics to techniques on striking the efficiency-accuracy trade-off for deep neural networks on constrained devices.<br />In this episode…<br /><ul><li>From academics to machine learning</li><li>Machine learning on mobile devices</li><li>Cloud computing</li><li>Applying AI to computer graphics</li><li>Being multi-disciplinary </li><li>User experience and latency</li><li>Model complexity issues</li></ul><br />Sponsors<ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul><br />Links<ul><li><a href="https://towardsdatascience.com/deep-video-inpainting-756e60ddcaaf" target="_blank" rel="noreferrer noopener">Deep Video Inpainting. Removing unwanted objects from videos… | by Aliaksei Mikhailiuk | Towards Data Science</a></li><li><a href="https://towardsdatascience.com/on-the-edge-deploying-deep-applications-on-constrained-devices-f2dac997dd4d" target="_blank" rel="noreferrer noopener">On the edge — deploying deep learning applications on mobile | by Aliaksei Mikhailiuk | Jul, 2022 | Towards Data Science</a></li><li><a href="https://towardsdatascience.com/seven-questions-to-ask-before-introducing-ai-to-your-project-b969d591c98b" target="_blank" rel="noreferrer noopener">Seven Questions to Ask before Introducing AI into Your Project | by Aliaksei Mikhailiuk | Towards Data Science</a></li><li><a href="https://mikhailiuk.github.io/" target="_blank" rel="noreferrer noopener">Aliaksei Mikhailiuk</a></li><li><a href="https://medium.com/@mikhailiuk" target="_blank" rel="noreferrer noopener">Aliaksei Mikhailiuk – Medium</a></li><li><a href="https://www.linkedin.com/in/aliakseimikhailiuk/" target="_blank" rel="noreferrer noopener">LinkedIn: Aliaksei Mikhailiuk</a></li><li><a href="https://twitter.com/mikhailiuka" target="_blank" rel="noreferrer noopener">Twitter: @mikhailiuka</a></li></ul><br /><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2385</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Leveling Up in your Data Science Career with Adam Ross Nelson - ML 083</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/leveling-up-in-your-data-science-career-with-adam-ross-nelson-ml-083</link><description><![CDATA[Adam Ross Nelson helps current and aspiring data professionals enter and level up in the field by uncovering and showcasing their existing data-related talents.  Today on the show, Michael interviews Adam to share his various strategies and approaches on how to become a data scientist or make advanced changes in the data science career path.<br /><br /> In this episode…<br /><ul><li>The “distributed portfolio approach” vs. professional portfolio </li><li>Leveraging each platforms strengths </li><li>Creating a personal brand</li><li>Find others to network and connect with</li><li>Create a Rosetta stone in your programming language</li><li>Pandas-profiling to contribute to the community</li><li>Working with a career coach</li><li>Asking the right interview questions</li></ul><br />Sponsors<ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul><br />Links<ul><li><a href="https://medium.com/towards-data-science/data-science-projects-accepting-community-contributions-662e724ba110" target="_blank" rel="noreferrer noopener">Data Science Projects Accepting Community Contributions | by Adam Ross Nelson | May, 2022 | Towards Data Science</a></li><li><a href="https://www.adamrossnelson.com/" target="_blank" rel="noreferrer noopener">Adam Ross Nelson</a></li><li><a href="https://www.linkedin.com/in/arnelson/" target="_blank" rel="noreferrer noopener">LinkedIn: Adam Ross Nelson</a></li><li><a href="https://twitter.com/AdamRossNelson" target="_blank" rel="noreferrer noopener">Twitter: @AdamRossNelson</a></li></ul><br /><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/leveling-up-in-your-data-science-career-with-adam-ross-nelson-ml-083</guid><pubDate>Thu, 04 Aug 2022 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842104/stream.mp3" length="39008808" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Adam Ross Nelson helps current and aspiring data professionals enter and level up in the field by uncovering and showcasing their existing data-related talents.  Today on the show, Michael interviews Adam to share his various strategies and approaches...</itunes:subtitle><itunes:summary><![CDATA[Adam Ross Nelson helps current and aspiring data professionals enter and level up in the field by uncovering and showcasing their existing data-related talents.  Today on the show, Michael interviews Adam to share his various strategies and approaches on how to become a data scientist or make advanced changes in the data science career path.<br /><br /> In this episode…<br /><ul><li>The “distributed portfolio approach” vs. professional portfolio </li><li>Leveraging each platforms strengths </li><li>Creating a personal brand</li><li>Find others to network and connect with</li><li>Create a Rosetta stone in your programming language</li><li>Pandas-profiling to contribute to the community</li><li>Working with a career coach</li><li>Asking the right interview questions</li></ul><br />Sponsors<ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul><br />Links<ul><li><a href="https://medium.com/towards-data-science/data-science-projects-accepting-community-contributions-662e724ba110" target="_blank" rel="noreferrer noopener">Data Science Projects Accepting Community Contributions | by Adam Ross Nelson | May, 2022 | Towards Data Science</a></li><li><a href="https://www.adamrossnelson.com/" target="_blank" rel="noreferrer noopener">Adam Ross Nelson</a></li><li><a href="https://www.linkedin.com/in/arnelson/" target="_blank" rel="noreferrer noopener">LinkedIn: Adam Ross Nelson</a></li><li><a href="https://twitter.com/AdamRossNelson" target="_blank" rel="noreferrer noopener">Twitter: @AdamRossNelson</a></li></ul><br /><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3146</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Bioinformatics and Programming with Ken Youens-Clark - ML 082</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/bioinformatics-and-programming-with-ken-youens-clark-ml-082</link><description><![CDATA[Michael Berk interviews Ken Youens-Clark today to discuss various topics including bioinformatics and programming, plus his career progressions including jazz drumming, technical writing, programming, academia, writing books, and solutions engineering.  <br /><br /> In this episode…<br /><ul><li>Writing tests and type annotations</li><li>Project development lifecycle</li><li>Grading programmers with pass / fail</li><li>Soft skills within the industry</li><li>Bioinformatics and computer science</li><li>Prototyping and improving efficiencies</li></ul>Connect with Ken Youens-Clark via <a href="https://gmail.com" target="_blank" rel="noreferrer noopener">email</a> and <a href="https://www.linkedin.com/in/kycl4rk/" target="_blank" rel="noreferrer noopener">LinkedIn</a><br /><br /> Sponsors<ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul><br />Links<ul><li><a href="https://www.oreilly.com/library/view/mastering-python-for/9781098100872/" target="_blank" rel="noreferrer noopener">Mastering Python for Bioinformatics</a></li><li><a href="https://amzn.to/3Q4GfEQ" target="_blank" rel="noreferrer noopener">Command-Line Rust</a></li><li><a href="https://github.com/kyclark/command-line-rust" target="_blank" rel="noreferrer noopener">GitHub - kyclark/command-line-rust</a></li><li><a href="https://www.linkedin.com/in/kycl4rk/" target="_blank" rel="noreferrer noopener">LinkedIn: Ken Youens-Clark</a></li><li><a href="https://github.com/kyclark" target="_blank" rel="noreferrer noopener">GitHub: kyclark</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/bioinformatics-and-programming-with-ken-youens-clark-ml-082</guid><pubDate>Fri, 29 Jul 2022 10:42:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842110/stream.mp3" length="39906270" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Michael Berk interviews Ken Youens-Clark today to discuss various topics including bioinformatics and programming, plus his career progressions including jazz drumming, technical writing, programming, academia, writing books, and solutions...</itunes:subtitle><itunes:summary><![CDATA[Michael Berk interviews Ken Youens-Clark today to discuss various topics including bioinformatics and programming, plus his career progressions including jazz drumming, technical writing, programming, academia, writing books, and solutions engineering.  <br /><br /> In this episode…<br /><ul><li>Writing tests and type annotations</li><li>Project development lifecycle</li><li>Grading programmers with pass / fail</li><li>Soft skills within the industry</li><li>Bioinformatics and computer science</li><li>Prototyping and improving efficiencies</li></ul>Connect with Ken Youens-Clark via <a href="https://gmail.com" target="_blank" rel="noreferrer noopener">email</a> and <a href="https://www.linkedin.com/in/kycl4rk/" target="_blank" rel="noreferrer noopener">LinkedIn</a><br /><br /> Sponsors<ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul><br />Links<ul><li><a href="https://www.oreilly.com/library/view/mastering-python-for/9781098100872/" target="_blank" rel="noreferrer noopener">Mastering Python for Bioinformatics</a></li><li><a href="https://amzn.to/3Q4GfEQ" target="_blank" rel="noreferrer noopener">Command-Line Rust</a></li><li><a href="https://github.com/kyclark/command-line-rust" target="_blank" rel="noreferrer noopener">GitHub - kyclark/command-line-rust</a></li><li><a href="https://www.linkedin.com/in/kycl4rk/" target="_blank" rel="noreferrer noopener">LinkedIn: Ken Youens-Clark</a></li><li><a href="https://github.com/kyclark" target="_blank" rel="noreferrer noopener">GitHub: kyclark</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3221</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Building AI Data Responsibly with Edouard d’Archimbaud - ML 081</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/building-ai-data-responsibly-with-edouard-d-archimbaud-ml-081</link><description><![CDATA[Data excellence is the foundation of better AI.  Today on the show, Michael Berk interviews Edouard d’Archimbaud, co-founder of Kili Technology, a Training Data Platform that turns raw, unstructured data to high-quality training data, at scale.  Enjoy this engaging conversation about building AI responsibly on a foundation of good data. <br />In this episode…<br /><ol><li>What is cautious AI and trustworthy AI?</li><li>Defining clean data vs. diverse data</li><li>Image classification</li><li>How was Kili founded?</li><li>How does the labeler and model work together?</li><li>Algorithms and model structures  </li><li>Scaling with large data sets</li></ol><br />Sponsors<ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul><br />Links<ul><li><a href="https://kili-technology.com/" target="_blank" rel="noreferrer noopener">Kili Technology</a></li><li><a href="https://www.edarchimbaud.com/year-archive/" target="_blank" rel="noreferrer noopener">Blog posts</a></li><li><a href="https://www.linkedin.com/in/edouard-d-archimbaud/?originalSubdomain=fr" target="_blank" rel="noreferrer noopener">LinkedIn: Edouard d'Archimbaud</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/building-ai-data-responsibly-with-edouard-d-archimbaud-ml-081</guid><pubDate>Thu, 21 Jul 2022 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842096/stream.mp3" length="31004367" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Data excellence is the foundation of better AI.  Today on the show, Michael Berk interviews Edouard d’Archimbaud, co-founder of Kili Technology, a Training Data Platform that turns raw, unstructured data to high-quality training data, at scale.  Enjoy...</itunes:subtitle><itunes:summary><![CDATA[Data excellence is the foundation of better AI.  Today on the show, Michael Berk interviews Edouard d’Archimbaud, co-founder of Kili Technology, a Training Data Platform that turns raw, unstructured data to high-quality training data, at scale.  Enjoy this engaging conversation about building AI responsibly on a foundation of good data. <br />In this episode…<br /><ol><li>What is cautious AI and trustworthy AI?</li><li>Defining clean data vs. diverse data</li><li>Image classification</li><li>How was Kili founded?</li><li>How does the labeler and model work together?</li><li>Algorithms and model structures  </li><li>Scaling with large data sets</li></ol><br />Sponsors<ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul><br />Links<ul><li><a href="https://kili-technology.com/" target="_blank" rel="noreferrer noopener">Kili Technology</a></li><li><a href="https://www.edarchimbaud.com/year-archive/" target="_blank" rel="noreferrer noopener">Blog posts</a></li><li><a href="https://www.linkedin.com/in/edouard-d-archimbaud/?originalSubdomain=fr" target="_blank" rel="noreferrer noopener">LinkedIn: Edouard d'Archimbaud</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2479</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>From Golf Instructor to Software Developer: Taking Next Steps in your Career - ML 080</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/from-golf-instructor-to-software-developer-taking-next-steps-in-your-career-ml-080</link><description><![CDATA[Jesse Langford spent the first half of his career as a golf instructor before pivoting to software engineering.  Today on the show, Ben interviews Jesse to learn why and how he made this pivot, plus relevant career advice for all developers.  Specific topics include taking ownership of your work, being comfortable making mistakes, and how to stretch yourself every day.<br /><br /> In this episode…<br /><ol><li>Taking ownership</li><li>Being comfortable taking risks and making mistakes</li><li>From back end to front end development</li><li>Self taught and self paced</li><li>Dunning-Kruger effect</li><li>Continually growing and learning</li></ol><br /><br /> Sponsors<ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul><br />Links<ul><li><a href="https://betterprogramming.pub/the-most-important-thing-i-did-to-become-a-senior-developer-2c9aaeaa35f6" target="_blank" rel="noreferrer noopener">The Most Important Thing I Did to Become a Senior Developer</a></li><li><a href="https://jesse-94998.medium.com/?source=user_profile-------------------------------------" target="_blank" rel="noreferrer noopener">Jesse Langford</a></li><li><a href="https://www.linkedin.com/in/jessewlangford/" target="_blank" rel="noreferrer noopener">LinkedIn: Jesse Langford</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/from-golf-instructor-to-software-developer-taking-next-steps-in-your-career-ml-080</guid><pubDate>Thu, 14 Jul 2022 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842105/stream.mp3" length="34328710" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Jesse Langford spent the first half of his career as a golf instructor before pivoting to software engineering.  Today on the show, Ben interviews Jesse to learn why and how he made this pivot, plus relevant career advice for all developers.  Specific...</itunes:subtitle><itunes:summary><![CDATA[Jesse Langford spent the first half of his career as a golf instructor before pivoting to software engineering.  Today on the show, Ben interviews Jesse to learn why and how he made this pivot, plus relevant career advice for all developers.  Specific topics include taking ownership of your work, being comfortable making mistakes, and how to stretch yourself every day.<br /><br /> In this episode…<br /><ol><li>Taking ownership</li><li>Being comfortable taking risks and making mistakes</li><li>From back end to front end development</li><li>Self taught and self paced</li><li>Dunning-Kruger effect</li><li>Continually growing and learning</li></ol><br /><br /> Sponsors<ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul><br />Links<ul><li><a href="https://betterprogramming.pub/the-most-important-thing-i-did-to-become-a-senior-developer-2c9aaeaa35f6" target="_blank" rel="noreferrer noopener">The Most Important Thing I Did to Become a Senior Developer</a></li><li><a href="https://jesse-94998.medium.com/?source=user_profile-------------------------------------" target="_blank" rel="noreferrer noopener">Jesse Langford</a></li><li><a href="https://www.linkedin.com/in/jessewlangford/" target="_blank" rel="noreferrer noopener">LinkedIn: Jesse Langford</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2756</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Hyperparameter Tuning for Machine Learning Models - ML 079</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/hyperparameter-tuning-for-machine-learning-models-ml-079</link><description><![CDATA[When developing ML models, defining and selecting the model architecture will be fundamental to ensure the best possible outcomes.  Parameters that define the model architecture are referred to as hyperparameters and the process of searching for the ideal model architecture is referred to as hyperparameter tuning.  Today on the show, Ben and Michael discuss hyperparameter tuning and how to implement this into your ML modeling.<br /><br /> In this episode…<br /><ol><li>Why do we tune?</li><li>Optimizing the models</li><li>Hyperparameter tuning</li><li>Steps for tuning</li><li>Data splits</li><li>Linear based models</li><li>How do you know when you know enough?</li><li>Basic rules of thumb</li><li>Buffer in time for spikes</li><li>Grid searching and automation</li></ol><br />Sponsors<ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul><br /><br /><br /><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/hyperparameter-tuning-for-machine-learning-models-ml-079</guid><pubDate>Thu, 07 Jul 2022 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842148/stream.mp3" length="63639037" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>When developing ML models, defining and selecting the model architecture will be fundamental to ensure the best possible outcomes.  Parameters that define the model architecture are referred to as hyperparameters and the process of searching for the...</itunes:subtitle><itunes:summary><![CDATA[When developing ML models, defining and selecting the model architecture will be fundamental to ensure the best possible outcomes.  Parameters that define the model architecture are referred to as hyperparameters and the process of searching for the ideal model architecture is referred to as hyperparameter tuning.  Today on the show, Ben and Michael discuss hyperparameter tuning and how to implement this into your ML modeling.<br /><br /> In this episode…<br /><ol><li>Why do we tune?</li><li>Optimizing the models</li><li>Hyperparameter tuning</li><li>Steps for tuning</li><li>Data splits</li><li>Linear based models</li><li>How do you know when you know enough?</li><li>Basic rules of thumb</li><li>Buffer in time for spikes</li><li>Grid searching and automation</li></ol><br />Sponsors<ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul><br /><br /><br /><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3119</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Ask Me Anything (AMA) with Host Ben Wilson - ML 078</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/ask-me-anything-ama-with-host-ben-wilson-ml-078</link><description><![CDATA[Enjoy this engaging AMA conversation with Michael Berk asking Ben Wilson various questions related to industry, strategy, and approaches in data science and ML engineering.<br />In this episode…<br /><ol><li>Why should people trust you?</li><li>What will you lose by hearing about other people’s failures vs. personally failing to learn?</li><li>How do you view the current industry?</li><li>Do you think data scientists and ML engineers are overpaid?</li><li>What are 3 things important to ROI?</li><li>How do you set the tone for culture?</li></ol><br />Sponsors<ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul><br />Links<ul><li><a href="https://www.amazon.com/Machine-Learning-Engineering-Action-Wilson/dp/1617298719" target="_blank" rel="noreferrer noopener">Machine Learning Engineering in Action</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/ask-me-anything-ama-with-host-ben-wilson-ml-078</guid><pubDate>Thu, 30 Jun 2022 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842135/stream.mp3" length="58335135" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Enjoy this engaging AMA conversation with Michael Berk asking Ben Wilson various questions related to industry, strategy, and approaches in data science and ML engineering.
In this episode…

- Why should people trust you?
- What will you lose by...</itunes:subtitle><itunes:summary><![CDATA[Enjoy this engaging AMA conversation with Michael Berk asking Ben Wilson various questions related to industry, strategy, and approaches in data science and ML engineering.<br />In this episode…<br /><ol><li>Why should people trust you?</li><li>What will you lose by hearing about other people’s failures vs. personally failing to learn?</li><li>How do you view the current industry?</li><li>Do you think data scientists and ML engineers are overpaid?</li><li>What are 3 things important to ROI?</li><li>How do you set the tone for culture?</li></ol><br />Sponsors<ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul><br />Links<ul><li><a href="https://www.amazon.com/Machine-Learning-Engineering-Action-Wilson/dp/1617298719" target="_blank" rel="noreferrer noopener">Machine Learning Engineering in Action</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2854</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Optimizers in Machine Learning, Featuring Maciej Balawejder - ML 077</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/optimizers-in-machine-learning-featuring-maciej-balawejder-ml-077</link><description><![CDATA[Ben and Michael interview Maciej Balawejder, a mechanical engineering student passionate about AI, ML, and robotics.  As an active contributor on Medium.com, Maciej has already made significant contributions to the AI and ML communities.  On the show, they discuss Maciej’s recent article about optimizers in Machine Learning, plus their personal philosophies and approaches to deep learning.<br /><br />Sponsors<br /><br /><ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul><br />Links<ul><li><a href="https://maciejbalawejder.medium.com/" target="_blank" rel="noreferrer noopener">Maciej Balawejder - Medium</a></li><li><a href="https://medium.com/nerd-for-tech/optimizers-in-machine-learning-f1a9c549f8b4" target="_blank" rel="noreferrer noopener">Optimizers in Machine Learning</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/optimizers-in-machine-learning-featuring-maciej-balawejder-ml-077</guid><pubDate>Thu, 23 Jun 2022 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842159/stream.mp3" length="59309502" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Ben and Michael interview Maciej Balawejder, a mechanical engineering student passionate about AI, ML, and robotics.  As an active contributor on Medium.com, Maciej has already made significant contributions to the AI and ML communities.  On the show,...</itunes:subtitle><itunes:summary><![CDATA[Ben and Michael interview Maciej Balawejder, a mechanical engineering student passionate about AI, ML, and robotics.  As an active contributor on Medium.com, Maciej has already made significant contributions to the AI and ML communities.  On the show, they discuss Maciej’s recent article about optimizers in Machine Learning, plus their personal philosophies and approaches to deep learning.<br /><br />Sponsors<br /><br /><ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul><br />Links<ul><li><a href="https://maciejbalawejder.medium.com/" target="_blank" rel="noreferrer noopener">Maciej Balawejder - Medium</a></li><li><a href="https://medium.com/nerd-for-tech/optimizers-in-machine-learning-f1a9c549f8b4" target="_blank" rel="noreferrer noopener">Optimizers in Machine Learning</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2903</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Part 2: Exploratory Data Analysis (EDA) Next Steps - ML 076</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/part-2-exploratory-data-analysis-eda-next-steps-ml-076</link><description><![CDATA[After ensuring your data has surpassed the hyper parameter tuning phase, what is the next step in your EDA protocol? Today on the show, Ben and Michael continue the discussion on EDA methodology within Machine Learning and discuss linear regression with OLS, decision trees, and common visualization tools for data scientists.<br /><br />  In this episode...<br /><br /><ol><li>Linear regression with OLS</li><li>Accuracy metrics</li><li>Decision trees</li><li>Shapley values</li><li>Common visualization tools</li></ol><br />Sponsors<br /><br /><ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/part-2-exploratory-data-analysis-eda-next-steps-ml-076</guid><pubDate>Thu, 16 Jun 2022 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842167/stream.mp3" length="61365339" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>After ensuring your data has surpassed the hyper parameter tuning phase, what is the next step in your EDA protocol? Today on the show, Ben and Michael continue the discussion on EDA methodology within Machine Learning and discuss linear regression...</itunes:subtitle><itunes:summary><![CDATA[After ensuring your data has surpassed the hyper parameter tuning phase, what is the next step in your EDA protocol? Today on the show, Ben and Michael continue the discussion on EDA methodology within Machine Learning and discuss linear regression with OLS, decision trees, and common visualization tools for data scientists.<br /><br />  In this episode...<br /><br /><ol><li>Linear regression with OLS</li><li>Accuracy metrics</li><li>Decision trees</li><li>Shapley values</li><li>Common visualization tools</li></ol><br />Sponsors<br /><br /><ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3006</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Exploratory Data Analysis (EDA) in Machine Learning - ML 075</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/exploratory-data-analysis-eda-in-machine-learning-ml-075</link><description><![CDATA[EDA is primarily used in machine learning to see what data can reveal beyond the formal modeling or hypothesis testing task and provides a better understanding of data set variables and the relationships between them. It can also help determine if the statistical techniques you are considering for data analysis are appropriate. Today on the show, Ben and Michael discuss how to use EDA in machine learning models.<br /><br />  In this episode...<br /><br /><ol><li>What is EDA?</li><li>Tips and Tricks and steps for EDA</li><li>How to approach downsampling</li><li>Understanding feature sets relative to your labels</li><li>Optimizing models</li><li>Motivating yourself to get into the data</li><li>Tools for EDA</li><li>A few scenarios for discussion</li><li>What is the most detrimental EDA mistake for ML</li></ol><br />Sponsors<br /><br /><ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/exploratory-data-analysis-eda-in-machine-learning-ml-075</guid><pubDate>Thu, 09 Jun 2022 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842203/stream.mp3" length="60491282" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>EDA is primarily used in machine learning to see what data can reveal beyond the formal modeling or hypothesis testing task and provides a better understanding of data set variables and the relationships between them. It can also help determine if the...</itunes:subtitle><itunes:summary><![CDATA[EDA is primarily used in machine learning to see what data can reveal beyond the formal modeling or hypothesis testing task and provides a better understanding of data set variables and the relationships between them. It can also help determine if the statistical techniques you are considering for data analysis are appropriate. Today on the show, Ben and Michael discuss how to use EDA in machine learning models.<br /><br />  In this episode...<br /><br /><ol><li>What is EDA?</li><li>Tips and Tricks and steps for EDA</li><li>How to approach downsampling</li><li>Understanding feature sets relative to your labels</li><li>Optimizing models</li><li>Motivating yourself to get into the data</li><li>Tools for EDA</li><li>A few scenarios for discussion</li><li>What is the most detrimental EDA mistake for ML</li></ol><br />Sponsors<br /><br /><ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2962</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Apache Spark (Pt. 2): MLlib - ML 074</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/apache-spark-pt-2-mllib-ml-074</link><description><![CDATA[MLlib is Apache Spark's scalable machine learning library. Today, Ben and Michael discuss the ease of use, performance, algorithms, and utilities included in this library and how to execute the best ML workflow with MLlib.<br /><br />  In this episode...<br /><br /><ol><li>Why stick with Spark libraries vs. a single node operation?</li><li>What algorithms are not in Spark Lib?</li><li>What is the min. package set to use for supervised learning?</li><li>Modeling and validation</li><li>Down-sampling your data</li><li>MLlib vs. scikit-learn</li><li>Resources</li></ol><br />Sponsors<br /><br /><ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul><br />Links<br /><br /><ul><li><a href="https://spark.apache.org/mllib/" target="_blank" rel="noreferrer noopener">MLlib | Apache Spark</a></li><li><a href="https://www.dominodatalab.com/data-science-dictionary/pyspark#:~:text=PySpark%20is%20the%20Python%20API,more%20scalable%20analyses%20and%20pipelines" target="_blank" rel="noreferrer noopener">What is PySpark? | Domino Data Science Dictionary</a></li><li><a href="https://archive.ics.uci.edu/ml/index.php" target="_blank" rel="noreferrer noopener">UCI Machine Learning Repository</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/apache-spark-pt-2-mllib-ml-074</guid><pubDate>Thu, 02 Jun 2022 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842145/stream.mp3" length="64260229" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>MLlib is Apache Spark's scalable machine learning library. Today, Ben and Michael discuss the ease of use, performance, algorithms, and utilities included in this library and how to execute the best ML workflow with MLlib.

  In this episode...


-...</itunes:subtitle><itunes:summary><![CDATA[MLlib is Apache Spark's scalable machine learning library. Today, Ben and Michael discuss the ease of use, performance, algorithms, and utilities included in this library and how to execute the best ML workflow with MLlib.<br /><br />  In this episode...<br /><br /><ol><li>Why stick with Spark libraries vs. a single node operation?</li><li>What algorithms are not in Spark Lib?</li><li>What is the min. package set to use for supervised learning?</li><li>Modeling and validation</li><li>Down-sampling your data</li><li>MLlib vs. scikit-learn</li><li>Resources</li></ol><br />Sponsors<br /><br /><ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul><br />Links<br /><br /><ul><li><a href="https://spark.apache.org/mllib/" target="_blank" rel="noreferrer noopener">MLlib | Apache Spark</a></li><li><a href="https://www.dominodatalab.com/data-science-dictionary/pyspark#:~:text=PySpark%20is%20the%20Python%20API,more%20scalable%20analyses%20and%20pipelines" target="_blank" rel="noreferrer noopener">What is PySpark? | Domino Data Science Dictionary</a></li><li><a href="https://archive.ics.uci.edu/ml/index.php" target="_blank" rel="noreferrer noopener">UCI Machine Learning Repository</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3150</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Apache Spark Integration and Platform Execution for ML - ML 073</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/apache-spark-integration-and-platform-execution-for-ml-ml-073</link><description><![CDATA[Apache Spark is a lightning-fast unified analytics engine for large-scale data processing and machine learning.  In this episode, Ben and Michael unpack Spark by ping-ponging questions and answers, supplemented by various examples applicable to machine learning workflows.  In this Episode…  <ol><li>How does Spark work?</li><li>What makes Apache Spark effective?</li><li>Dot repartition in Spark</li><li>Parallel processing systems</li><li>What is an aggregation in Spark sequel?</li><li>Analytics with Spark </li><li>What is MPP?</li><li>Testing for production</li><li>Spark algorithms</li></ol>  Sponsors  <ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul>Sponsored By:<ul><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a>: <a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Do you want to level up your career? or go freelance? or start a podcast or youtube channel?  Let Charles Max Wood Help You Achieve Your Dreams</a></li><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a>: <a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Learn to Become a Top 5% Developer.  Join our community of ambitious and engaged programmers to learn how.</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">63541b57-3541-4371-8e21-0c8bc1ebd69d</guid><pubDate>Thu, 26 May 2022 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842138/stream.mp3" length="47118480" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Apache Spark is a lightning-fast unified analytics engine for large-scale data processing and machine learning.  In this episode, Ben and Michael unpack Spark by ping-ponging questions and answers, supplemented by various examples applicable to...</itunes:subtitle><itunes:summary><![CDATA[Apache Spark is a lightning-fast unified analytics engine for large-scale data processing and machine learning.  In this episode, Ben and Michael unpack Spark by ping-ponging questions and answers, supplemented by various examples applicable to machine learning workflows.  In this Episode…  <ol><li>How does Spark work?</li><li>What makes Apache Spark effective?</li><li>Dot repartition in Spark</li><li>Parallel processing systems</li><li>What is an aggregation in Spark sequel?</li><li>Analytics with Spark </li><li>What is MPP?</li><li>Testing for production</li><li>Spark algorithms</li></ol>  Sponsors  <ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul>Sponsored By:<ul><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a>: <a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Do you want to level up your career? or go freelance? or start a podcast or youtube channel?  Let Charles Max Wood Help You Achieve Your Dreams</a></li><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a>: <a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Learn to Become a Top 5% Developer.  Join our community of ambitious and engaged programmers to learn how.</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2167</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Two Case Studies: Production ML infrastructure and Recommendation Engines - ML 072</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/two-case-studies-production-ml-infrastructure-and-recommendation-engines-ml-072</link><description><![CDATA[Ben and Michael walk through two different cases studies relative to production ML infrastructure and recommendation engines.  The first is about a free on-line tutoring service for underserved communities called “Learn to Be”, and the second centers around the online course provider “Coursera”.  Ben and Michael set up the case studies with fundamental problem statements, followed by their various approaches to executing the objectives to achieve the desired process outcomes.  Sponsors  <ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul>Sponsored By:<ul><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a>: <a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Do you want to level up your career? or go freelance? or start a podcast or youtube channel?  Let Charles Max Wood Help You Achieve Your Dreams</a></li><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a>: <a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Learn to Become a Top 5% Developer.  Join our community of ambitious and engaged programmers to learn how.</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">76703087-588b-4714-b42a-43229a44d20b</guid><pubDate>Wed, 18 May 2022 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842180/stream.mp3" length="67416526" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Ben and Michael walk through two different cases studies relative to production ML infrastructure and recommendation engines.  The first is about a free on-line tutoring service for underserved communities called “Learn to Be”, and the second centers...</itunes:subtitle><itunes:summary><![CDATA[Ben and Michael walk through two different cases studies relative to production ML infrastructure and recommendation engines.  The first is about a free on-line tutoring service for underserved communities called “Learn to Be”, and the second centers around the online course provider “Coursera”.  Ben and Michael set up the case studies with fundamental problem statements, followed by their various approaches to executing the objectives to achieve the desired process outcomes.  Sponsors  <ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul>Sponsored By:<ul><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a>: <a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Do you want to level up your career? or go freelance? or start a podcast or youtube channel?  Let Charles Max Wood Help You Achieve Your Dreams</a></li><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a>: <a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Learn to Become a Top 5% Developer.  Join our community of ambitious and engaged programmers to learn how.</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3181</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Using AI and ML to Help Humans, Not Replace Them - ML 071</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/using-ai-and-ml-to-help-humans-not-replace-them-ml-071</link><description><![CDATA[Ben interviews Michael Griffiths, Director of Data Science at ASAPP, a company leveraging AI and ML to augment and automate human work, improve operational efficiencies and customer experiences, and ultimately empower people to be their best.  Michael shares specific examples of how this can be done for human agent productivity within contact centers.  They also discuss fully human controlled vs automated systems, delivering value with AI and ML, and the future of AI driven technology.  In this Episode…  <ol><li>How do you deliver value with AI and ML?</li><li>Fully human controlled vs. fully automated systems</li><li>ML software engineering vs traditional software </li><li>Using static training data models and data validation</li><li>Communicating process improvements and failures </li><li>What is the future of ASAPP and AI driven technology?</li></ol>  Sponsors  <ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul>  Links  <ul><li><a href="https://www.kdnuggets.com/2022/03/level-system-help-forecast-ai-costs.html" target="_blank" rel="noreferrer noopener">How a Level System can Help Forecast AI Costs - KDnuggets</a></li><li><a href="https://www.asapp.com/ai-research/" target="_blank" rel="noreferrer noopener">AI Research - ASAPP</a></li><li><a href="https://www.asapp.com/" target="_blank" rel="noreferrer noopener">ASAPP</a></li></ul>Special Guest: Michael Griffiths.Sponsored By:<ul><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a>: <a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Do you want to level up your career? or go freelance? or start a podcast or youtube channel?  Let Charles Max Wood Help You Achieve Your Dreams</a></li><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a>: <a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Learn to Become a Top 5% Developer.  Join our community of ambitious and engaged programmers to learn how.</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">a1b1a490-efd7-404d-a2c8-8eb0cc29ff99</guid><pubDate>Thu, 12 May 2022 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842139/stream.mp3" length="56257048" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Ben interviews Michael Griffiths, Director of Data Science at ASAPP, a company leveraging AI and ML to augment and automate human work, improve operational efficiencies and customer experiences, and ultimately empower people to be their best.  Michael...</itunes:subtitle><itunes:summary><![CDATA[Ben interviews Michael Griffiths, Director of Data Science at ASAPP, a company leveraging AI and ML to augment and automate human work, improve operational efficiencies and customer experiences, and ultimately empower people to be their best.  Michael shares specific examples of how this can be done for human agent productivity within contact centers.  They also discuss fully human controlled vs automated systems, delivering value with AI and ML, and the future of AI driven technology.  In this Episode…  <ol><li>How do you deliver value with AI and ML?</li><li>Fully human controlled vs. fully automated systems</li><li>ML software engineering vs traditional software </li><li>Using static training data models and data validation</li><li>Communicating process improvements and failures </li><li>What is the future of ASAPP and AI driven technology?</li></ol>  Sponsors  <ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul>  Links  <ul><li><a href="https://www.kdnuggets.com/2022/03/level-system-help-forecast-ai-costs.html" target="_blank" rel="noreferrer noopener">How a Level System can Help Forecast AI Costs - KDnuggets</a></li><li><a href="https://www.asapp.com/ai-research/" target="_blank" rel="noreferrer noopener">AI Research - ASAPP</a></li><li><a href="https://www.asapp.com/" target="_blank" rel="noreferrer noopener">ASAPP</a></li></ul>Special Guest: Michael Griffiths.Sponsored By:<ul><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a>: <a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Do you want to level up your career? or go freelance? or start a podcast or youtube channel?  Let Charles Max Wood Help You Achieve Your Dreams</a></li><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a>: <a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Learn to Become a Top 5% Developer.  Join our community of ambitious and engaged programmers to learn how.</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2623</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>AutoML Discovery and Approach - ML 070</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/automl-discovery-and-approach-ml-070</link><description><![CDATA[AutoML (automated machine learning) has become a hot topic over the past few years. Abid Ali Awan joins the show to share his approach to AutoML, when and how to utilize it compared to classic approaches. Ben and Abid also discuss open-source vs. proprietary platforms.  What is AutoML?  Automated machine learning provides methods and processes to make machine learning available for non-machine learning experts, to improve efficiency of machine learning and to accelerate research on machine learning.  2 levels of implementation:  Blackbox AutoML can do one, or all of the things for feature selection with a statistical outset and self optimizing outcome.<br /> Whitebox AutoML exposes the code to explain how it behaves and allows you to produce predictions as to the influencing variables.  Leveraging open-source toolkits vs. proprietary  “The output is the model, the input is the data, and you can use that model to predict anything according to your business problem.”  - Abid Ali Awan  Sponsors  <ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul>  Links  <ul><li><a href="https://h2o.ai/" target="_blank" rel="noreferrer noopener">H2O.ai</a></li></ul>Special Guest:  Abid Ali Awan .Sponsored By:<ul><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a>: <a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Do you want to level up your career? or go freelance? or start a podcast or youtube channel?  Let Charles Max Wood Help You Achieve Your Dreams</a></li><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a>: <a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Learn to Become a Top 5% Developer.  Join our community of ambitious and engaged programmers to learn how.</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">1427e89d-d0e7-4665-83f4-2bd55331da7e</guid><pubDate>Wed, 04 May 2022 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842133/stream.mp3" length="56391992" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>AutoML (automated machine learning) has become a hot topic over the past few years. Abid Ali Awan joins the show to share his approach to AutoML, when and how to utilize it compared to classic approaches. Ben and Abid also discuss open-source vs....</itunes:subtitle><itunes:summary><![CDATA[AutoML (automated machine learning) has become a hot topic over the past few years. Abid Ali Awan joins the show to share his approach to AutoML, when and how to utilize it compared to classic approaches. Ben and Abid also discuss open-source vs. proprietary platforms.  What is AutoML?  Automated machine learning provides methods and processes to make machine learning available for non-machine learning experts, to improve efficiency of machine learning and to accelerate research on machine learning.  2 levels of implementation:  Blackbox AutoML can do one, or all of the things for feature selection with a statistical outset and self optimizing outcome.<br /> Whitebox AutoML exposes the code to explain how it behaves and allows you to produce predictions as to the influencing variables.  Leveraging open-source toolkits vs. proprietary  “The output is the model, the input is the data, and you can use that model to predict anything according to your business problem.”  - Abid Ali Awan  Sponsors  <ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul>  Links  <ul><li><a href="https://h2o.ai/" target="_blank" rel="noreferrer noopener">H2O.ai</a></li></ul>Special Guest:  Abid Ali Awan .Sponsored By:<ul><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a>: <a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Do you want to level up your career? or go freelance? or start a podcast or youtube channel?  Let Charles Max Wood Help You Achieve Your Dreams</a></li><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a>: <a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Learn to Become a Top 5% Developer.  Join our community of ambitious and engaged programmers to learn how.</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2630</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>For Sports and Beyond: Robotics and Advanced Cognitive Computing-Based Video Processing Algorithms - ML 069</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/for-sports-and-beyond-robotics-and-advanced-cognitive-computing-based-video-processing-algorithms-ml-069</link><description><![CDATA[Video is considered the most complicated data to process and the volumes of video production are growing from day to day. Ben and Michael talk with Oleg and Anastasiya about how to leverage robotics and advanced cognitive computing-based video processing algorithms to automate the most routine parts of editing and post-production. Specifically, they discuss American sports such as the NFL, NBA, and NHL, and how to use AI to automate sports highlight reels can automate content post-processing video analytics to save time and streamline employee workflows. This is an exciting video you won’t want to miss!  Sponsors  <ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul>Special Guest: Anastasiya Vishnevskaya.Sponsored By:<ul><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a>: <a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Do you want to level up your career? or go freelance? or start a podcast or youtube channel?  Let Charles Max Wood Help You Achieve Your Dreams</a></li><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a>: <a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Learn to Become a Top 5% Developer.  Join our community of ambitious and engaged programmers to learn how.</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">93247010-3eb7-4f19-8888-583cd2d15726</guid><pubDate>Thu, 28 Apr 2022 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842120/stream.mp3" length="64770707" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Video is considered the most complicated data to process and the volumes of video production are growing from day to day. Ben and Michael talk with Oleg and Anastasiya about how to leverage robotics and advanced cognitive computing-based video...</itunes:subtitle><itunes:summary><![CDATA[Video is considered the most complicated data to process and the volumes of video production are growing from day to day. Ben and Michael talk with Oleg and Anastasiya about how to leverage robotics and advanced cognitive computing-based video processing algorithms to automate the most routine parts of editing and post-production. Specifically, they discuss American sports such as the NFL, NBA, and NHL, and how to use AI to automate sports highlight reels can automate content post-processing video analytics to save time and streamline employee workflows. This is an exciting video you won’t want to miss!  Sponsors  <ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul>Special Guest: Anastasiya Vishnevskaya.Sponsored By:<ul><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a>: <a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Do you want to level up your career? or go freelance? or start a podcast or youtube channel?  Let Charles Max Wood Help You Achieve Your Dreams</a></li><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a>: <a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Learn to Become a Top 5% Developer.  Join our community of ambitious and engaged programmers to learn how.</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3049</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>How to Beef Up Your Resume - ML 068</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/how-to-beef-up-your-resume-ml-068</link><description><![CDATA[Michael and Ben talk about how to pick extra projects to build up your resume and become recognized as more of an expert.  They discuss the specific ways to contribute within the community and who to interact with to strengthen your resume if you're new.  Sponsors  <ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul>Sponsored By:<ul><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a>: <a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Do you want to level up your career? or go freelance? or start a podcast or youtube channel?  Let Charles Max Wood Help You Achieve Your Dreams</a></li><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a>: <a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Learn to Become a Top 5% Developer.  Join our community of ambitious and engaged programmers to learn how.</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">a9cac978-5321-4266-951a-29f4f0256043</guid><pubDate>Thu, 21 Apr 2022 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842166/stream.mp3" length="64030899" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Michael and Ben talk about how to pick extra projects to build up your resume and become recognized as more of an expert.  They discuss the specific ways to contribute within the community and who to interact with to strengthen your resume if you're...</itunes:subtitle><itunes:summary><![CDATA[Michael and Ben talk about how to pick extra projects to build up your resume and become recognized as more of an expert.  They discuss the specific ways to contribute within the community and who to interact with to strengthen your resume if you're new.  Sponsors  <ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul>Sponsored By:<ul><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a>: <a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Do you want to level up your career? or go freelance? or start a podcast or youtube channel?  Let Charles Max Wood Help You Achieve Your Dreams</a></li><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a>: <a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Learn to Become a Top 5% Developer.  Join our community of ambitious and engaged programmers to learn how.</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3012</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Training Bots, The Stock Market, and Hypotheticals - ML 067</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/training-bots-the-stock-market-and-hypotheticals-ml-067</link><description><![CDATA[Machine learning is getting bigger by the second, so it’s good to know how to leverage it. In this episode, Michael asks Ben hypothetical questions around how to effectively deploy machine learning in multiple fields, including the stock market.  In This Episode  1) How to get started in the stock market without having gobs of hedge fund money<br /> 2) The ONE thing you NEED to know before even starting a project in this space (or you’re wasting your time AND money)<br /> 3) The BEST way to leverage open source software and have a competitive advantage  Sponsors  <ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul>Sponsored By:<ul><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a>: <a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Do you want to level up your career? or go freelance? or start a podcast or youtube channel?  Let Charles Max Wood Help You Achieve Your Dreams</a></li><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a>: <a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Learn to Become a Top 5% Developer.  Join our community of ambitious and engaged programmers to learn how.</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">6b19e723-ef07-4605-850c-72127ede886f</guid><pubDate>Thu, 07 Apr 2022 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842154/stream.mp3" length="63220672" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Machine learning is getting bigger by the second, so it’s good to know how to leverage it. In this episode, Michael asks Ben hypothetical questions around how to effectively deploy machine learning in multiple fields, including the stock market.  In...</itunes:subtitle><itunes:summary><![CDATA[Machine learning is getting bigger by the second, so it’s good to know how to leverage it. In this episode, Michael asks Ben hypothetical questions around how to effectively deploy machine learning in multiple fields, including the stock market.  In This Episode  1) How to get started in the stock market without having gobs of hedge fund money<br /> 2) The ONE thing you NEED to know before even starting a project in this space (or you’re wasting your time AND money)<br /> 3) The BEST way to leverage open source software and have a competitive advantage  Sponsors  <ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul>Sponsored By:<ul><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a>: <a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Do you want to level up your career? or go freelance? or start a podcast or youtube channel?  Let Charles Max Wood Help You Achieve Your Dreams</a></li><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a>: <a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Learn to Become a Top 5% Developer.  Join our community of ambitious and engaged programmers to learn how.</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2972</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>How to Teach Kids Science with Kathryn Hulick - ML 066</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/how-to-teach-kids-science-with-kathryn-hulick-ml-066</link><description><![CDATA[What happens when you teach ML and data science to kids? You learn a whole lot, too. In this episode, Ben and Michael sit down with Kathryn, a prolific writer and author who simplifies advanced concepts for kids to foster their passion for science.  “I just love how curious kids are. I really connect with the questions they ask and how curious they are, so that’s why I love writing for them.”<br /> - Kathryn Hulick  In This Episode  1) What you NEED to remember when trying to teach complicated topics to kids<br /> 2) The BIGGEST misconception around AI that kids need to understand<br /> 3) How we can approach ML and data science to learn better (and how kids already do this!)  Sponsors  <ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul>Special Guest: Kathryn Hulick.Sponsored By:<ul><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a>: <a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Do you want to level up your career? or go freelance? or start a podcast or youtube channel?  Let Charles Max Wood Help You Achieve Your Dreams</a></li><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a>: <a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Learn to Become a Top 5% Developer.  Join our community of ambitious and engaged programmers to learn how.</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">f5617e47-d790-44e7-82f2-3c901215b0b8</guid><pubDate>Thu, 17 Mar 2022 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842090/stream.mp3" length="25043440" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>What happens when you teach ML and data science to kids? You learn a whole lot, too. In this episode, Ben and Michael sit down with Kathryn, a prolific writer and author who simplifies advanced concepts for kids to foster their passion for science....</itunes:subtitle><itunes:summary><![CDATA[What happens when you teach ML and data science to kids? You learn a whole lot, too. In this episode, Ben and Michael sit down with Kathryn, a prolific writer and author who simplifies advanced concepts for kids to foster their passion for science.  “I just love how curious kids are. I really connect with the questions they ask and how curious they are, so that’s why I love writing for them.”<br /> - Kathryn Hulick  In This Episode  1) What you NEED to remember when trying to teach complicated topics to kids<br /> 2) The BIGGEST misconception around AI that kids need to understand<br /> 3) How we can approach ML and data science to learn better (and how kids already do this!)  Sponsors  <ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul>Special Guest: Kathryn Hulick.Sponsored By:<ul><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a>: <a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Do you want to level up your career? or go freelance? or start a podcast or youtube channel?  Let Charles Max Wood Help You Achieve Your Dreams</a></li><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a>: <a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Learn to Become a Top 5% Developer.  Join our community of ambitious and engaged programmers to learn how.</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>1063</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Business Infrastructure in ML with Joe Reis - ML 065</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/business-infrastructure-in-ml-with-joe-reis-ml-065</link><description><![CDATA[Even an amazing algorithm can’t fix communication problems. In this episode, Ben and Michael sit down with Joe Reis, a data scientist and ML developer who’s passionate about helping people level up their communication and build solid business infrastructure.  “I feel like the infrastructure piece is getting better. Once you get past the technical layer, it’s about basic things like communication, no matter how much money is thrown into it.”<br /> - Joe Reis  In This Episode  1) SUPER exciting trends for data science for the first time in 10+ years<br /> 2) Why you NEED to have a marketing-focused approach in the ML space nowadays<br /> 3) The BIGGEST things you should consider when hiring and scaling to keep you business infrastructure intact  Sponsors  <ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul>  Links  <ul><li><a href="https://github.com/JoeReis" target="_blank" rel="noreferrer noopener">Joe Reis ( JoeReis )</a></li></ul>Sponsored By:<ul><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a>: <a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Do you want to level up your career? or go freelance? or start a podcast or youtube channel?  Let Charles Max Wood Help You Achieve Your Dreams</a></li><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a>: <a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Learn to Become a Top 5% Developer.  Join our community of ambitious and engaged programmers to learn how.</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">b5d41cb3-95c7-40c2-adb6-89a5eda65cd4</guid><pubDate>Wed, 09 Mar 2022 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842151/stream.mp3" length="76050971" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Even an amazing algorithm can’t fix communication problems. In this episode, Ben and Michael sit down with Joe Reis, a data scientist and ML developer who’s passionate about helping people level up their communication and build solid business...</itunes:subtitle><itunes:summary><![CDATA[Even an amazing algorithm can’t fix communication problems. In this episode, Ben and Michael sit down with Joe Reis, a data scientist and ML developer who’s passionate about helping people level up their communication and build solid business infrastructure.  “I feel like the infrastructure piece is getting better. Once you get past the technical layer, it’s about basic things like communication, no matter how much money is thrown into it.”<br /> - Joe Reis  In This Episode  1) SUPER exciting trends for data science for the first time in 10+ years<br /> 2) Why you NEED to have a marketing-focused approach in the ML space nowadays<br /> 3) The BIGGEST things you should consider when hiring and scaling to keep you business infrastructure intact  Sponsors  <ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul>  Links  <ul><li><a href="https://github.com/JoeReis" target="_blank" rel="noreferrer noopener">Joe Reis ( JoeReis )</a></li></ul>Sponsored By:<ul><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a>: <a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Do you want to level up your career? or go freelance? or start a podcast or youtube channel?  Let Charles Max Wood Help You Achieve Your Dreams</a></li><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a>: <a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Learn to Become a Top 5% Developer.  Join our community of ambitious and engaged programmers to learn how.</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3613</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Data Feeds and KDNuggets with Maria Zentsova - ML 064</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/data-feeds-and-kdnuggets-with-maria-zentsova-ml-064</link><description><![CDATA[Ever feel like you can’t see the forest through the trees? We get it. In this episode, Michael sits down with Maria Zentsova, an ML developer and data analyst who teaches us how to get a handle on our data.  “We all know that more data leads to more accuracy, so it’s important to get hands on.”<br /> - Maria Zentsova  In This Episode  1) What KDNuggets is making data science and machine learning easier this year<br /> 2) The Do’s and Don’ts of data feeds and analysis in 2022<br /> 3) Why understanding this ONE issue is the key to avoiding relevance issues and finding your way out of the weeds  Sponsors  <ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul>  Links  <ul><li><a href="https://www.kdnuggets.com/2021/11/build-serverless-news-data-pipeline-ml-aws-cloud.html" target="_blank" rel="noreferrer noopener">Build a Serverless News Data Pipeline using ML on AWS Cloud - KDnuggets</a> </li></ul>Special Guest: Maria Zentsova.Sponsored By:<ul><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a>: <a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Do you want to level up your career? or go freelance? or start a podcast or youtube channel?  Let Charles Max Wood Help You Achieve Your Dreams</a></li><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a>: <a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Learn to Become a Top 5% Developer.  Join our community of ambitious and engaged programmers to learn how.</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">f5cd33d5-3792-490d-b9b8-2fb011c0ac47</guid><pubDate>Thu, 03 Mar 2022 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842188/stream.mp3" length="53927248" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Ever feel like you can’t see the forest through the trees? We get it. In this episode, Michael sits down with Maria Zentsova, an ML developer and data analyst who teaches us how to get a handle on our data.  “We all know that more data leads to more...</itunes:subtitle><itunes:summary><![CDATA[Ever feel like you can’t see the forest through the trees? We get it. In this episode, Michael sits down with Maria Zentsova, an ML developer and data analyst who teaches us how to get a handle on our data.  “We all know that more data leads to more accuracy, so it’s important to get hands on.”<br /> - Maria Zentsova  In This Episode  1) What KDNuggets is making data science and machine learning easier this year<br /> 2) The Do’s and Don’ts of data feeds and analysis in 2022<br /> 3) Why understanding this ONE issue is the key to avoiding relevance issues and finding your way out of the weeds  Sponsors  <ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul>  Links  <ul><li><a href="https://www.kdnuggets.com/2021/11/build-serverless-news-data-pipeline-ml-aws-cloud.html" target="_blank" rel="noreferrer noopener">Build a Serverless News Data Pipeline using ML on AWS Cloud - KDnuggets</a> </li></ul>Special Guest: Maria Zentsova.Sponsored By:<ul><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a>: <a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Do you want to level up your career? or go freelance? or start a podcast or youtube channel?  Let Charles Max Wood Help You Achieve Your Dreams</a></li><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a>: <a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Learn to Become a Top 5% Developer.  Join our community of ambitious and engaged programmers to learn how.</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2507</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Rethinking ML Monitoring Part 2 - ML 063</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/rethinking-ml-monitoring-part-2-ml-063</link><description><![CDATA[In this episode, Ben and Michael cover more of Shreya Shankar’s deep dive into ML monitoring, including the biggest production challenges, what you NEED to know about adversarial attacks, and how to conduct effective tests and never make past mistakes again.  In This Episode  1) The BIGGEST production challenges when it comes to ML in 2022<br /> 2) What you NEED to know about adversarial attacks (and how to keep your model secure)<br /> 3) How to know if your model tests are actually preventing past mistakes  Sponsors  <ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul>Sponsored By:<ul><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a>: <a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Do you want to level up your career? or go freelance? or start a podcast or youtube channel?  Let Charles Max Wood Help You Achieve Your Dreams</a></li><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a>: <a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Learn to Become a Top 5% Developer.  Join our community of ambitious and engaged programmers to learn how.</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">3494423c-6377-4497-8fac-d8c176f5238f</guid><pubDate>Thu, 24 Feb 2022 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842168/stream.mp3" length="69724036" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>In this episode, Ben and Michael cover more of Shreya Shankar’s deep dive into ML monitoring, including the biggest production challenges, what you NEED to know about adversarial attacks, and how to conduct effective tests and never make past mistakes...</itunes:subtitle><itunes:summary><![CDATA[In this episode, Ben and Michael cover more of Shreya Shankar’s deep dive into ML monitoring, including the biggest production challenges, what you NEED to know about adversarial attacks, and how to conduct effective tests and never make past mistakes again.  In This Episode  1) The BIGGEST production challenges when it comes to ML in 2022<br /> 2) What you NEED to know about adversarial attacks (and how to keep your model secure)<br /> 3) How to know if your model tests are actually preventing past mistakes  Sponsors  <ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul>Sponsored By:<ul><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a>: <a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Do you want to level up your career? or go freelance? or start a podcast or youtube channel?  Let Charles Max Wood Help You Achieve Your Dreams</a></li><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a>: <a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Learn to Become a Top 5% Developer.  Join our community of ambitious and engaged programmers to learn how.</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3297</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>How To Do Post-Production with Abhilash Pattnaik - ML 062</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/how-to-do-post-production-with-abhilash-pattnaik-ml-062</link><description><![CDATA[If you’re feeling a little nervous about your baby leaving the nest, we get it. In this episode, Ben and Daniel talk with Abhilash Pattnaik, where they discuss the ONE fact about ML you can’t forget, the do’s and don’ts about applying alerts, and the often-forgotten truth about data drift.  “Machine learning models are not static; they are dynamic.”<br /> - Abhilash Pattnaik  In This Episode:<br /> 1) This one UNFORGETTABLE fact for anyone entering the machine learning world (especially if you have little experience)<br /> 2) What you NEED to remember about how to measure data accuracy and relevance<br /> 3) The Do’s and Don’ts of applying alerts within your models (and how NOT to make it problematic)<br /> 4) The often-ignored truth around data drift and why companies react well or poorly  Sponsors  <ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul>  Links  <ul><li><a href="https://censius.ai/" target="_blank" rel="noreferrer noopener">Censius</a></li></ul>Special Guest:  Abhilash Pattnaik.Sponsored By:<ul><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a>: <a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Do you want to level up your career? or go freelance? or start a podcast or youtube channel?  Let Charles Max Wood Help You Achieve Your Dreams</a></li><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a>: <a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Learn to Become a Top 5% Developer.  Join our community of ambitious and engaged programmers to learn how.</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">c59ed34b-cd96-475f-bcd0-99a75d2ccbfa</guid><pubDate>Fri, 18 Feb 2022 15:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842169/stream.mp3" length="53301024" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>If you’re feeling a little nervous about your baby leaving the nest, we get it. In this episode, Ben and Daniel talk with Abhilash Pattnaik, where they discuss the ONE fact about ML you can’t forget, the do’s and don’ts about applying alerts, and the...</itunes:subtitle><itunes:summary><![CDATA[If you’re feeling a little nervous about your baby leaving the nest, we get it. In this episode, Ben and Daniel talk with Abhilash Pattnaik, where they discuss the ONE fact about ML you can’t forget, the do’s and don’ts about applying alerts, and the often-forgotten truth about data drift.  “Machine learning models are not static; they are dynamic.”<br /> - Abhilash Pattnaik  In This Episode:<br /> 1) This one UNFORGETTABLE fact for anyone entering the machine learning world (especially if you have little experience)<br /> 2) What you NEED to remember about how to measure data accuracy and relevance<br /> 3) The Do’s and Don’ts of applying alerts within your models (and how NOT to make it problematic)<br /> 4) The often-ignored truth around data drift and why companies react well or poorly  Sponsors  <ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul>  Links  <ul><li><a href="https://censius.ai/" target="_blank" rel="noreferrer noopener">Censius</a></li></ul>Special Guest:  Abhilash Pattnaik.Sponsored By:<ul><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a>: <a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Do you want to level up your career? or go freelance? or start a podcast or youtube channel?  Let Charles Max Wood Help You Achieve Your Dreams</a></li><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a>: <a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Learn to Become a Top 5% Developer.  Join our community of ambitious and engaged programmers to learn how.</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2476</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Accurate Predictive Modeling with Maarit Widmann - ML 061</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/accurate-predictive-modeling-with-maarit-widmann-ml-061</link><description><![CDATA[Ready to dive DEEP into predictive modeling? You’ve come to the right podcast. In this episode, Ben and Michael sit down with Maarit Widmann, a data scientist whose bread and butter is making models more accurate. They discuss how to effectively use confusion matrices and other tools, why you need to avoid THIS misconception to get accurate churn rates, and the BIG question you should be asking if your data seems off.  “If your model is failing, it’s probably been adding up for two weeks already. Instead of monitoring the accuracy, monitor the features. Ask ‘is the data changing?’”<br /> - Maarit Widmann  In This Episode  1) The THREE techniques to help simplify these advanced concepts for beginners in the ML space (and why they need to know this stuff!)<br /> 2) Why you need to remember THIS misconception to avoid getting inaccurate churn rates from your models<br /> 3) How to effectively use confusion matrices, down sampling, and other popular tools for your models (and the biggest mistakes developers are making today)<br /> 4) The REAL question you need to ask yourself if your data seems off (and how this question helps prevent fraud!)  Sponsors  <ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul>Special Guest: Maarit Widmann.Sponsored By:<ul><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a>: <a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Do you want to level up your career? or go freelance? or start a podcast or youtube channel?  Let Charles Max Wood Help You Achieve Your Dreams</a></li><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a>: <a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Learn to Become a Top 5% Developer.  Join our community of ambitious and engaged programmers to learn how.</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">e8022dae-ef67-4b2f-b101-848910feaf6a</guid><pubDate>Thu, 10 Feb 2022 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842108/stream.mp3" length="56946412" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Ready to dive DEEP into predictive modeling? You’ve come to the right podcast. In this episode, Ben and Michael sit down with Maarit Widmann, a data scientist whose bread and butter is making models more accurate. They discuss how to effectively use...</itunes:subtitle><itunes:summary><![CDATA[Ready to dive DEEP into predictive modeling? You’ve come to the right podcast. In this episode, Ben and Michael sit down with Maarit Widmann, a data scientist whose bread and butter is making models more accurate. They discuss how to effectively use confusion matrices and other tools, why you need to avoid THIS misconception to get accurate churn rates, and the BIG question you should be asking if your data seems off.  “If your model is failing, it’s probably been adding up for two weeks already. Instead of monitoring the accuracy, monitor the features. Ask ‘is the data changing?’”<br /> - Maarit Widmann  In This Episode  1) The THREE techniques to help simplify these advanced concepts for beginners in the ML space (and why they need to know this stuff!)<br /> 2) Why you need to remember THIS misconception to avoid getting inaccurate churn rates from your models<br /> 3) How to effectively use confusion matrices, down sampling, and other popular tools for your models (and the biggest mistakes developers are making today)<br /> 4) The REAL question you need to ask yourself if your data seems off (and how this question helps prevent fraud!)  Sponsors  <ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul>Special Guest: Maarit Widmann.Sponsored By:<ul><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a>: <a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Do you want to level up your career? or go freelance? or start a podcast or youtube channel?  Let Charles Max Wood Help You Achieve Your Dreams</a></li><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a>: <a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Learn to Become a Top 5% Developer.  Join our community of ambitious and engaged programmers to learn how.</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2658</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Rethinking ML Monitoring - ML 060</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/rethinking-ml-monitoring-ml-060</link><description><![CDATA[Mo’ advancements mean mo’ problems, and today, Michael and Ben are diving into the biggest issues of ML monitoring in 2022. They lay out the ELEVEN (cause nothing good comes easy) potential pitfalls that you should know this year, the important questions that you NEED to ask yourself before launching your baby, and this ONE phenomenon that reveals a fundamental flaw in models versus the real deal.  In This Episode  <ol><li>The checklist of ELEVEN problems with ML monitoring that you need to consider in 2022</li><li>Why THIS is inevitable with ML monitoring no matter what (and why it’s not the end of the world…unless you make it)</li><li>Before you make an assumptions about your model, ask yourself THESE questions and tread carefully</li><li>This ONE phenomenon that reveals a HUGE flaw in models vs. real world </li></ol>  Sponsors  <ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul>Sponsored By:<ul><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a>: <a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Do you want to level up your career? or go freelance? or start a podcast or youtube channel?  Let Charles Max Wood Help You Achieve Your Dreams</a></li><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a>: <a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Learn to Become a Top 5% Developer.  Join our community of ambitious and engaged programmers to learn how.</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">95a4b9cf-57f7-4efa-8e6b-0519711738cd</guid><pubDate>Thu, 03 Feb 2022 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842142/stream.mp3" length="46755879" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Mo’ advancements mean mo’ problems, and today, Michael and Ben are diving into the biggest issues of ML monitoring in 2022. They lay out the ELEVEN (cause nothing good comes easy) potential pitfalls that you should know this year, the important...</itunes:subtitle><itunes:summary><![CDATA[Mo’ advancements mean mo’ problems, and today, Michael and Ben are diving into the biggest issues of ML monitoring in 2022. They lay out the ELEVEN (cause nothing good comes easy) potential pitfalls that you should know this year, the important questions that you NEED to ask yourself before launching your baby, and this ONE phenomenon that reveals a fundamental flaw in models versus the real deal.  In This Episode  <ol><li>The checklist of ELEVEN problems with ML monitoring that you need to consider in 2022</li><li>Why THIS is inevitable with ML monitoring no matter what (and why it’s not the end of the world…unless you make it)</li><li>Before you make an assumptions about your model, ask yourself THESE questions and tread carefully</li><li>This ONE phenomenon that reveals a HUGE flaw in models vs. real world </li></ol>  Sponsors  <ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul>Sponsored By:<ul><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a>: <a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Do you want to level up your career? or go freelance? or start a podcast or youtube channel?  Let Charles Max Wood Help You Achieve Your Dreams</a></li><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a>: <a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Learn to Become a Top 5% Developer.  Join our community of ambitious and engaged programmers to learn how.</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2148</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Solving the Real Issues with the MLflow Team - ML 059</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/solving-the-real-issues-with-the-mlflow-team-ml-059weichen-xu</link><description><![CDATA[If you’re looking for a team that actually cares about the issues you’re facing, look no further than Databricks, and they’ve got something exciting out. In this episode, Michael and Ben welcome on the development team of MLflow, an open-source lifecycle manager for machine learning. They cover how Databricks is redefining how developers and engineers collaborate, the reason behind Databricks’ crazy success, and the number ONE most important testing structure for any development team.  “A lot of the success was attributed to process and dedicated focus on the interface, understanding what major problems we were going after. ”<br /> - Corey Zumar  In This Episode  How Databricks allows data analysis, engineers, and developers to collaborate effectively<br /> Why Databricks was able to rake in 800,000 downloads per MONTH in their first year<br /> A simple but powerful methodology that helps Databrick identify the highest ROI problems to tackle (not just the most popular ones)<br /> The number one MOST important testing structure that reveals how Databricks keeps their work top-notch<br /> What makes Databricks unique from everyone else and is the KEY to putting users first in 2022  Sponsors  <ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul>Special Guests: Corey Zumar, Harutaka Kawamura, Weichen Xu, and Zhang Jin.Sponsored By:<ul><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a>: <a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Do you want to level up your career? or go freelance? or start a podcast or youtube channel?  Let Charles Max Wood Help You Achieve Your Dreams</a></li><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a>: <a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Learn to Become a Top 5% Developer.  Join our community of ambitious and engaged programmers to learn how.</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">42195693-1654-4bfb-be53-1f0bde97aeed</guid><pubDate>Thu, 27 Jan 2022 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842210/stream.mp3" length="62079891" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>If you’re looking for a team that actually cares about the issues you’re facing, look no further than Databricks, and they’ve got something exciting out. In this episode, Michael and Ben welcome on the development team of MLflow, an open-source...</itunes:subtitle><itunes:summary><![CDATA[If you’re looking for a team that actually cares about the issues you’re facing, look no further than Databricks, and they’ve got something exciting out. In this episode, Michael and Ben welcome on the development team of MLflow, an open-source lifecycle manager for machine learning. They cover how Databricks is redefining how developers and engineers collaborate, the reason behind Databricks’ crazy success, and the number ONE most important testing structure for any development team.  “A lot of the success was attributed to process and dedicated focus on the interface, understanding what major problems we were going after. ”<br /> - Corey Zumar  In This Episode  How Databricks allows data analysis, engineers, and developers to collaborate effectively<br /> Why Databricks was able to rake in 800,000 downloads per MONTH in their first year<br /> A simple but powerful methodology that helps Databrick identify the highest ROI problems to tackle (not just the most popular ones)<br /> The number one MOST important testing structure that reveals how Databricks keeps their work top-notch<br /> What makes Databricks unique from everyone else and is the KEY to putting users first in 2022  Sponsors  <ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul>Special Guests: Corey Zumar, Harutaka Kawamura, Weichen Xu, and Zhang Jin.Sponsored By:<ul><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a>: <a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Do you want to level up your career? or go freelance? or start a podcast or youtube channel?  Let Charles Max Wood Help You Achieve Your Dreams</a></li><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a>: <a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Learn to Become a Top 5% Developer.  Join our community of ambitious and engaged programmers to learn how.</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2915</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Cows, Camels, and the Human Brain - ML 058</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/cows-camels-and-the-human-brain-ml-058</link><description><![CDATA[What do cows and camels have to do with the human brain? The latest developments in machine learning, of course! In this episode, Michael and Ben dive into a new white paper from Facebook AI researchers that reveals a LOT about the future of modeling. They discuss “cows and camels”, the question of predictive vs causal modeling, and how algorithms are getting scary good at emulating the human brain these days.  In This Episode  Why Facebook’s new research is VERY exciting for AI learning and causality (but what does it have to do with cows and camels?)<br /> The answer to “Is predictive or causal modeling more accurate?” (and why it’s not the best question to ask)<br /> Not sure if you need machine learning or just plain data modeling? Michael lays it out for you<br /> What algorithms are learning about human behavior to accurately emulate the human brain in 2022 and beyond  Sponsors  <ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul>Sponsored By:<ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a>: <a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Learn to Become a Top 5% Developer.  Join our community of ambitious and engaged programmers to learn how.</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a>: <a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Do you want to level up your career? or go freelance? or start a podcast or youtube channel?  Let Charles Max Wood Help You Achieve Your Dreams</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">b768b468-07ba-4eb0-9e31-27d29b431970</guid><pubDate>Thu, 20 Jan 2022 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842150/stream.mp3" length="57366360" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>What do cows and camels have to do with the human brain? The latest developments in machine learning, of course! In this episode, Michael and Ben dive into a new white paper from Facebook AI researchers that reveals a LOT about the future of modeling....</itunes:subtitle><itunes:summary><![CDATA[What do cows and camels have to do with the human brain? The latest developments in machine learning, of course! In this episode, Michael and Ben dive into a new white paper from Facebook AI researchers that reveals a LOT about the future of modeling. They discuss “cows and camels”, the question of predictive vs causal modeling, and how algorithms are getting scary good at emulating the human brain these days.  In This Episode  Why Facebook’s new research is VERY exciting for AI learning and causality (but what does it have to do with cows and camels?)<br /> The answer to “Is predictive or causal modeling more accurate?” (and why it’s not the best question to ask)<br /> Not sure if you need machine learning or just plain data modeling? Michael lays it out for you<br /> What algorithms are learning about human behavior to accurately emulate the human brain in 2022 and beyond  Sponsors  <ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul>Sponsored By:<ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a>: <a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Learn to Become a Top 5% Developer.  Join our community of ambitious and engaged programmers to learn how.</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a>: <a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Do you want to level up your career? or go freelance? or start a podcast or youtube channel?  Let Charles Max Wood Help You Achieve Your Dreams</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2679</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Business Objectives and KPIs with Michael Berk</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/business-objectives-and-kpis-with-michael-berk</link><description><![CDATA[Want to know how businesses are measuring their success nowadays? In this episode, Ben talks with Michael Berk about how businesses are leveraging numerous performance metrics to stay on top of their game. The two emphasize what your FIRST step should be, why A/B testing is not just for marketers, and the “elephant in the room” that determines how KPIs should be integrated.  “It’s the chicken or the egg problem. It’s important to think about what model you’ll potentially use as you build out these pipelines. Step 1 is defining the business objective.”  <ul><li>Michael Berk</li></ul>  In This Episode:<br /> Before you focus on the pipeline or the model, Michael warns you to put THIS first on your checklist<br /> Why A/B testing is SO powerful and not just for marketers<br /> The #1 takeaway that will change how you implement KPIs<br /> Michael hammers home why “your data is only as good as your model” and why there’s no shortcut around it<br /> The “elephant in the room” that determines the what, who, and how of data analysis in any business   <br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">faac2588-f691-475d-a421-54714110a0c2</guid><pubDate>Thu, 06 Jan 2022 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842152/stream.mp3" length="55142502" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Want to know how businesses are measuring their success nowadays? In this episode, Ben talks with Michael Berk about how businesses are leveraging numerous performance metrics to stay on top of their game. The two emphasize what your FIRST step should...</itunes:subtitle><itunes:summary><![CDATA[Want to know how businesses are measuring their success nowadays? In this episode, Ben talks with Michael Berk about how businesses are leveraging numerous performance metrics to stay on top of their game. The two emphasize what your FIRST step should be, why A/B testing is not just for marketers, and the “elephant in the room” that determines how KPIs should be integrated.  “It’s the chicken or the egg problem. It’s important to think about what model you’ll potentially use as you build out these pipelines. Step 1 is defining the business objective.”  <ul><li>Michael Berk</li></ul>  In This Episode:<br /> Before you focus on the pipeline or the model, Michael warns you to put THIS first on your checklist<br /> Why A/B testing is SO powerful and not just for marketers<br /> The #1 takeaway that will change how you implement KPIs<br /> Michael hammers home why “your data is only as good as your model” and why there’s no shortcut around it<br /> The “elephant in the room” that determines the what, who, and how of data analysis in any business   <br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2568</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Prediction Intervals - ML 056</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/prediction-intervals-ml-056</link><description><![CDATA[Michael and Ben talk about Prediction Intervals. They discuss how to put intervals around your predictions and then aiming for a certain level of confidence.   Michael and Ben discuss how to put it together and how to use it.  Panel  <ul><li>Ben Wilson</li><li>Michael Berk</li></ul>  Sponsors  <ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">a88efe1d-b618-4e0c-b25f-995846cf9567</guid><pubDate>Thu, 16 Dec 2021 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842118/stream.mp3" length="45688150" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Michael and Ben talk about Prediction Intervals. They discuss how to put intervals around your predictions and then aiming for a certain level of confidence.   Michael and Ben discuss how to put it together and how to use it.  Panel  
- Ben Wilson
-...</itunes:subtitle><itunes:summary><![CDATA[Michael and Ben talk about Prediction Intervals. They discuss how to put intervals around your predictions and then aiming for a certain level of confidence.   Michael and Ben discuss how to put it together and how to use it.  Panel  <ul><li>Ben Wilson</li><li>Michael Berk</li></ul>  Sponsors  <ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2095</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>3 Fundamental Pillars You Need to Succeed as an Entrepreneur - BONUS</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/3-fundamental-pillars-you-need-to-succeed-as-an-entrepreneur-bonus-bca68d4e-0b8a-447c-8989-a46325491b42</link><description><![CDATA[<a href="https://devchat.tv/great" target="_blank" rel="noreferrer noopener">Get Lifetime Access to Mani's Entrepreneurship Pack and Book Club</a>. Use coupon code "GREAT"  Mani has summarized hundreds of business books that outline how to build, grow, and operate a business and he shares his expertise with Chuck and the listeners in this special episode.  Chuck and Mani discuss what it takes to be a successful entrepreneur. They talk about their businesses on a regular basis and Chuck's been getting a lot of requests for entrepreneurship help.  He and Mani talk about the 3 primary things that add momentum to your business and help you keep the momentum up when setbacks come your way.  <a href="https://devchat.tv/great" target="_blank" rel="noreferrer noopener">Get Lifetime Access to Mani's Entrepreneurship Pack and Book Club</a>. Use coupon code "GREAT"Special Guest: Mani Vaya.   <br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">3452bbde-6dc7-4f7f-93d2-0e4f71f07eae</guid><pubDate>Tue, 14 Dec 2021 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842195/stream.mp3" length="81947608" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>https://devchat.tv/great. Use coupon code "GREAT"  Mani has summarized hundreds of business books that outline how to build, grow, and operate a business and he shares his expertise with Chuck and the listeners in this special episode.  Chuck and Mani...</itunes:subtitle><itunes:summary><![CDATA[<a href="https://devchat.tv/great" target="_blank" rel="noreferrer noopener">Get Lifetime Access to Mani's Entrepreneurship Pack and Book Club</a>. Use coupon code "GREAT"  Mani has summarized hundreds of business books that outline how to build, grow, and operate a business and he shares his expertise with Chuck and the listeners in this special episode.  Chuck and Mani discuss what it takes to be a successful entrepreneur. They talk about their businesses on a regular basis and Chuck's been getting a lot of requests for entrepreneurship help.  He and Mani talk about the 3 primary things that add momentum to your business and help you keep the momentum up when setbacks come your way.  <a href="https://devchat.tv/great" target="_blank" rel="noreferrer noopener">Get Lifetime Access to Mani's Entrepreneurship Pack and Book Club</a>. Use coupon code "GREAT"Special Guest: Mani Vaya.   <br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3908</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>How to Integrate ML and Data Science Systems to Web and Mobile Apps - ML 055</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/how-to-integrate-ml-and-data-science-systems-to-web-and-mobile-apps-ml-055</link><description><![CDATA[Ben and Chuck put their areas of expertise together to discuss how you could build Machine Learning into web and mobile applications.      They discuss the various ways data scientists and Machine Learning engineers can use their expertise to build engines and provide data and results to web and mobile developers.      Panel      <ul><li>Ben Wilson</li><li>Charles Max Wood</li></ul>      Sponsors      <ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul>      Picks      <ul><li>Ben- <a href="https://amzn.to/3xKrKOw" target="_blank" rel="noreferrer noopener">Frank Herbert's Dune Saga 3-Book</a></li><li>Charles- <a href="https://amzn.to/3ofHA0z" target="_blank" rel="noreferrer noopener">The Well of Ascension</a></li><li>Charles- <a href="https://amzn.to/3rqPNRD" target="_blank" rel="noreferrer noopener">Traffic Secrets</a></li><li>Charles-  <a href="https://amzn.to/3lsFs3I" target="_blank" rel="noreferrer noopener">Steampunk Rally Fusion</a></li><li>Charles- <a href="http://topenddevs.com/author" target="_blank" rel="noreferrer noopener">Author | Top End Devs</a></li></ul>  Sponsored By:<ul><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a>: <a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Do you want to level up your career? or go freelance? or start a podcast or youtube channel?  Let Charles Max Wood Help You Achieve Your Dreams</a></li><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a>: <a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Learn to Become a Top 5% Developer.  Join our community of ambitious and engaged programmers to learn how.</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">6632e8e0-6b85-47b9-a2fa-dc96ed639fda</guid><pubDate>Thu, 02 Dec 2021 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842220/stream.mp3" length="78089491" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Ben and Chuck put their areas of expertise together to discuss how you could build Machine Learning into web and mobile applications.      They discuss the various ways data scientists and Machine Learning engineers can use their expertise to build...</itunes:subtitle><itunes:summary><![CDATA[Ben and Chuck put their areas of expertise together to discuss how you could build Machine Learning into web and mobile applications.      They discuss the various ways data scientists and Machine Learning engineers can use their expertise to build engines and provide data and results to web and mobile developers.      Panel      <ul><li>Ben Wilson</li><li>Charles Max Wood</li></ul>      Sponsors      <ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul>      Picks      <ul><li>Ben- <a href="https://amzn.to/3xKrKOw" target="_blank" rel="noreferrer noopener">Frank Herbert's Dune Saga 3-Book</a></li><li>Charles- <a href="https://amzn.to/3ofHA0z" target="_blank" rel="noreferrer noopener">The Well of Ascension</a></li><li>Charles- <a href="https://amzn.to/3rqPNRD" target="_blank" rel="noreferrer noopener">Traffic Secrets</a></li><li>Charles-  <a href="https://amzn.to/3lsFs3I" target="_blank" rel="noreferrer noopener">Steampunk Rally Fusion</a></li><li>Charles- <a href="http://topenddevs.com/author" target="_blank" rel="noreferrer noopener">Author | Top End Devs</a></li></ul>  Sponsored By:<ul><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a>: <a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Do you want to level up your career? or go freelance? or start a podcast or youtube channel?  Let Charles Max Wood Help You Achieve Your Dreams</a></li><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a>: <a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Learn to Become a Top 5% Developer.  Join our community of ambitious and engaged programmers to learn how.</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3715</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>BONUS: How to do LARGE Volumes of HIGH Quality Work - While Spending Fewer Hours Working</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/bonus-how-to-do-large-volumes-of-high-quality-work-while-spending-fewer-hours-working-2c9e5f0f-1bad-4cfc-831b-34077feee2a1</link><description><![CDATA[    <a href="https://devchat.tv/deep" target="_blank" rel="noreferrer noopener">Get the Black Friday/Cyber Monday "Double Your Productivity by 5pm Today" Deal</a><br /> Coupon Code: "DEEP" for a GIANT discount    Mani provides us with strategies and tactics to get Deep Work time and how to get our minds into that focused state for hours at a time.    He has read hundreds of books that have taught him the secrets to getting more done by getting into this state.    He starts by telling us how he was passed over for a promotion at Qualcomm in favor of someone younger and less experienced and how that inspired him to figure out what the other guy was doing differently. He learned that he needed to get more done with the time he was spending on his projects.    The trick? Deep Work!    Deep Work is the ability to spend uninterrupted, focused time on a task to bend your entire mind toward the goal.    Other developers call it "Flow" or "the Zone."    Mani provides us with strategies and tactics to get Deep Work time and how to get our minds into that focused state for hours at a time.     <a href="https://devchat.tv/deep" target="_blank" rel="noreferrer noopener">Get the Black Friday/Cyber Monday "Double Your Productivity by 5pm Today" Deal</a><br /> Coupon Code: "DEEP" for a GIANT discount     <br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">576a23f9-d124-48ca-8ea1-2ede4bf7ec52</guid><pubDate>Thu, 25 Nov 2021 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842213/stream.mp3" length="60656421" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>    https://devchat.tv/deep
 Coupon Code: "DEEP" for a GIANT discount    Mani provides us with strategies and tactics to get Deep Work time and how to get our minds into that focused state for hours at a time.    He has read hundreds of books that...</itunes:subtitle><itunes:summary><![CDATA[    <a href="https://devchat.tv/deep" target="_blank" rel="noreferrer noopener">Get the Black Friday/Cyber Monday "Double Your Productivity by 5pm Today" Deal</a><br /> Coupon Code: "DEEP" for a GIANT discount    Mani provides us with strategies and tactics to get Deep Work time and how to get our minds into that focused state for hours at a time.    He has read hundreds of books that have taught him the secrets to getting more done by getting into this state.    He starts by telling us how he was passed over for a promotion at Qualcomm in favor of someone younger and less experienced and how that inspired him to figure out what the other guy was doing differently. He learned that he needed to get more done with the time he was spending on his projects.    The trick? Deep Work!    Deep Work is the ability to spend uninterrupted, focused time on a task to bend your entire mind toward the goal.    Other developers call it "Flow" or "the Zone."    Mani provides us with strategies and tactics to get Deep Work time and how to get our minds into that focused state for hours at a time.     <a href="https://devchat.tv/deep" target="_blank" rel="noreferrer noopener">Get the Black Friday/Cyber Monday "Double Your Productivity by 5pm Today" Deal</a><br /> Coupon Code: "DEEP" for a GIANT discount     <br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2843</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Tools, Tricks, and Learning in Machine Learning ft. Aliaksei Mikhailiuk - ML 054</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/tools-tricks-and-learning-in-machine-learning-ft-aliaksei-mikhailiuk-ml-054</link><description><![CDATA[Aliaksei Mikhailiuk joins the Adventure to discuss the tools he wishes he'd mastered before getting his PhD in Machine Learning.      However, the conversation meanders through his background, what qualifications people should have, algorithms, and approaches to machine learning along with the tools discussion.      Panel      <ul><li>Ben Wilson</li><li>Charles Max Wood</li><li>Michael Berk</li></ul>      Guest      <ul><li>Aliaksei Mikhailiuk</li></ul>      Sponsors      <ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul>      Links      <ul><li><a href="https://www.kdnuggets.com/2021/09/nine-tools-mastered-before-phd-machine-learning.html" target="_blank" rel="noreferrer noopener">Nine Tools I Wish I Mastered Before My PhD in Machine Learning</a></li><li><a href="https://mikhailiuk.github.io/" target="_blank" rel="noreferrer noopener">Aliaksei Mikhailiuk</a></li><li><a href="https://mikhailiuk.medium.com/" target="_blank" rel="noreferrer noopener">Aliaksei Mikhailiuk - Medium</a></li><li><a href="https://www.linkedin.com/in/aliakseimikhailiuk/" target="_blank" rel="noreferrer noopener">LinkedIn: Aliaksei Mikhailiuk</a></li><li><a href="https://twitter.com/mikhailiuka?lang=en" target="_blank" rel="noreferrer noopener">Twitter: Aliaksei Mikhailiuk,PhD ( @mikhailiuka )</a></li></ul>      Picks      <ul><li>Aliaksei- <a href="https://www.kdnuggets.com/2020/04/double-descent-hypothesis-bigger-models-more-data-hurt-performance.html" target="_blank" rel="noreferrer noopener">The Double Descent Hypothesis</a></li><li>Ben- <a href="https://mikhailiuk.medium.com/" target="_blank" rel="noreferrer noopener">Aliaksei Mikhailiuk - Medium</a></li><li>Charles- <a href="https://boardgamegeek.com/boardgame/24068/shadow-hunters" target="_blank" rel="noreferrer noopener">Shadow Hunters | Board Game | BoardGameGeek</a></li><li>Charles- <a href="https://topenddevs.com/author" target="_blank" rel="noreferrer noopener">Author | Top End Devs</a></li><li>Charles- <a href="https://www.xero.com/" target="_blank" rel="noreferrer noopener">Xero</a></li><li>Charles- <a href="https://stripe.com/" target="_blank" rel="noreferrer noopener">Stripe</a></li><li>Michael- Increase track pad or mouse speed to the Maximum</li></ul>  Special Guest: Aliaksei Mikhailiuk.Sponsored By:<ul><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a>: <a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Do you want to level up your career? or go freelance? or start a podcast or youtube channel?  Let Charles Max Wood Help You Achieve Your Dreams</a></li><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a>: <a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Learn to Become a Top 5% Developer.  Join our community of ambitious and engaged programmers to learn how.</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">e11f6726-8caf-4707-a585-f8ddc3551425</guid><pubDate>Thu, 18 Nov 2021 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842181/stream.mp3" length="70396435" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Aliaksei Mikhailiuk joins the Adventure to discuss the tools he wishes he'd mastered before getting his PhD in Machine Learning.      However, the conversation meanders through his background, what qualifications people should have, algorithms, and...</itunes:subtitle><itunes:summary><![CDATA[Aliaksei Mikhailiuk joins the Adventure to discuss the tools he wishes he'd mastered before getting his PhD in Machine Learning.      However, the conversation meanders through his background, what qualifications people should have, algorithms, and approaches to machine learning along with the tools discussion.      Panel      <ul><li>Ben Wilson</li><li>Charles Max Wood</li><li>Michael Berk</li></ul>      Guest      <ul><li>Aliaksei Mikhailiuk</li></ul>      Sponsors      <ul><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li></ul>      Links      <ul><li><a href="https://www.kdnuggets.com/2021/09/nine-tools-mastered-before-phd-machine-learning.html" target="_blank" rel="noreferrer noopener">Nine Tools I Wish I Mastered Before My PhD in Machine Learning</a></li><li><a href="https://mikhailiuk.github.io/" target="_blank" rel="noreferrer noopener">Aliaksei Mikhailiuk</a></li><li><a href="https://mikhailiuk.medium.com/" target="_blank" rel="noreferrer noopener">Aliaksei Mikhailiuk - Medium</a></li><li><a href="https://www.linkedin.com/in/aliakseimikhailiuk/" target="_blank" rel="noreferrer noopener">LinkedIn: Aliaksei Mikhailiuk</a></li><li><a href="https://twitter.com/mikhailiuka?lang=en" target="_blank" rel="noreferrer noopener">Twitter: Aliaksei Mikhailiuk,PhD ( @mikhailiuka )</a></li></ul>      Picks      <ul><li>Aliaksei- <a href="https://www.kdnuggets.com/2020/04/double-descent-hypothesis-bigger-models-more-data-hurt-performance.html" target="_blank" rel="noreferrer noopener">The Double Descent Hypothesis</a></li><li>Ben- <a href="https://mikhailiuk.medium.com/" target="_blank" rel="noreferrer noopener">Aliaksei Mikhailiuk - Medium</a></li><li>Charles- <a href="https://boardgamegeek.com/boardgame/24068/shadow-hunters" target="_blank" rel="noreferrer noopener">Shadow Hunters | Board Game | BoardGameGeek</a></li><li>Charles- <a href="https://topenddevs.com/author" target="_blank" rel="noreferrer noopener">Author | Top End Devs</a></li><li>Charles- <a href="https://www.xero.com/" target="_blank" rel="noreferrer noopener">Xero</a></li><li>Charles- <a href="https://stripe.com/" target="_blank" rel="noreferrer noopener">Stripe</a></li><li>Michael- Increase track pad or mouse speed to the Maximum</li></ul>  Special Guest: Aliaksei Mikhailiuk.Sponsored By:<ul><li><a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a>: <a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Do you want to level up your career? or go freelance? or start a podcast or youtube channel?  Let Charles Max Wood Help You Achieve Your Dreams</a></li><li><a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a>: <a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Learn to Become a Top 5% Developer.  Join our community of ambitious and engaged programmers to learn how.</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3330</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>A/B Testing with ML ft. Michael Berk - ML 053</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/a-b-testing-with-ml-ft-michael-berk-ml-053</link><description><![CDATA[Michael Berk joins the adventure to discuss how he uses Machine Learning within the context of A/B testing features within applications and how to know when you have a viable test option for your setup.      Panel      <ul><li>Ben Wilson</li><li>Charles Max Wood</li></ul>      Guest      <ul><li>Michael Berk</li></ul>      Sponsors      <ul><li><a href="https://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a></li><li><a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">Level Up | Devchat.tv</a></li></ul>      Links      <ul><li><a href="https://www.kdnuggets.com/2021/09/weaknesses-machine-learning-models.html" target="_blank" rel="noreferrer noopener">How to Find Weaknesses in your Machine Learning Models</a></li><li><a href="https://www.linkedin.com/in/michael-berk-48783a146/" target="_blank" rel="noreferrer noopener">LinkedIn: Michael Berk</a></li><li><a href="https://michaelberk.medium.com/" target="_blank" rel="noreferrer noopener">Michael Berk - Medium</a></li></ul>      Picks      <ul><li>Ben- <a href="https://amzn.to/3Hf5n8n" target="_blank" rel="noreferrer noopener">David Thorne Books</a></li><li>Charles- <a href="https://boardgamegeek.com/boardgame/24068/shadow-hunters" target="_blank" rel="noreferrer noopener">Shadow Hunter</a></li><li>Charles- <a href="http://topenddevs.com" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li>Charles- <a href="https://topenddevs.com/author" target="_blank" rel="noreferrer noopener">Become an Author | Top End Devs</a></li><li>Charles- <a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li><li>Michael- <a href="http://people.eecs.berkeley.edu/~russell/" target="_blank" rel="noreferrer noopener">Stuart Russell</a></li></ul>      Contact Ben:      <ul><li><a href="https://databricks.com/" target="_blank" rel="noreferrer noopener">Databricks</a></li><li><a href="https://github.com/BenWilson2/ML-Engineering" target="_blank" rel="noreferrer noopener">GitHub | BenWilson2/ML-Engineering</a></li><li><a href="https://github.com/databrickslabs/automl-toolkit" target="_blank" rel="noreferrer noopener">GitHub | databrickslabs/automl-toolkit</a></li><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn: Benjamin Wilson</a></li></ul>      Contact Charles:      <ul><li><a href="https://devchat.tv/" target="_blank" rel="noreferrer noopener">Devchat.tv</a></li><li><a href="https://www.facebook.com/DevChattv/" target="_blank" rel="noreferrer noopener">DevChat.tv | Facebook</a></li><li><a href="https://twitter.com/devchattv" target="_blank" rel="noreferrer noopener">Twitter: DevChat.tv ( @devchattv )</a></li></ul>  Special Guest: Michael Berk.Sponsored By:<ul><li><a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">Top End Devs Coaching</a>: <a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">If you have questions about how to grow your skills or take your career to the next level, join us on our next weekly coaching call. It's completely free.</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">7e802db7-e8f7-498d-b129-f4b53f134f55</guid><pubDate>Thu, 11 Nov 2021 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842186/stream.mp3" length="62267572" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Michael Berk joins the adventure to discuss how he uses Machine Learning within the context of A/B testing features within applications and how to know when you have a viable test option for your setup.      Panel      
- Ben Wilson
- Charles Max Wood...</itunes:subtitle><itunes:summary><![CDATA[Michael Berk joins the adventure to discuss how he uses Machine Learning within the context of A/B testing features within applications and how to know when you have a viable test option for your setup.      Panel      <ul><li>Ben Wilson</li><li>Charles Max Wood</li></ul>      Guest      <ul><li>Michael Berk</li></ul>      Sponsors      <ul><li><a href="https://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a></li><li><a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">Level Up | Devchat.tv</a></li></ul>      Links      <ul><li><a href="https://www.kdnuggets.com/2021/09/weaknesses-machine-learning-models.html" target="_blank" rel="noreferrer noopener">How to Find Weaknesses in your Machine Learning Models</a></li><li><a href="https://www.linkedin.com/in/michael-berk-48783a146/" target="_blank" rel="noreferrer noopener">LinkedIn: Michael Berk</a></li><li><a href="https://michaelberk.medium.com/" target="_blank" rel="noreferrer noopener">Michael Berk - Medium</a></li></ul>      Picks      <ul><li>Ben- <a href="https://amzn.to/3Hf5n8n" target="_blank" rel="noreferrer noopener">David Thorne Books</a></li><li>Charles- <a href="https://boardgamegeek.com/boardgame/24068/shadow-hunters" target="_blank" rel="noreferrer noopener">Shadow Hunter</a></li><li>Charles- <a href="http://topenddevs.com" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li>Charles- <a href="https://topenddevs.com/author" target="_blank" rel="noreferrer noopener">Become an Author | Top End Devs</a></li><li>Charles- <a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li><li>Michael- <a href="http://people.eecs.berkeley.edu/~russell/" target="_blank" rel="noreferrer noopener">Stuart Russell</a></li></ul>      Contact Ben:      <ul><li><a href="https://databricks.com/" target="_blank" rel="noreferrer noopener">Databricks</a></li><li><a href="https://github.com/BenWilson2/ML-Engineering" target="_blank" rel="noreferrer noopener">GitHub | BenWilson2/ML-Engineering</a></li><li><a href="https://github.com/databrickslabs/automl-toolkit" target="_blank" rel="noreferrer noopener">GitHub | databrickslabs/automl-toolkit</a></li><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn: Benjamin Wilson</a></li></ul>      Contact Charles:      <ul><li><a href="https://devchat.tv/" target="_blank" rel="noreferrer noopener">Devchat.tv</a></li><li><a href="https://www.facebook.com/DevChattv/" target="_blank" rel="noreferrer noopener">DevChat.tv | Facebook</a></li><li><a href="https://twitter.com/devchattv" target="_blank" rel="noreferrer noopener">Twitter: DevChat.tv ( @devchattv )</a></li></ul>  Special Guest: Michael Berk.Sponsored By:<ul><li><a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">Top End Devs Coaching</a>: <a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">If you have questions about how to grow your skills or take your career to the next level, join us on our next weekly coaching call. It's completely free.</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2924</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Data Paradoxes in Data Sets with Pier Paolo Ippolito - ML 052</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/data-paradoxes-in-data-sets-with-pier-paolo-ippolito-ml-052</link><description><![CDATA[Pier Paolo Ippolito joins the adventure to discuss some of the paradoxes or counterintuitive generalizations people make about their datasets. Ben, Chuck, and Pier dive into how to look at statistical data and how to identify trends in the data.      Panel      <ul><li>Ben Wilson</li><li>Charles Max Wood</li></ul>      Guest      <ul><li>Pier Paolo Ippolito</li></ul>      Sponsors      <ul><li><a href="https://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a></li><li><a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">Level Up | Devchat.tv</a></li></ul>      Links      <ul><li><a href="https://www.kdnuggets.com/2021/09/paradoxes-data-science.html" target="_blank" rel="noreferrer noopener">Paradoxes in Data Science</a></li><li><a href="https://linktr.ee/pierpaolo28" target="_blank" rel="noreferrer noopener">Pier Paolo Ippolito</a></li><li><a href="https://twitter.com/Pier_Paolo_28" target="_blank" rel="noreferrer noopener">Twitter: Pier Paolo Ippolito( @Pier_Paolo_28 )</a></li></ul>      Picks      <ul><li>Ben- <a href="https://realpython.com/python-type-checking/" target="_blank" rel="noreferrer noopener">Python Type Checking </a></li><li>Charles- <a href="https://amzn.to/3H6LJv6" target="_blank" rel="noreferrer noopener">The 360 Degree Leader</a></li><li>Charles- <a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li>Charles- <a href="https://topenddevs.com/author" target="_blank" rel="noreferrer noopener">Become An Author | Top End Devs</a></li><li>Charles- <a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li><li>Charles- <a href="https://amzn.to/31JpCe9" target="_blank" rel="noreferrer noopener">The Search for Planet X</a></li></ul>      Contact Ben:      <ul><li><a href="https://databricks.com/" target="_blank" rel="noreferrer noopener">Databricks</a></li><li><a href="https://github.com/BenWilson2/ML-Engineering" target="_blank" rel="noreferrer noopener">GitHub | BenWilson2/ML-Engineering</a></li><li><a href="https://github.com/databrickslabs/automl-toolkit" target="_blank" rel="noreferrer noopener">GitHub | databrickslabs/automl-toolkit</a></li><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn: Benjamin Wilson</a></li></ul>      Contact Charles:      <ul><li><a href="https://devchat.tv/" target="_blank" rel="noreferrer noopener">Devchat.tv</a></li><li><a href="https://www.facebook.com/DevChattv/" target="_blank" rel="noreferrer noopener">DevChat.tv | Facebook</a></li><li><a href="https://twitter.com/devchattv" target="_blank" rel="noreferrer noopener">Twitter: DevChat.tv ( @devchattv )</a></li></ul>  Special Guest: Pier Paolo Ippolito.Sponsored By:<ul><li><a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">Top End Devs Coaching</a>: <a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">If you have questions about how to grow your skills or take your career to the next level, join us on our next weekly coaching call. It's completely free.</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">452cf597-4c46-40f4-ab3c-2b9dc3a3caa3</guid><pubDate>Thu, 04 Nov 2021 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842207/stream.mp3" length="73867676" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Pier Paolo Ippolito joins the adventure to discuss some of the paradoxes or counterintuitive generalizations people make about their datasets. Ben, Chuck, and Pier dive into how to look at statistical data and how to identify trends in the data....</itunes:subtitle><itunes:summary><![CDATA[Pier Paolo Ippolito joins the adventure to discuss some of the paradoxes or counterintuitive generalizations people make about their datasets. Ben, Chuck, and Pier dive into how to look at statistical data and how to identify trends in the data.      Panel      <ul><li>Ben Wilson</li><li>Charles Max Wood</li></ul>      Guest      <ul><li>Pier Paolo Ippolito</li></ul>      Sponsors      <ul><li><a href="https://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a></li><li><a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">Level Up | Devchat.tv</a></li></ul>      Links      <ul><li><a href="https://www.kdnuggets.com/2021/09/paradoxes-data-science.html" target="_blank" rel="noreferrer noopener">Paradoxes in Data Science</a></li><li><a href="https://linktr.ee/pierpaolo28" target="_blank" rel="noreferrer noopener">Pier Paolo Ippolito</a></li><li><a href="https://twitter.com/Pier_Paolo_28" target="_blank" rel="noreferrer noopener">Twitter: Pier Paolo Ippolito( @Pier_Paolo_28 )</a></li></ul>      Picks      <ul><li>Ben- <a href="https://realpython.com/python-type-checking/" target="_blank" rel="noreferrer noopener">Python Type Checking </a></li><li>Charles- <a href="https://amzn.to/3H6LJv6" target="_blank" rel="noreferrer noopener">The 360 Degree Leader</a></li><li>Charles- <a href="https://topenddevs.com/" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li>Charles- <a href="https://topenddevs.com/author" target="_blank" rel="noreferrer noopener">Become An Author | Top End Devs</a></li><li>Charles- <a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li><li>Charles- <a href="https://amzn.to/31JpCe9" target="_blank" rel="noreferrer noopener">The Search for Planet X</a></li></ul>      Contact Ben:      <ul><li><a href="https://databricks.com/" target="_blank" rel="noreferrer noopener">Databricks</a></li><li><a href="https://github.com/BenWilson2/ML-Engineering" target="_blank" rel="noreferrer noopener">GitHub | BenWilson2/ML-Engineering</a></li><li><a href="https://github.com/databrickslabs/automl-toolkit" target="_blank" rel="noreferrer noopener">GitHub | databrickslabs/automl-toolkit</a></li><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn: Benjamin Wilson</a></li></ul>      Contact Charles:      <ul><li><a href="https://devchat.tv/" target="_blank" rel="noreferrer noopener">Devchat.tv</a></li><li><a href="https://www.facebook.com/DevChattv/" target="_blank" rel="noreferrer noopener">DevChat.tv | Facebook</a></li><li><a href="https://twitter.com/devchattv" target="_blank" rel="noreferrer noopener">Twitter: DevChat.tv ( @devchattv )</a></li></ul>  Special Guest: Pier Paolo Ippolito.Sponsored By:<ul><li><a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">Top End Devs Coaching</a>: <a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">If you have questions about how to grow your skills or take your career to the next level, join us on our next weekly coaching call. It's completely free.</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3504</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Testing Your MLOps - ML 051</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/testing-your-mlops-ml-051</link><description><![CDATA[The panel jumps in to attempt to break your mental build regarding testing your ML Ops. They advocate for good testing practices around your code and systems and discuss how you can reliable test the various parts of your applications including your Machine Learning models.      Panel      <ul><li>Ben Wilson</li><li>Charles Max Wood</li><li>Francois Bertrand</li></ul>      Sponsors      <ul><li><a href="https://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a></li><li><a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">Level Up | Devchat.tv</a></li></ul>      Picks      <ul><li>Ben- <a href="https://www.cs.toronto.edu/~delve/data/boston/bostonDetail.html" target="_blank" rel="noreferrer noopener">The Boston Housing Dataset</a></li><li>Charles- <a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li><li>Charles- <a href="https://amzn.to/3bett4q" target="_blank" rel="noreferrer noopener">The 360 Degree Leader</a></li><li>Charles- <a href="https://amzn.to/3pKyp9G" target="_blank" rel="noreferrer noopener">The Laws of Wealth: Psychology and the Secret to Investing Success </a></li><li>Francois- <a href="https://www.imdb.com/title/tt1160419/" target="_blank" rel="noreferrer noopener">Dune</a></li></ul>      Contact Ben:      <ul><li><a href="https://databricks.com/" target="_blank" rel="noreferrer noopener">Databricks</a></li><li><a href="https://github.com/BenWilson2/ML-Engineering" target="_blank" rel="noreferrer noopener">GitHub | BenWilson2/ML-Engineering</a></li><li><a href="https://github.com/databrickslabs/automl-toolkit" target="_blank" rel="noreferrer noopener">GitHub | databrickslabs/automl-toolkit</a></li><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn: Benjamin Wilson</a></li></ul>      Contact Charles:      <ul><li><a href="https://devchat.tv/" target="_blank" rel="noreferrer noopener">Devchat.tv</a></li><li><a href="https://www.facebook.com/DevChattv/" target="_blank" rel="noreferrer noopener">DevChat.tv | Facebook</a></li><li><a href="https://twitter.com/devchattv" target="_blank" rel="noreferrer noopener">Twitter: DevChat.tv ( @devchattv )</a></li></ul>      Contact Francois:      <ul><li><a href="https://www.fbdesignpro.com/" target="_blank" rel="noreferrer noopener">Francois Bertrand</a></li><li><a href="https://github.com/fbdesignpro/sweetviz" target="_blank" rel="noreferrer noopener">GitHub | fbdesignpro/sweetviz</a></li></ul>  Sponsored By:<ul><li><a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">Top End Devs Coaching</a>: <a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">If you have questions about how to grow your skills or take your career to the next level, join us on our next weekly coaching call. It's completely free.</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">69fb14ae-8ada-4d09-a1ef-7d3af6a06e54</guid><pubDate>Thu, 28 Oct 2021 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842125/stream.mp3" length="71555727" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>The panel jumps in to attempt to break your mental build regarding testing your ML Ops. They advocate for good testing practices around your code and systems and discuss how you can reliable test the various parts of your applications including your...</itunes:subtitle><itunes:summary><![CDATA[The panel jumps in to attempt to break your mental build regarding testing your ML Ops. They advocate for good testing practices around your code and systems and discuss how you can reliable test the various parts of your applications including your Machine Learning models.      Panel      <ul><li>Ben Wilson</li><li>Charles Max Wood</li><li>Francois Bertrand</li></ul>      Sponsors      <ul><li><a href="https://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a></li><li><a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">Level Up | Devchat.tv</a></li></ul>      Picks      <ul><li>Ben- <a href="https://www.cs.toronto.edu/~delve/data/boston/bostonDetail.html" target="_blank" rel="noreferrer noopener">The Boston Housing Dataset</a></li><li>Charles- <a href="https://topenddevs.com/coaching" target="_blank" rel="noreferrer noopener">Coaching | Top End Devs</a></li><li>Charles- <a href="https://amzn.to/3bett4q" target="_blank" rel="noreferrer noopener">The 360 Degree Leader</a></li><li>Charles- <a href="https://amzn.to/3pKyp9G" target="_blank" rel="noreferrer noopener">The Laws of Wealth: Psychology and the Secret to Investing Success </a></li><li>Francois- <a href="https://www.imdb.com/title/tt1160419/" target="_blank" rel="noreferrer noopener">Dune</a></li></ul>      Contact Ben:      <ul><li><a href="https://databricks.com/" target="_blank" rel="noreferrer noopener">Databricks</a></li><li><a href="https://github.com/BenWilson2/ML-Engineering" target="_blank" rel="noreferrer noopener">GitHub | BenWilson2/ML-Engineering</a></li><li><a href="https://github.com/databrickslabs/automl-toolkit" target="_blank" rel="noreferrer noopener">GitHub | databrickslabs/automl-toolkit</a></li><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn: Benjamin Wilson</a></li></ul>      Contact Charles:      <ul><li><a href="https://devchat.tv/" target="_blank" rel="noreferrer noopener">Devchat.tv</a></li><li><a href="https://www.facebook.com/DevChattv/" target="_blank" rel="noreferrer noopener">DevChat.tv | Facebook</a></li><li><a href="https://twitter.com/devchattv" target="_blank" rel="noreferrer noopener">Twitter: DevChat.tv ( @devchattv )</a></li></ul>      Contact Francois:      <ul><li><a href="https://www.fbdesignpro.com/" target="_blank" rel="noreferrer noopener">Francois Bertrand</a></li><li><a href="https://github.com/fbdesignpro/sweetviz" target="_blank" rel="noreferrer noopener">GitHub | fbdesignpro/sweetviz</a></li></ul>  Sponsored By:<ul><li><a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">Top End Devs Coaching</a>: <a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">If you have questions about how to grow your skills or take your career to the next level, join us on our next weekly coaching call. It's completely free.</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3388</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Deploying Your Machine Learning Models with FastAPI ft. Ahmad Mustafa Anis - ML 050</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/deploying-your-machine-learning-models-with-fastapi-ft-ahmad-mustafa-anis-ml-050</link><description><![CDATA[Ahmad Mustafa Anis joins the adventure to discuss how he deploys his Machine Learning models using FastAPI.  FastAPI is a system for connecting and running Python programs. If your model is built in Python, you can use FastAPI to deploy to Heroku or similar services.    Panel      <ul><li>Ben Wilson</li><li>Charles Max Wood</li><li>Francois Bertrand</li></ul>      Guest      <ul><li>Ahmad Mustafa Anis</li></ul>      Sponsors      <ul><li><a href="https://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a></li><li><a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">Level Up | Devchat.tv</a></li></ul>      Links      <ul><li><a href="https://www.kdnuggets.com/2021/04/deploy-machine-learning-models-to-web.html" target="_blank" rel="noreferrer noopener">How to deploy Machine Learning/Deep Learning models to the web</a></li><li><a href="https://ocdevel.com/mlg" target="_blank" rel="noreferrer noopener">Machine Learning Guide Podcast</a></li><li><a href="https://cnvrg.io/author/ahmad-anis/" target="_blank" rel="noreferrer noopener">Ahmad Anis, Author at cnvrg</a></li><li><a href="https://www.kdnuggets.com/author/ahmad-anis" target="_blank" rel="noreferrer noopener">Ahmad Anis - KDnuggets</a></li><li><a href="https://www.linkedin.com/in/ahmad-anis-82496618b/" target="_blank" rel="noreferrer noopener">LinkedIn: Ahmad Anis</a></li><li><a href="https://github.com/ahmadmustafaanis/" target="_blank" rel="noreferrer noopener">GitHub: Ahmad Mustafa Anis ( ahmadmustafaanis ) </a></li><li><a href="https://twitter.com/AhmadMustafaAn1" target="_blank" rel="noreferrer noopener">Twitter: Ahmad Mustafa Anis ( @AhmadMustafaAn1 )</a></li></ul>      Picks      <ul><li>Ahmad- <a href="https://amzn.to/3jGu17V" target="_blank" rel="noreferrer noopener">Deep Learning for Coders with Fastai and PyTorch</a></li><li>Ben- <a href="https://amzn.to/3nhHGDh" target="_blank" rel="noreferrer noopener">Arcadia: A Novel</a></li><li>Charles- <a href="https://javascriptjabber.com/280" target="_blank" rel="noreferrer noopener">JSJ 278 Machine Learning with Tyler Renelle</a></li><li>Charles- <a href="https://amzn.to/3vxT0yJ" target="_blank" rel="noreferrer noopener">X: Multiply Your God-Given Potential </a></li><li>Charles- <a href="https://amzn.to/30Nwff1" target="_blank" rel="noreferrer noopener">The Art of Impossible: A Peak Performance Primer </a></li><li>Charles- <a href="https://amzn.to/3plNj5W" target="_blank" rel="noreferrer noopener">Lost Ruins of Arnak</a></li><li>Charles- <a href="https://boardgamegeek.com/boardgame/162007/steampunk-rally" target="_blank" rel="noreferrer noopener">Steampunk Rally </a></li><li>Charles- <a href="https://boardgamegeek.com/boardgame/316622/gods-love-dinosaurs" target="_blank" rel="noreferrer noopener">Gods Love Dinosaurs </a></li><li>Francois- <a href="https://amzn.to/3jlHP7B" target="_blank" rel="noreferrer noopener">Will and Vision: How Latecomers Grow to Dominate Markets</a></li></ul>      Contact Ben:      <ul><li><a href="https://databricks.com/" target="_blank" rel="noreferrer noopener">Databricks</a></li><li><a href="https://github.com/BenWilson2/ML-Engineering" target="_blank" rel="noreferrer noopener">GitHub | BenWilson2/ML-Engineering</a></li><li><a href="https://github.com/databrickslabs/automl-toolkit" target="_blank" rel="noreferrer noopener">GitHub | databrickslabs/automl-toolkit</a></li><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn: Benjamin Wilson</a></li></ul>      Contact Charles:      <ul><li><a href="https://devchat.tv/" target="_blank" rel="noreferrer noopener">Devchat.tv</a></li><li><a href="https://www.facebook.com/DevChattv/" target="_blank" rel="noreferrer noopener">DevChat.tv | Facebook</a></li><li><a href="https://twitter.com/devchattv" target="_blank" rel="noreferrer noopener">Twitter: DevChat.tv ( @devchattv )</a></li></ul>      Contact Francois:      <ul><li><a href="https://www.fbdesignpro.com/" target="_blank" rel="noreferrer noopener">Francois Bertrand</a></li><li><a href="https://github.com/fbdesignpro/sweetviz" target="_blank" rel="noreferrer noopener">GitHub | fbdesignpro/sweetviz</a></li></ul>  Special Guest: Ahmad Mustafa Anis.Sponsored By:<ul><li><a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">Top End Devs Coaching</a>: <a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">If you have questions about how to grow your skills or take your career to the next level, join us on our next weekly coaching call. It's completely free.</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">b7d8f44b-c0e0-412a-92ef-3cecbb34cf81</guid><pubDate>Thu, 21 Oct 2021 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842185/stream.mp3" length="66228582" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Ahmad Mustafa Anis joins the adventure to discuss how he deploys his Machine Learning models using FastAPI.  FastAPI is a system for connecting and running Python programs. If your model is built in Python, you can use FastAPI to deploy to Heroku or...</itunes:subtitle><itunes:summary><![CDATA[Ahmad Mustafa Anis joins the adventure to discuss how he deploys his Machine Learning models using FastAPI.  FastAPI is a system for connecting and running Python programs. If your model is built in Python, you can use FastAPI to deploy to Heroku or similar services.    Panel      <ul><li>Ben Wilson</li><li>Charles Max Wood</li><li>Francois Bertrand</li></ul>      Guest      <ul><li>Ahmad Mustafa Anis</li></ul>      Sponsors      <ul><li><a href="https://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a></li><li><a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">Level Up | Devchat.tv</a></li></ul>      Links      <ul><li><a href="https://www.kdnuggets.com/2021/04/deploy-machine-learning-models-to-web.html" target="_blank" rel="noreferrer noopener">How to deploy Machine Learning/Deep Learning models to the web</a></li><li><a href="https://ocdevel.com/mlg" target="_blank" rel="noreferrer noopener">Machine Learning Guide Podcast</a></li><li><a href="https://cnvrg.io/author/ahmad-anis/" target="_blank" rel="noreferrer noopener">Ahmad Anis, Author at cnvrg</a></li><li><a href="https://www.kdnuggets.com/author/ahmad-anis" target="_blank" rel="noreferrer noopener">Ahmad Anis - KDnuggets</a></li><li><a href="https://www.linkedin.com/in/ahmad-anis-82496618b/" target="_blank" rel="noreferrer noopener">LinkedIn: Ahmad Anis</a></li><li><a href="https://github.com/ahmadmustafaanis/" target="_blank" rel="noreferrer noopener">GitHub: Ahmad Mustafa Anis ( ahmadmustafaanis ) </a></li><li><a href="https://twitter.com/AhmadMustafaAn1" target="_blank" rel="noreferrer noopener">Twitter: Ahmad Mustafa Anis ( @AhmadMustafaAn1 )</a></li></ul>      Picks      <ul><li>Ahmad- <a href="https://amzn.to/3jGu17V" target="_blank" rel="noreferrer noopener">Deep Learning for Coders with Fastai and PyTorch</a></li><li>Ben- <a href="https://amzn.to/3nhHGDh" target="_blank" rel="noreferrer noopener">Arcadia: A Novel</a></li><li>Charles- <a href="https://javascriptjabber.com/280" target="_blank" rel="noreferrer noopener">JSJ 278 Machine Learning with Tyler Renelle</a></li><li>Charles- <a href="https://amzn.to/3vxT0yJ" target="_blank" rel="noreferrer noopener">X: Multiply Your God-Given Potential </a></li><li>Charles- <a href="https://amzn.to/30Nwff1" target="_blank" rel="noreferrer noopener">The Art of Impossible: A Peak Performance Primer </a></li><li>Charles- <a href="https://amzn.to/3plNj5W" target="_blank" rel="noreferrer noopener">Lost Ruins of Arnak</a></li><li>Charles- <a href="https://boardgamegeek.com/boardgame/162007/steampunk-rally" target="_blank" rel="noreferrer noopener">Steampunk Rally </a></li><li>Charles- <a href="https://boardgamegeek.com/boardgame/316622/gods-love-dinosaurs" target="_blank" rel="noreferrer noopener">Gods Love Dinosaurs </a></li><li>Francois- <a href="https://amzn.to/3jlHP7B" target="_blank" rel="noreferrer noopener">Will and Vision: How Latecomers Grow to Dominate Markets</a></li></ul>      Contact Ben:      <ul><li><a href="https://databricks.com/" target="_blank" rel="noreferrer noopener">Databricks</a></li><li><a href="https://github.com/BenWilson2/ML-Engineering" target="_blank" rel="noreferrer noopener">GitHub | BenWilson2/ML-Engineering</a></li><li><a href="https://github.com/databrickslabs/automl-toolkit" target="_blank" rel="noreferrer noopener">GitHub | databrickslabs/automl-toolkit</a></li><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn: Benjamin Wilson</a></li></ul>      Contact Charles:      <ul><li><a href="https://devchat.tv/" target="_blank" rel="noreferrer noopener">Devchat.tv</a></li><li><a href="https://www.facebook.com/DevChattv/" target="_blank" rel="noreferrer noopener">DevChat.tv | Facebook</a></li><li><a href="https://twitter.com/devchattv" target="_blank" rel="noreferrer noopener">Twitter: DevChat.tv ( @devchattv )</a></li></ul>      Contact Francois:...]]></itunes:summary><itunes:duration>3122</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Monitoring and Evaluating Data Sets ft. Emeli Dral and Elena Samuylova - ML 049</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/monitoring-and-evaluating-data-sets-ft-emeli-dral-and-elena-samuylova-ml-049</link><description><![CDATA[Emeli Dral and Elena Samuylova joins the Adventure to discuss the tools they have built to monitor data quality to determine where data problems occur, what they mean, and how to fix them.      Panel      <ul><li>Ben Wilson</li><li>Francois Bertrand</li></ul>      Guest      <ul><li>Elena Samuylova</li><li>Emeli Dral</li></ul>      Sponsors      <ul><li><a href="https://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a></li><li><a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">Level Up | Devchat.tv</a></li><li><a href="http://podcastbootcamp.io/" target="_blank" rel="noreferrer noopener">PodcastBootcamp.io</a></li></ul>      Links      <ul><li><a href="https://evidentlyai.com/" target="_blank" rel="noreferrer noopener">Evidently AI</a></li><li><a href="https://www.kdnuggets.com/2021/07/retrain-machine-learning-model-5-checks-decide-schedule.html" target="_blank" rel="noreferrer noopener">When to Retrain an Machine Learning Model? Run these 5 checks to decide on the schedule</a></li><li><a href="https://github.com/evidentlyai/evidently" target="_blank" rel="noreferrer noopener">GitHub | evidentlyai/evidently</a></li><li><a href="https://www.linkedin.com/in/elenasamuylova/" target="_blank" rel="noreferrer noopener">LinkedIn: Elena Samuylova</a></li><li><a href="https://twitter.com/elenasamuylova" target="_blank" rel="noreferrer noopener">Twitter: Elena Samuylova ( @elenasamuylova )</a></li><li><a href="https://www.linkedin.com/in/emelidral/" target="_blank" rel="noreferrer noopener">LinkedIn: Emeli Dral</a></li><li><a href="https://twitter.com/EmeliDral" target="_blank" rel="noreferrer noopener">Twitter: Emeli Dral ( @EmeliDral )</a></li></ul>      Contact Ben:      <ul><li><a href="https://databricks.com/" target="_blank" rel="noreferrer noopener">Databricks</a></li><li><a href="https://github.com/BenWilson2/ML-Engineering" target="_blank" rel="noreferrer noopener">GitHub | BenWilson2/ML-Engineering</a></li><li><a href="https://github.com/databrickslabs/automl-toolkit" target="_blank" rel="noreferrer noopener">GitHub | databrickslabs/automl-toolkit</a></li><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn: Benjamin Wilson</a></li></ul>      Contact Francois:      <ul><li><a href="https://www.fbdesignpro.com/" target="_blank" rel="noreferrer noopener">Francois Bertrand</a></li><li><a href="https://github.com/fbdesignpro/sweetviz" target="_blank" rel="noreferrer noopener">GitHub | fbdesignpro/sweetviz</a></li></ul>  Special Guests: Elena Samuylova and Emeli Dral.Sponsored By:<ul><li><a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">Top End Devs Coaching</a>: <a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">If you have questions about how to grow your skills or take your career to the next level, join us on our next weekly coaching call. It's completely free.</a></li><li><a href="https://podcastbootcamp.io/" target="_blank" rel="noreferrer noopener">Podcast Bootcamp</a>: <a href="https://podcastbootcamp.io/" target="_blank" rel="noreferrer noopener">Launch an Amazing Sounding Podcast in just 4 WEEKS! Work with a 13 year podcasting veteran to get your podcast started off on the right foot! </a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">e69d319c-9167-4ca6-ab78-817bb0dffdfd</guid><pubDate>Thu, 14 Oct 2021 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842116/stream.mp3" length="24744184" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Emeli Dral and Elena Samuylova joins the Adventure to discuss the tools they have built to monitor data quality to determine where data problems occur, what they mean, and how to fix them.      Panel      
- Ben Wilson
- Francois Bertrand
      Guest...</itunes:subtitle><itunes:summary><![CDATA[Emeli Dral and Elena Samuylova joins the Adventure to discuss the tools they have built to monitor data quality to determine where data problems occur, what they mean, and how to fix them.      Panel      <ul><li>Ben Wilson</li><li>Francois Bertrand</li></ul>      Guest      <ul><li>Elena Samuylova</li><li>Emeli Dral</li></ul>      Sponsors      <ul><li><a href="https://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a></li><li><a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">Level Up | Devchat.tv</a></li><li><a href="http://podcastbootcamp.io/" target="_blank" rel="noreferrer noopener">PodcastBootcamp.io</a></li></ul>      Links      <ul><li><a href="https://evidentlyai.com/" target="_blank" rel="noreferrer noopener">Evidently AI</a></li><li><a href="https://www.kdnuggets.com/2021/07/retrain-machine-learning-model-5-checks-decide-schedule.html" target="_blank" rel="noreferrer noopener">When to Retrain an Machine Learning Model? Run these 5 checks to decide on the schedule</a></li><li><a href="https://github.com/evidentlyai/evidently" target="_blank" rel="noreferrer noopener">GitHub | evidentlyai/evidently</a></li><li><a href="https://www.linkedin.com/in/elenasamuylova/" target="_blank" rel="noreferrer noopener">LinkedIn: Elena Samuylova</a></li><li><a href="https://twitter.com/elenasamuylova" target="_blank" rel="noreferrer noopener">Twitter: Elena Samuylova ( @elenasamuylova )</a></li><li><a href="https://www.linkedin.com/in/emelidral/" target="_blank" rel="noreferrer noopener">LinkedIn: Emeli Dral</a></li><li><a href="https://twitter.com/EmeliDral" target="_blank" rel="noreferrer noopener">Twitter: Emeli Dral ( @EmeliDral )</a></li></ul>      Contact Ben:      <ul><li><a href="https://databricks.com/" target="_blank" rel="noreferrer noopener">Databricks</a></li><li><a href="https://github.com/BenWilson2/ML-Engineering" target="_blank" rel="noreferrer noopener">GitHub | BenWilson2/ML-Engineering</a></li><li><a href="https://github.com/databrickslabs/automl-toolkit" target="_blank" rel="noreferrer noopener">GitHub | databrickslabs/automl-toolkit</a></li><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn: Benjamin Wilson</a></li></ul>      Contact Francois:      <ul><li><a href="https://www.fbdesignpro.com/" target="_blank" rel="noreferrer noopener">Francois Bertrand</a></li><li><a href="https://github.com/fbdesignpro/sweetviz" target="_blank" rel="noreferrer noopener">GitHub | fbdesignpro/sweetviz</a></li></ul>  Special Guests: Elena Samuylova and Emeli Dral.Sponsored By:<ul><li><a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">Top End Devs Coaching</a>: <a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">If you have questions about how to grow your skills or take your career to the next level, join us on our next weekly coaching call. It's completely free.</a></li><li><a href="https://podcastbootcamp.io/" target="_blank" rel="noreferrer noopener">Podcast Bootcamp</a>: <a href="https://podcastbootcamp.io/" target="_blank" rel="noreferrer noopener">Launch an Amazing Sounding Podcast in just 4 WEEKS! Work with a 13 year podcasting veteran to get your podcast started off on the right foot! </a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>1048</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>The MLOps Community with Demetrios Brinkmann - ML048</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/the-mlops-community-with-demetrios-brinkmann-ml048</link><description><![CDATA[Demetrios Brinkmann joins the adventure to discuss how he build and supports the MLOps Slack community and online meetups. He goes into the community, moderation, running meetups, sponsorships, and much more.      Panel      <ul><li>Ben Wilson</li><li>Charles Max Wood</li><li>Francois Bertrand</li></ul>      Guest      <ul><li>Demetrios Brinkmann</li></ul>      Sponsors      <ul><li><a href="https://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a></li><li><a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">Level Up | Devchat.tv</a></li><li><a href="http://podcastbootcamp.io/" target="_blank" rel="noreferrer noopener">PodcastBootcamp.io</a></li></ul>      Links      <ul><li><a href="https://mlops.community/" target="_blank" rel="noreferrer noopener">MLOps Community</a></li><li><a href="https://twitter.com/mlopscommunity" target="_blank" rel="noreferrer noopener">Twitter: mlopscommunity ( @mlopscommunity )</a></li><li><a href="https://www.linkedin.com/in/dpbrinkm/" target="_blank" rel="noreferrer noopener">LinkedIn: Demetrios Brinkmann</a></li><li><a href="https://twitter.com/Dpbrinkm" target="_blank" rel="noreferrer noopener">Twitter: Demetrios ( @Dpbrinkm )</a></li></ul>      Picks      <ul><li>Ben- <a href="https://mlflow.org/" target="_blank" rel="noreferrer noopener">MLFlow</a></li><li>Charles- <a href="https://amzn.to/3lk7C1q" target="_blank" rel="noreferrer noopener">Tribe of Millionaires</a></li><li>Charles- <a href="http://topenddevs.com" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li>Demetrios- <a href="https://amzn.to/3lgqNsD" target="_blank" rel="noreferrer noopener">Make Noise: A Creator's Guide to Podcasting and Great Audio Storytelling</a></li><li>Demetrios- <a href="https://amzn.to/3DifuGz" target="_blank" rel="noreferrer noopener">Out on the Wire</a></li><li>Demetrios- <a href="https://www.wnycstudios.org/podcasts/radiolab" target="_blank" rel="noreferrer noopener">Radiolab: Podcasts</a></li></ul>      Contact Ben:      <ul><li><a href="https://databricks.com/" target="_blank" rel="noreferrer noopener">Databricks</a></li><li><a href="https://github.com/BenWilson2/ML-Engineering" target="_blank" rel="noreferrer noopener">GitHub | BenWilson2/ML-Engineering</a></li><li><a href="https://github.com/databrickslabs/automl-toolkit" target="_blank" rel="noreferrer noopener">GitHub | databrickslabs/automl-toolkit</a></li><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn: Benjamin Wilson</a></li></ul>      Contact Charles:      <ul><li><a href="https://devchat.tv/" target="_blank" rel="noreferrer noopener">Devchat.tv</a></li><li><a href="https://www.facebook.com/DevChattv/" target="_blank" rel="noreferrer noopener">DevChat.tv | Facebook</a></li><li><a href="https://twitter.com/devchattv" target="_blank" rel="noreferrer noopener">Twitter: DevChat.tv ( @devchattv )</a></li></ul>      Contact Francois:      <ul><li><a href="https://www.fbdesignpro.com/" target="_blank" rel="noreferrer noopener">Francois Bertrand</a></li><li><a href="https://github.com/fbdesignpro/sweetviz" target="_blank" rel="noreferrer noopener">GitHub | fbdesignpro/sweetviz</a></li></ul>  Special Guest: Demetrios Brinkmann.Sponsored By:<ul><li><a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">Top End Devs Coaching</a>: <a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">If you have questions about how to grow your skills or take your career to the next level, join us on our next weekly coaching call. It's completely free.</a></li><li><a href="https://podcastbootcamp.io/" target="_blank" rel="noreferrer noopener">Podcast Bootcamp</a>: <a href="https://podcastbootcamp.io/" target="_blank" rel="noreferrer noopener">Launch an Amazing Sounding Podcast in just 4 WEEKS! Work with a 13 year podcasting veteran to get your podcast started off on the right foot! </a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">85bf4ca7-8dbe-4e72-b7f9-2bd9112f2459</guid><pubDate>Thu, 07 Oct 2021 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842215/stream.mp3" length="72338352" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Demetrios Brinkmann joins the adventure to discuss how he build and supports the MLOps Slack community and online meetups. He goes into the community, moderation, running meetups, sponsorships, and much more.      Panel      
- Ben Wilson
- Charles...</itunes:subtitle><itunes:summary><![CDATA[Demetrios Brinkmann joins the adventure to discuss how he build and supports the MLOps Slack community and online meetups. He goes into the community, moderation, running meetups, sponsorships, and much more.      Panel      <ul><li>Ben Wilson</li><li>Charles Max Wood</li><li>Francois Bertrand</li></ul>      Guest      <ul><li>Demetrios Brinkmann</li></ul>      Sponsors      <ul><li><a href="https://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a></li><li><a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">Level Up | Devchat.tv</a></li><li><a href="http://podcastbootcamp.io/" target="_blank" rel="noreferrer noopener">PodcastBootcamp.io</a></li></ul>      Links      <ul><li><a href="https://mlops.community/" target="_blank" rel="noreferrer noopener">MLOps Community</a></li><li><a href="https://twitter.com/mlopscommunity" target="_blank" rel="noreferrer noopener">Twitter: mlopscommunity ( @mlopscommunity )</a></li><li><a href="https://www.linkedin.com/in/dpbrinkm/" target="_blank" rel="noreferrer noopener">LinkedIn: Demetrios Brinkmann</a></li><li><a href="https://twitter.com/Dpbrinkm" target="_blank" rel="noreferrer noopener">Twitter: Demetrios ( @Dpbrinkm )</a></li></ul>      Picks      <ul><li>Ben- <a href="https://mlflow.org/" target="_blank" rel="noreferrer noopener">MLFlow</a></li><li>Charles- <a href="https://amzn.to/3lk7C1q" target="_blank" rel="noreferrer noopener">Tribe of Millionaires</a></li><li>Charles- <a href="http://topenddevs.com" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li>Demetrios- <a href="https://amzn.to/3lgqNsD" target="_blank" rel="noreferrer noopener">Make Noise: A Creator's Guide to Podcasting and Great Audio Storytelling</a></li><li>Demetrios- <a href="https://amzn.to/3DifuGz" target="_blank" rel="noreferrer noopener">Out on the Wire</a></li><li>Demetrios- <a href="https://www.wnycstudios.org/podcasts/radiolab" target="_blank" rel="noreferrer noopener">Radiolab: Podcasts</a></li></ul>      Contact Ben:      <ul><li><a href="https://databricks.com/" target="_blank" rel="noreferrer noopener">Databricks</a></li><li><a href="https://github.com/BenWilson2/ML-Engineering" target="_blank" rel="noreferrer noopener">GitHub | BenWilson2/ML-Engineering</a></li><li><a href="https://github.com/databrickslabs/automl-toolkit" target="_blank" rel="noreferrer noopener">GitHub | databrickslabs/automl-toolkit</a></li><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn: Benjamin Wilson</a></li></ul>      Contact Charles:      <ul><li><a href="https://devchat.tv/" target="_blank" rel="noreferrer noopener">Devchat.tv</a></li><li><a href="https://www.facebook.com/DevChattv/" target="_blank" rel="noreferrer noopener">DevChat.tv | Facebook</a></li><li><a href="https://twitter.com/devchattv" target="_blank" rel="noreferrer noopener">Twitter: DevChat.tv ( @devchattv )</a></li></ul>      Contact Francois:      <ul><li><a href="https://www.fbdesignpro.com/" target="_blank" rel="noreferrer noopener">Francois Bertrand</a></li><li><a href="https://github.com/fbdesignpro/sweetviz" target="_blank" rel="noreferrer noopener">GitHub | fbdesignpro/sweetviz</a></li></ul>  Special Guest: Demetrios Brinkmann.Sponsored By:<ul><li><a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">Top End Devs Coaching</a>: <a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">If you have questions about how to grow your skills or take your career to the next level, join us on our next weekly coaching call. It's completely free.</a></li><li><a href="https://podcastbootcamp.io/" target="_blank" rel="noreferrer noopener">Podcast Bootcamp</a>: <a href="https://podcastbootcamp.io/" target="_blank" rel="noreferrer noopener">Launch an Amazing Sounding Podcast in just 4 WEEKS! Work with a 13 year podcasting veteran to get your podcast started off on the...]]></itunes:summary><itunes:duration>3428</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>How to Build and Organize Production ML Solutions ft. Conor Murphy - ML 047</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/how-to-build-and-organize-production-ml-solutions-ft-conor-murphy-ml-047</link><description><![CDATA[Conor Murphy joins the adventure to explain how he approaches new problems from customers at databricks and how he helps customers see their way past issues with their current solutions to get the outcomes they want.      Panel      <ul><li>Ben Wilson</li><li>Charles Max Wood</li><li>Francois Bertrand</li></ul>      Guest      <ul><li>Conor Murphy</li></ul>      Sponsors      <ul><li><a href="https://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a></li><li><a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">Level Up | Devchat.tv</a></li><li><a href="http://podcastbootcamp.io/" target="_blank" rel="noreferrer noopener">PodcastBootcamp.io</a></li></ul>      Links      <ul><li><a href="https://www.conorbmurphy.com/" target="_blank" rel="noreferrer noopener">A dose of awe from the bleeding edge of neuroscience, AI and philosophy</a></li><li><a href="https://www.linkedin.com/in/conorbmurphy/" target="_blank" rel="noreferrer noopener">LinkedIn: Conor B. Murphy</a></li><li><a href="https://www.instagram.com/conorbmurphy/" target="_blank" rel="noreferrer noopener">Instagram: Conor B Murphy ( conorbmurphy )</a></li></ul>      Picks      <ul><li>Ben- <a href="https://www.youtube.com/channel/UCVhQ2NnY5Rskt6UjCUkJ_DA" target="_blank" rel="noreferrer noopener">ArjanCodes - YouTube</a></li><li>Charles- <a href="http://podcastbootcamp.io/" target="_blank" rel="noreferrer noopener">PodcastBootcamp.io</a></li><li>Charles- <a href="https://amzn.to/39Wxn0V" target="_blank" rel="noreferrer noopener">Masters of Doom</a></li><li>Charles- <a href="https://amzn.to/39P9fgL" target="_blank" rel="noreferrer noopener">How to Make Sh*t Happen</a></li><li>Charles- <a href="https://amzn.to/3kTDucY" target="_blank" rel="noreferrer noopener">Tribe of Millionaires</a></li><li>Conor- <a href="https://amzn.to/3zUTsre" target="_blank" rel="noreferrer noopener">The Art of Impossible</a></li><li>Charles- <a href="https://amzn.to/3im5N1M" target="_blank" rel="noreferrer noopener">The Road Back to You</a></li><li>Conor-<a href="https://amzn.to/3olja6q" target="_blank" rel="noreferrer noopener"> Scale</a></li><li>Francois- <a href="https://www.favro.com/" target="_blank" rel="noreferrer noopener">Favro</a></li></ul>      Contact Ben:      <ul><li><a href="https://databricks.com/" target="_blank" rel="noreferrer noopener">Databricks</a></li><li><a href="https://github.com/BenWilson2/ML-Engineering" target="_blank" rel="noreferrer noopener">GitHub | BenWilson2/ML-Engineering</a></li><li><a href="https://github.com/databrickslabs/automl-toolkit" target="_blank" rel="noreferrer noopener">GitHub | databrickslabs/automl-toolkit</a></li><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn: Benjamin Wilson</a></li></ul>      Contact Charles:      <ul><li><a href="https://devchat.tv/" target="_blank" rel="noreferrer noopener">Devchat.tv</a></li><li><a href="https://www.facebook.com/DevChattv/" target="_blank" rel="noreferrer noopener">DevChat.tv | Facebook</a></li><li><a href="https://twitter.com/devchattv" target="_blank" rel="noreferrer noopener">Twitter: DevChat.tv ( @devchattv )</a></li></ul>      Contact Francois:      <ul><li><a href="https://www.fbdesignpro.com/" target="_blank" rel="noreferrer noopener">Francois Bertrand</a></li><li><a href="https://github.com/fbdesignpro/sweetviz" target="_blank" rel="noreferrer noopener">GitHub | fbdesignpro/sweetviz</a></li></ul>  Special Guest: Conor Murphy.Sponsored By:<ul><li><a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">Top End Devs Coaching</a>: <a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">If you have questions about how to grow your skills or take your career to the next level, join us on our next weekly coaching call. It's completely free.</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">0fb9cff8-d967-4bf3-ab07-b5fbbe084cb9</guid><pubDate>Thu, 30 Sep 2021 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842229/stream.mp3" length="87663473" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Conor Murphy joins the adventure to explain how he approaches new problems from customers at databricks and how he helps customers see their way past issues with their current solutions to get the outcomes they want.      Panel      
- Ben Wilson
-...</itunes:subtitle><itunes:summary><![CDATA[Conor Murphy joins the adventure to explain how he approaches new problems from customers at databricks and how he helps customers see their way past issues with their current solutions to get the outcomes they want.      Panel      <ul><li>Ben Wilson</li><li>Charles Max Wood</li><li>Francois Bertrand</li></ul>      Guest      <ul><li>Conor Murphy</li></ul>      Sponsors      <ul><li><a href="https://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a></li><li><a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">Level Up | Devchat.tv</a></li><li><a href="http://podcastbootcamp.io/" target="_blank" rel="noreferrer noopener">PodcastBootcamp.io</a></li></ul>      Links      <ul><li><a href="https://www.conorbmurphy.com/" target="_blank" rel="noreferrer noopener">A dose of awe from the bleeding edge of neuroscience, AI and philosophy</a></li><li><a href="https://www.linkedin.com/in/conorbmurphy/" target="_blank" rel="noreferrer noopener">LinkedIn: Conor B. Murphy</a></li><li><a href="https://www.instagram.com/conorbmurphy/" target="_blank" rel="noreferrer noopener">Instagram: Conor B Murphy ( conorbmurphy )</a></li></ul>      Picks      <ul><li>Ben- <a href="https://www.youtube.com/channel/UCVhQ2NnY5Rskt6UjCUkJ_DA" target="_blank" rel="noreferrer noopener">ArjanCodes - YouTube</a></li><li>Charles- <a href="http://podcastbootcamp.io/" target="_blank" rel="noreferrer noopener">PodcastBootcamp.io</a></li><li>Charles- <a href="https://amzn.to/39Wxn0V" target="_blank" rel="noreferrer noopener">Masters of Doom</a></li><li>Charles- <a href="https://amzn.to/39P9fgL" target="_blank" rel="noreferrer noopener">How to Make Sh*t Happen</a></li><li>Charles- <a href="https://amzn.to/3kTDucY" target="_blank" rel="noreferrer noopener">Tribe of Millionaires</a></li><li>Conor- <a href="https://amzn.to/3zUTsre" target="_blank" rel="noreferrer noopener">The Art of Impossible</a></li><li>Charles- <a href="https://amzn.to/3im5N1M" target="_blank" rel="noreferrer noopener">The Road Back to You</a></li><li>Conor-<a href="https://amzn.to/3olja6q" target="_blank" rel="noreferrer noopener"> Scale</a></li><li>Francois- <a href="https://www.favro.com/" target="_blank" rel="noreferrer noopener">Favro</a></li></ul>      Contact Ben:      <ul><li><a href="https://databricks.com/" target="_blank" rel="noreferrer noopener">Databricks</a></li><li><a href="https://github.com/BenWilson2/ML-Engineering" target="_blank" rel="noreferrer noopener">GitHub | BenWilson2/ML-Engineering</a></li><li><a href="https://github.com/databrickslabs/automl-toolkit" target="_blank" rel="noreferrer noopener">GitHub | databrickslabs/automl-toolkit</a></li><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn: Benjamin Wilson</a></li></ul>      Contact Charles:      <ul><li><a href="https://devchat.tv/" target="_blank" rel="noreferrer noopener">Devchat.tv</a></li><li><a href="https://www.facebook.com/DevChattv/" target="_blank" rel="noreferrer noopener">DevChat.tv | Facebook</a></li><li><a href="https://twitter.com/devchattv" target="_blank" rel="noreferrer noopener">Twitter: DevChat.tv ( @devchattv )</a></li></ul>      Contact Francois:      <ul><li><a href="https://www.fbdesignpro.com/" target="_blank" rel="noreferrer noopener">Francois Bertrand</a></li><li><a href="https://github.com/fbdesignpro/sweetviz" target="_blank" rel="noreferrer noopener">GitHub | fbdesignpro/sweetviz</a></li></ul>  Special Guest: Conor Murphy.Sponsored By:<ul><li><a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">Top End Devs Coaching</a>: <a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">If you have questions about how to grow your skills or take your career to the next level, join us on our next weekly coaching call. It's completely free.</a></li></ul><br /><br />Advertising Inquiries: <a...]]></itunes:summary><itunes:duration>4194</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Using AI to Make the LifeCycle of Software Development Easier ft. Antonio Alegria - ML 046</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/using-ai-to-make-the-lifecycle-of-software-development-easier-ft-antonio-alegria-ml-046</link><description><![CDATA[Antonio Alegria is the head of AI at Outsystems. He leads the effort to find ways to use AI to augment people's experience building software. He joins in to talk about how Outsystems approaches exploring and implementing<br />AI to make the lifecycle of software development easier.      Panel      <ul><li>Ben Wilson</li><li>Francois Bertrand</li></ul>      Guest      <ul><li>Antonio Alegria</li></ul>      Sponsors      <ul><li><a href="https://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a></li><li><a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">Level Up | Devchat.tv</a></li><li><a href="http://podcastbootcamp.io/" target="_blank" rel="noreferrer noopener">PodcastBootcamp.io</a></li></ul>      Links      <ul><li><a href="https://insights.dice.com/2021/07/09/a-i-machine-learning-job-opportunities-what-the-experts-think/" target="_blank" rel="noreferrer noopener">A.I., Machine Learning Job Opportunities: What the Experts Think</a></li><li><a href="https://www.computerweekly.com/blog/CW-Developer-Network/AI-In-Code-Series-OutSystems-AI-drives-developer-navigation-automation-validation" target="_blank" rel="noreferrer noopener">AI In Code Series: OutSystems - AI drives developer navigation, automation &amp; validation</a></li><li><a href="https://accelerationeconomy.com/low-code-no-code/the-role-of-ai-within-low-code-development/" target="_blank" rel="noreferrer noopener">The Role of AI Within Low-Code Development</a></li><li><a href="https://thedariusgantshow.libsyn.com/how-to-become-an-ai-driven-organization-using-prebuilt-ai-tools-to-get-started-outsystems" target="_blank" rel="noreferrer noopener">How to Become an AI Driven Organization + Using Prebuilt AI Tools to Get Started | OutSystems</a></li><li><a href="https://www.thepulseofai.com/post/outsystems-leading-the-low-code-revolution" target="_blank" rel="noreferrer noopener">Outsystems: Revolutionizing App Development for the Enterprise</a></li><li><a href="https://www.youtube.com/watch?v=Tr6PIvcV4is" target="_blank" rel="noreferrer noopener">António Alegria, Outsystems | Outsystems NextStep 2020 - YouTube</a></li><li><a href="https://www.outsystems.com/blog/posts/ai-software-development/" target="_blank" rel="noreferrer noopener">Augmenting The Work of OutSystems Developers With AI-Assisted Development</a></li><li><a href="https://www.outsystems.com/blog/posts/ai-machine-learning-application-development/" target="_blank" rel="noreferrer noopener">OutSystems Update: AI and Machine Learning for Application Development</a></li><li><a href="https://www.linkedin.com/company/outsystems/" target="_blank" rel="noreferrer noopener">LinkedIn: OutSystems</a></li><li><a href="https://twitter.com/OutSystems/" target="_blank" rel="noreferrer noopener">Twitter: OutSystems ( @OutSystems )</a></li><li><a href="https://www.linkedin.com/in/antonioalegria/?originalSubdomain=pt" target="_blank" rel="noreferrer noopener">LinkedIn: Antonio Alegria</a></li><li><a href="https://twitter.com/antonioalegria?lang=en" target="_blank" rel="noreferrer noopener">Twitter: Antonio Alegria ( @antonioalegria )</a></li></ul>      Picks      <ul><li>Antonio- <a href="https://www.youtube.com/watch?v=11QXiJ8ORe8" target="_blank" rel="noreferrer noopener">Tesla AI Day</a></li><li>Ben- <a href="https://zenml.io/" target="_blank" rel="noreferrer noopener">ZenML</a></li><li>Francois- <a href="https://amzn.to/3ksUKFF" target="_blank" rel="noreferrer noopener">7 habits of highly effective people</a></li></ul>      Contact Ben:      <ul><li><a href="https://databricks.com/" target="_blank" rel="noreferrer noopener">Databricks</a></li><li><a href="https://github.com/BenWilson2/ML-Engineering" target="_blank" rel="noreferrer noopener">GitHub | BenWilson2/ML-Engineering</a></li><li><a href="https://github.com/databrickslabs/automl-toolkit" target="_blank" rel="noreferrer noopener">GitHub | databrickslabs/automl-toolkit</a></li><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn: Benjamin Wilson</a></li></ul>      Contact Francois:      <ul><li><a href="https://www.fbdesignpro.com/" target="_blank" rel="noreferrer noopener">Francois Bertrand</a></li><li><a href="https://github.com/fbdesignpro/sweetviz" target="_blank" rel="noreferrer noopener">GitHub | fbdesignpro/sweetviz</a></li></ul>  Special Guest: Antonio Alegria.Sponsored By:<ul><li><a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">Top End Devs Coaching</a>: <a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">If you have questions about how to grow your skills or take your career to the next level, join us on our next weekly coaching call. It's completely free.</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">39e7ead1-3799-4585-b409-45483b40443c</guid><pubDate>Wed, 22 Sep 2021 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842223/stream.mp3" length="78753831" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Antonio Alegria is the head of AI at Outsystems. He leads the effort to find ways to use AI to augment people's experience building software. He joins in to talk about how Outsystems approaches exploring and implementing
AI to make the lifecycle of...</itunes:subtitle><itunes:summary><![CDATA[Antonio Alegria is the head of AI at Outsystems. He leads the effort to find ways to use AI to augment people's experience building software. He joins in to talk about how Outsystems approaches exploring and implementing<br />AI to make the lifecycle of software development easier.      Panel      <ul><li>Ben Wilson</li><li>Francois Bertrand</li></ul>      Guest      <ul><li>Antonio Alegria</li></ul>      Sponsors      <ul><li><a href="https://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a></li><li><a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">Level Up | Devchat.tv</a></li><li><a href="http://podcastbootcamp.io/" target="_blank" rel="noreferrer noopener">PodcastBootcamp.io</a></li></ul>      Links      <ul><li><a href="https://insights.dice.com/2021/07/09/a-i-machine-learning-job-opportunities-what-the-experts-think/" target="_blank" rel="noreferrer noopener">A.I., Machine Learning Job Opportunities: What the Experts Think</a></li><li><a href="https://www.computerweekly.com/blog/CW-Developer-Network/AI-In-Code-Series-OutSystems-AI-drives-developer-navigation-automation-validation" target="_blank" rel="noreferrer noopener">AI In Code Series: OutSystems - AI drives developer navigation, automation &amp; validation</a></li><li><a href="https://accelerationeconomy.com/low-code-no-code/the-role-of-ai-within-low-code-development/" target="_blank" rel="noreferrer noopener">The Role of AI Within Low-Code Development</a></li><li><a href="https://thedariusgantshow.libsyn.com/how-to-become-an-ai-driven-organization-using-prebuilt-ai-tools-to-get-started-outsystems" target="_blank" rel="noreferrer noopener">How to Become an AI Driven Organization + Using Prebuilt AI Tools to Get Started | OutSystems</a></li><li><a href="https://www.thepulseofai.com/post/outsystems-leading-the-low-code-revolution" target="_blank" rel="noreferrer noopener">Outsystems: Revolutionizing App Development for the Enterprise</a></li><li><a href="https://www.youtube.com/watch?v=Tr6PIvcV4is" target="_blank" rel="noreferrer noopener">António Alegria, Outsystems | Outsystems NextStep 2020 - YouTube</a></li><li><a href="https://www.outsystems.com/blog/posts/ai-software-development/" target="_blank" rel="noreferrer noopener">Augmenting The Work of OutSystems Developers With AI-Assisted Development</a></li><li><a href="https://www.outsystems.com/blog/posts/ai-machine-learning-application-development/" target="_blank" rel="noreferrer noopener">OutSystems Update: AI and Machine Learning for Application Development</a></li><li><a href="https://www.linkedin.com/company/outsystems/" target="_blank" rel="noreferrer noopener">LinkedIn: OutSystems</a></li><li><a href="https://twitter.com/OutSystems/" target="_blank" rel="noreferrer noopener">Twitter: OutSystems ( @OutSystems )</a></li><li><a href="https://www.linkedin.com/in/antonioalegria/?originalSubdomain=pt" target="_blank" rel="noreferrer noopener">LinkedIn: Antonio Alegria</a></li><li><a href="https://twitter.com/antonioalegria?lang=en" target="_blank" rel="noreferrer noopener">Twitter: Antonio Alegria ( @antonioalegria )</a></li></ul>      Picks      <ul><li>Antonio- <a href="https://www.youtube.com/watch?v=11QXiJ8ORe8" target="_blank" rel="noreferrer noopener">Tesla AI Day</a></li><li>Ben- <a href="https://zenml.io/" target="_blank" rel="noreferrer noopener">ZenML</a></li><li>Francois- <a href="https://amzn.to/3ksUKFF" target="_blank" rel="noreferrer noopener">7 habits of highly effective people</a></li></ul>      Contact Ben:      <ul><li><a href="https://databricks.com/" target="_blank" rel="noreferrer noopener">Databricks</a></li><li><a href="https://github.com/BenWilson2/ML-Engineering" target="_blank" rel="noreferrer noopener">GitHub | BenWilson2/ML-Engineering</a></li><li><a href="https://github.com/databrickslabs/automl-toolkit" target="_blank" rel="noreferrer noopener">GitHub | databrickslabs/automl-toolkit</a></li><li><a...]]></itunes:summary><itunes:duration>3748</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Multi-modal AI and Machine Teaching ft. Slater Victoroff - ML 045</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/multi-modal-ai-and-machine-teaching-ft-slater-victoroff-ml-045</link><description><![CDATA[Slater Victoroff joins the Adventure to discuss mutli-modal AI and machine teaching with the panel. He starts out explaining what multi-modal AI is and how it works. The conversation goes deep before veering into Machine Teaching.      Panel      <ul><li>Ben Wilson</li><li>Francois Bertrand</li></ul>      Guest      <ul><li>Slater Victoroff</li></ul>      Sponsors      <ul><li><a href="http://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a></li><li><a href="http://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">Level Up | Devchat.tv</a></li><li><a href="http://podcastbootcamp.io" target="_blank" rel="noreferrer noopener">PodcastBootcamp.io</a></li></ul>      Links      <ul><li><a href="https://www.linkedin.com/in/slatervictoroff/" target="_blank" rel="noreferrer noopener">LinkedIn: Slater Victoroff</a> </li><li><a href="https://twitter.com/sl8rv" target="_blank" rel="noreferrer noopener">Twitter: Slater Victoroff ( @sl8rv )</a></li></ul>      Contact Ben:      <ul><li><a href="https://databricks.com/" target="_blank" rel="noreferrer noopener">Databricks</a></li><li><a href="https://github.com/BenWilson2/ML-Engineering" target="_blank" rel="noreferrer noopener">GitHub | BenWilson2/ML-Engineering</a></li><li><a href="https://github.com/databrickslabs/automl-toolkit" target="_blank" rel="noreferrer noopener">GitHub | databrickslabs/automl-toolkit</a></li><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn: Benjamin Wilson</a></li></ul>      Contact Francois:      <ul><li><a href="https://www.fbdesignpro.com/" target="_blank" rel="noreferrer noopener">Francois Bertrand</a></li><li><a href="https://github.com/fbdesignpro/sweetviz" target="_blank" rel="noreferrer noopener">GitHub | fbdesignpro/sweetviz</a></li></ul>  Special Guest: Slater Victoroff.Sponsored By:<ul><li><a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">Top End Devs Coaching</a>: <a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">If you have questions about how to grow your skills or take your career to the next level, join us on our next weekly coaching call. It's completely free.</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">ca13549d-871d-46d3-b056-cd28cf6da724</guid><pubDate>Thu, 16 Sep 2021 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842239/stream.mp3" length="100433148" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Slater Victoroff joins the Adventure to discuss mutli-modal AI and machine teaching with the panel. He starts out explaining what multi-modal AI is and how it works. The conversation goes deep before veering into Machine Teaching.      Panel      
-...</itunes:subtitle><itunes:summary><![CDATA[Slater Victoroff joins the Adventure to discuss mutli-modal AI and machine teaching with the panel. He starts out explaining what multi-modal AI is and how it works. The conversation goes deep before veering into Machine Teaching.      Panel      <ul><li>Ben Wilson</li><li>Francois Bertrand</li></ul>      Guest      <ul><li>Slater Victoroff</li></ul>      Sponsors      <ul><li><a href="http://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a></li><li><a href="http://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">Level Up | Devchat.tv</a></li><li><a href="http://podcastbootcamp.io" target="_blank" rel="noreferrer noopener">PodcastBootcamp.io</a></li></ul>      Links      <ul><li><a href="https://www.linkedin.com/in/slatervictoroff/" target="_blank" rel="noreferrer noopener">LinkedIn: Slater Victoroff</a> </li><li><a href="https://twitter.com/sl8rv" target="_blank" rel="noreferrer noopener">Twitter: Slater Victoroff ( @sl8rv )</a></li></ul>      Contact Ben:      <ul><li><a href="https://databricks.com/" target="_blank" rel="noreferrer noopener">Databricks</a></li><li><a href="https://github.com/BenWilson2/ML-Engineering" target="_blank" rel="noreferrer noopener">GitHub | BenWilson2/ML-Engineering</a></li><li><a href="https://github.com/databrickslabs/automl-toolkit" target="_blank" rel="noreferrer noopener">GitHub | databrickslabs/automl-toolkit</a></li><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn: Benjamin Wilson</a></li></ul>      Contact Francois:      <ul><li><a href="https://www.fbdesignpro.com/" target="_blank" rel="noreferrer noopener">Francois Bertrand</a></li><li><a href="https://github.com/fbdesignpro/sweetviz" target="_blank" rel="noreferrer noopener">GitHub | fbdesignpro/sweetviz</a></li></ul>  Special Guest: Slater Victoroff.Sponsored By:<ul><li><a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">Top End Devs Coaching</a>: <a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">If you have questions about how to grow your skills or take your career to the next level, join us on our next weekly coaching call. It's completely free.</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>4832</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>AI Assisted Development ft. Sydney Lai - ML 044</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/ai-assisted-development-ft-sydney-lai-ml-044</link><description><![CDATA[Sydney Lai joins the Adventure to discuss how she and her colleagues build AI assisted features for developers and how that they handle scenarios that they can't always plan for.      Panel      <ul><li>Ben Wilson</li><li>Charles Max Wood</li></ul>      Guest      <ul><li>Sydney Lai </li></ul>      Sponsors      <ul><li><a href="https://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a></li><li><a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">Level Up | Devchat.tv</a></li><li><a href="https://podcastbootcamp.io/" target="_blank" rel="noreferrer noopener">PodcastBootcamp.io</a></li></ul>      Links      <ul><li><a href="https://www.outsystems.com/community/" target="_blank" rel="noreferrer noopener">Developer Community | OutSystems</a></li><li><a href="https://www.outsystems.com/downloads/" target="_blank" rel="noreferrer noopener">Software Downloads | OutSystems</a></li><li><a href="https://twitter.com/sydneylai" target="_blank" rel="noreferrer noopener">Twitter: Sydney Lai ( @sydneylai )</a></li></ul>      Picks      <ul><li>Ben- <a href="https://www.veritasium.com/" target="_blank" rel="noreferrer noopener">Veritasium</a></li><li>Charles- <a href="https://podcastbootcamp.io/" target="_blank" rel="noreferrer noopener">PodcastBootcamp.io</a></li><li>Charles- <a href="https://topenddevs.com/podcast" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li>Charles- <a href="https://watch.angelstudios.com/thechosen" target="_blank" rel="noreferrer noopener">The Chosen</a></li><li>Sydney- <a href="https://michaelpollan.com/" target="_blank" rel="noreferrer noopener">Michael Pollan</a></li></ul>      Contact Ben:      <ul><li><a href="https://databricks.com/" target="_blank" rel="noreferrer noopener">Databricks</a></li><li><a href="https://github.com/BenWilson2/ML-Engineering" target="_blank" rel="noreferrer noopener">GitHub | BenWilson2/ML-Engineering</a></li><li><a href="https://github.com/databrickslabs/automl-toolkit" target="_blank" rel="noreferrer noopener">GitHub | databrickslabs/automl-toolkit</a></li><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn: Benjamin Wilson</a></li></ul>      Contact Charles:      <ul><li><a href="https://devchat.tv/" target="_blank" rel="noreferrer noopener">Devchat.tv</a></li><li><a href="https://www.facebook.com/DevChattv/" target="_blank" rel="noreferrer noopener">DevChat.tv | Facebook</a></li><li><a href="https://twitter.com/devchattv" target="_blank" rel="noreferrer noopener">Twitter: DevChat.tv ( @devchattv )</a></li></ul>  Special Guest: Sydney Lai .Sponsored By:<ul><li><a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">Top End Devs Coaching</a>: <a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">If you have questions about how to grow your skills or take your career to the next level, join us on our next weekly coaching call. It's completely free.</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">6ed76e49-6a79-41d9-8de9-2589a384c23b</guid><pubDate>Thu, 02 Sep 2021 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842212/stream.mp3" length="95055910" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Sydney Lai joins the Adventure to discuss how she and her colleagues build AI assisted features for developers and how that they handle scenarios that they can't always plan for.      Panel      
- Ben Wilson
- Charles Max Wood
      Guest      
-...</itunes:subtitle><itunes:summary><![CDATA[Sydney Lai joins the Adventure to discuss how she and her colleagues build AI assisted features for developers and how that they handle scenarios that they can't always plan for.      Panel      <ul><li>Ben Wilson</li><li>Charles Max Wood</li></ul>      Guest      <ul><li>Sydney Lai </li></ul>      Sponsors      <ul><li><a href="https://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a></li><li><a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">Level Up | Devchat.tv</a></li><li><a href="https://podcastbootcamp.io/" target="_blank" rel="noreferrer noopener">PodcastBootcamp.io</a></li></ul>      Links      <ul><li><a href="https://www.outsystems.com/community/" target="_blank" rel="noreferrer noopener">Developer Community | OutSystems</a></li><li><a href="https://www.outsystems.com/downloads/" target="_blank" rel="noreferrer noopener">Software Downloads | OutSystems</a></li><li><a href="https://twitter.com/sydneylai" target="_blank" rel="noreferrer noopener">Twitter: Sydney Lai ( @sydneylai )</a></li></ul>      Picks      <ul><li>Ben- <a href="https://www.veritasium.com/" target="_blank" rel="noreferrer noopener">Veritasium</a></li><li>Charles- <a href="https://podcastbootcamp.io/" target="_blank" rel="noreferrer noopener">PodcastBootcamp.io</a></li><li>Charles- <a href="https://topenddevs.com/podcast" target="_blank" rel="noreferrer noopener">Top End Devs</a></li><li>Charles- <a href="https://watch.angelstudios.com/thechosen" target="_blank" rel="noreferrer noopener">The Chosen</a></li><li>Sydney- <a href="https://michaelpollan.com/" target="_blank" rel="noreferrer noopener">Michael Pollan</a></li></ul>      Contact Ben:      <ul><li><a href="https://databricks.com/" target="_blank" rel="noreferrer noopener">Databricks</a></li><li><a href="https://github.com/BenWilson2/ML-Engineering" target="_blank" rel="noreferrer noopener">GitHub | BenWilson2/ML-Engineering</a></li><li><a href="https://github.com/databrickslabs/automl-toolkit" target="_blank" rel="noreferrer noopener">GitHub | databrickslabs/automl-toolkit</a></li><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn: Benjamin Wilson</a></li></ul>      Contact Charles:      <ul><li><a href="https://devchat.tv/" target="_blank" rel="noreferrer noopener">Devchat.tv</a></li><li><a href="https://www.facebook.com/DevChattv/" target="_blank" rel="noreferrer noopener">DevChat.tv | Facebook</a></li><li><a href="https://twitter.com/devchattv" target="_blank" rel="noreferrer noopener">Twitter: DevChat.tv ( @devchattv )</a></li></ul>  Special Guest: Sydney Lai .Sponsored By:<ul><li><a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">Top End Devs Coaching</a>: <a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">If you have questions about how to grow your skills or take your career to the next level, join us on our next weekly coaching call. It's completely free.</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>4563</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Data + ML: What Could Go Wrong? ft. Sandeep Uttamchandani - ML 043</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/data-ml-what-could-go-wrong-ft-sandeep-uttamchandani-ml-043</link><description><![CDATA[Sandeep Uttamchandani joins the Adventure to discuss the relationships between Data Science and Machine Learning.      He walks through the ways you should set up, manage, and consider the data you use to build and train your Machine Learning systems to get the outcomes that you want.      Panel      <ul><li>Ben Wilson</li><li>Charles Max Wood</li></ul>      Guest      <ul><li>Sandeep Uttamchandani</li></ul>      Sponsors      <ul><li><a href="https://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a></li><li><a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">Level Up | Devchat.tv</a></li></ul>      Links      <ul><li><a href="https://towardsdatascience.com/51-things-that-can-go-wrong-in-a-real-world-ml-project-c36678065a75" target="_blank" rel="noreferrer noopener">98 things that can go wrong in an ML project</a></li><li><a href="https://amzn.to/3B4lqSC" target="_blank" rel="noreferrer noopener">The Self-Service Data Roadmap</a></li><li><a href="https://venturebeat.com/2021/06/19/how-to-build-a-unicorn-ai-team-without-unicorns/" target="_blank" rel="noreferrer noopener">How to build a unicorn AI team without unicorns</a></li><li><a href="https://towardsdatascience.com/for-successful-ai-projects-celebrate-your-graveyard-5e29945a70ad" target="_blank" rel="noreferrer noopener">For Successful AI Projects, Celebrate Your Graveyard</a></li><li><a href="https://www.dataforhumanity.org/" target="_blank" rel="noreferrer noopener">Data for Humanity</a></li><li><a href="https://techcrunch.com/2021/07/07/for-successful-ai-projects-celebrate-your-graveyard-and-be-prepared-to-fail-fast/" target="_blank" rel="noreferrer noopener">For successful AI projects, celebrate your graveyard and be prepared to fail fast</a></li><li><a href="https://modern-cdo.medium.com/" target="_blank" rel="noreferrer noopener">Sandeep Uttamchandani - Medium</a></li><li><a href="https://www.linkedin.com/in/sandeepuc/" target="_blank" rel="noreferrer noopener">Sandeep Uttamchandani, Ph.D.</a></li><li><a href="https://twitter.com/sandeepu" target="_blank" rel="noreferrer noopener">Twitter: Sandeep Uttamchandan ( @sandeepu )</a></li></ul>      Picks      <ul><li>Ben- <a href="https://www.oreilly.com/library/view/the-self-service-data/9781492075240/" target="_blank" rel="noreferrer noopener">The Self-Service Data Roadmap</a></li><li>Charles- <a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">Level Up | Devchat.tv</a></li><li>Charles- <a href="https://candymountainresort.com/" target="_blank" rel="noreferrer noopener">Big Rock Candy Mountain Resort</a></li></ul>      Contact Ben:      <ul><li><a href="https://databricks.com/" target="_blank" rel="noreferrer noopener">Databricks</a></li><li><a href="https://github.com/BenWilson2/ML-Engineering" target="_blank" rel="noreferrer noopener">GitHub | BenWilson2/ML-Engineering</a></li><li><a href="https://github.com/databrickslabs/automl-toolkit" target="_blank" rel="noreferrer noopener">GitHub | databrickslabs/automl-toolkit</a></li><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn: Benjamin Wilson</a></li></ul>      Contact Charles:      <ul><li><a href="https://devchat.tv/" target="_blank" rel="noreferrer noopener">Devchat.tv</a></li><li><a href="https://www.facebook.com/DevChattv/" target="_blank" rel="noreferrer noopener">DevChat.tv | Facebook</a></li><li><a href="https://twitter.com/devchattv" target="_blank" rel="noreferrer noopener">Twitter: DevChat.tv ( @devchattv )</a></li></ul>  Special Guest: Sandeep Uttamchandani.Sponsored By:<ul><li><a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">Top End Devs Coaching</a>: <a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">If you have questions about how to grow your skills or take your career to the next level, join us on our next weekly coaching call. It's completely free.</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">b46e537e-d5e9-488d-9f48-4ae5d6d4d16f</guid><pubDate>Thu, 26 Aug 2021 08:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842224/stream.mp3" length="84465651" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Sandeep Uttamchandani joins the Adventure to discuss the relationships between Data Science and Machine Learning.      He walks through the ways you should set up, manage, and consider the data you use to build and train your Machine Learning systems...</itunes:subtitle><itunes:summary><![CDATA[Sandeep Uttamchandani joins the Adventure to discuss the relationships between Data Science and Machine Learning.      He walks through the ways you should set up, manage, and consider the data you use to build and train your Machine Learning systems to get the outcomes that you want.      Panel      <ul><li>Ben Wilson</li><li>Charles Max Wood</li></ul>      Guest      <ul><li>Sandeep Uttamchandani</li></ul>      Sponsors      <ul><li><a href="https://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a></li><li><a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">Level Up | Devchat.tv</a></li></ul>      Links      <ul><li><a href="https://towardsdatascience.com/51-things-that-can-go-wrong-in-a-real-world-ml-project-c36678065a75" target="_blank" rel="noreferrer noopener">98 things that can go wrong in an ML project</a></li><li><a href="https://amzn.to/3B4lqSC" target="_blank" rel="noreferrer noopener">The Self-Service Data Roadmap</a></li><li><a href="https://venturebeat.com/2021/06/19/how-to-build-a-unicorn-ai-team-without-unicorns/" target="_blank" rel="noreferrer noopener">How to build a unicorn AI team without unicorns</a></li><li><a href="https://towardsdatascience.com/for-successful-ai-projects-celebrate-your-graveyard-5e29945a70ad" target="_blank" rel="noreferrer noopener">For Successful AI Projects, Celebrate Your Graveyard</a></li><li><a href="https://www.dataforhumanity.org/" target="_blank" rel="noreferrer noopener">Data for Humanity</a></li><li><a href="https://techcrunch.com/2021/07/07/for-successful-ai-projects-celebrate-your-graveyard-and-be-prepared-to-fail-fast/" target="_blank" rel="noreferrer noopener">For successful AI projects, celebrate your graveyard and be prepared to fail fast</a></li><li><a href="https://modern-cdo.medium.com/" target="_blank" rel="noreferrer noopener">Sandeep Uttamchandani - Medium</a></li><li><a href="https://www.linkedin.com/in/sandeepuc/" target="_blank" rel="noreferrer noopener">Sandeep Uttamchandani, Ph.D.</a></li><li><a href="https://twitter.com/sandeepu" target="_blank" rel="noreferrer noopener">Twitter: Sandeep Uttamchandan ( @sandeepu )</a></li></ul>      Picks      <ul><li>Ben- <a href="https://www.oreilly.com/library/view/the-self-service-data/9781492075240/" target="_blank" rel="noreferrer noopener">The Self-Service Data Roadmap</a></li><li>Charles- <a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">Level Up | Devchat.tv</a></li><li>Charles- <a href="https://candymountainresort.com/" target="_blank" rel="noreferrer noopener">Big Rock Candy Mountain Resort</a></li></ul>      Contact Ben:      <ul><li><a href="https://databricks.com/" target="_blank" rel="noreferrer noopener">Databricks</a></li><li><a href="https://github.com/BenWilson2/ML-Engineering" target="_blank" rel="noreferrer noopener">GitHub | BenWilson2/ML-Engineering</a></li><li><a href="https://github.com/databrickslabs/automl-toolkit" target="_blank" rel="noreferrer noopener">GitHub | databrickslabs/automl-toolkit</a></li><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn: Benjamin Wilson</a></li></ul>      Contact Charles:      <ul><li><a href="https://devchat.tv/" target="_blank" rel="noreferrer noopener">Devchat.tv</a></li><li><a href="https://www.facebook.com/DevChattv/" target="_blank" rel="noreferrer noopener">DevChat.tv | Facebook</a></li><li><a href="https://twitter.com/devchattv" target="_blank" rel="noreferrer noopener">Twitter: DevChat.tv ( @devchattv )</a></li></ul>  Special Guest: Sandeep Uttamchandani.Sponsored By:<ul><li><a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">Top End Devs Coaching</a>: <a href="https://devchat.tv/levelup" target="_blank" rel="noreferrer noopener">If you have questions about how to grow your skills or take your career to the next level, join us on our next weekly coaching call....]]></itunes:summary><itunes:duration>4034</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>From Software Engineer to Data Engineer ft. Alexey Grigorev - ML 042</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/from-software-engineer-to-data-engineer-ft-alexey-grigorev-ml-042</link><description><![CDATA[Alexey Grigorev joins the Adventure to discuss how software engineers can begin making the transition from Software Engineer to Data Scientist in their career.      Ben Wilson also gets asked about this frequently and chimes in with his experience.      Panel      <ul><li>Charles Max Wood</li><li>Ben Wilson</li><li>Francois Bertrand</li></ul>      Guest      <ul><li>Alexey Grigorev </li></ul>      Sponsors      <ul><li><a href="https://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a></li></ul>      Links      <ul><li><a href="https://datatalks.club/podcast/s04e01-from-swe-to-ml.html" target="_blank" rel="noreferrer noopener">From Software Engineering to Machine Learning</a></li><li><a href="https://datatalks.club/courses/2021-winter-ml-zoomcamp.html" target="_blank" rel="noreferrer noopener">Machine Learning Zoomcamp</a></li><li><a href="https://datatalks.club/" target="_blank" rel="noreferrer noopener">Datatalks.Club</a></li><li><a href="https://www.linkedin.com/in/agrigorev/" target="_blank" rel="noreferrer noopener">LinkedIn: Alexey Grigorev </a></li><li><a href="https://twitter.com/Al_Grigor" target="_blank" rel="noreferrer noopener">Twitter: Alexey Grigorev ( @Al_Grigor )</a></li></ul>      Picks      <ul><li>Alexey- <a href="https://datatalks.club/podcast/s04e05-running-from-complexity.html" target="_blank" rel="noreferrer noopener">Running from Complexity</a></li><li>Ben- <a href="https://www.manning.com/books/machine-learning-bookcamp" target="_blank" rel="noreferrer noopener">Machine Learning Bookcamp</a></li><li>Charles- <a href="https://us02web.zoom.us/webinar/register/WN_AKNnB9CsQ7mwrYF1kuGEOA" target="_blank" rel="noreferrer noopener">Devchat.tv/levelup</a></li><li>Francois- <a href="https://www.youtube.com/watch?v=VMAPTo7RVCo" target="_blank" rel="noreferrer noopener">Cozy Fall Coffee Shop Ambience - YouTube</a></li></ul>      Contact Ben:      <ul><li><a href="https://databricks.com/" target="_blank" rel="noreferrer noopener">Databricks</a></li><li><a href="https://github.com/BenWilson2/ML-Engineering" target="_blank" rel="noreferrer noopener">GitHub | BenWilson2/ML-Engineering</a></li><li><a href="https://github.com/databrickslabs/automl-toolkit" target="_blank" rel="noreferrer noopener">GitHub | databrickslabs/automl-toolkit</a></li><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn: Benjamin Wilson</a></li></ul>      Contact Charles:      <ul><li><a href="https://devchat.tv/" target="_blank" rel="noreferrer noopener">Devchat.tv</a></li><li><a href="https://www.facebook.com/DevChattv/" target="_blank" rel="noreferrer noopener">DevChat.tv | Facebook</a></li><li><a href="https://twitter.com/devchattv" target="_blank" rel="noreferrer noopener">Twitter: DevChat.tv ( @devchattv )</a></li></ul>      Contact Francois:      <ul><li><a href="https://www.fbdesignpro.com/" target="_blank" rel="noreferrer noopener">Francois Bertrand</a></li><li><a href="https://github.com/fbdesignpro/sweetviz" target="_blank" rel="noreferrer noopener">GitHub | fbdesignpro/sweetviz</a></li></ul>  Special Guest: Alexey Grigorev.   <br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">33cd64f7-2d83-47e9-b419-ff9dc9661c68</guid><pubDate>Thu, 19 Aug 2021 08:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842163/stream.mp3" length="62868566" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Alexey Grigorev joins the Adventure to discuss how software engineers can begin making the transition from Software Engineer to Data Scientist in their career.      Ben Wilson also gets asked about this frequently and chimes in with his experience....</itunes:subtitle><itunes:summary><![CDATA[Alexey Grigorev joins the Adventure to discuss how software engineers can begin making the transition from Software Engineer to Data Scientist in their career.      Ben Wilson also gets asked about this frequently and chimes in with his experience.      Panel      <ul><li>Charles Max Wood</li><li>Ben Wilson</li><li>Francois Bertrand</li></ul>      Guest      <ul><li>Alexey Grigorev </li></ul>      Sponsors      <ul><li><a href="https://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a></li></ul>      Links      <ul><li><a href="https://datatalks.club/podcast/s04e01-from-swe-to-ml.html" target="_blank" rel="noreferrer noopener">From Software Engineering to Machine Learning</a></li><li><a href="https://datatalks.club/courses/2021-winter-ml-zoomcamp.html" target="_blank" rel="noreferrer noopener">Machine Learning Zoomcamp</a></li><li><a href="https://datatalks.club/" target="_blank" rel="noreferrer noopener">Datatalks.Club</a></li><li><a href="https://www.linkedin.com/in/agrigorev/" target="_blank" rel="noreferrer noopener">LinkedIn: Alexey Grigorev </a></li><li><a href="https://twitter.com/Al_Grigor" target="_blank" rel="noreferrer noopener">Twitter: Alexey Grigorev ( @Al_Grigor )</a></li></ul>      Picks      <ul><li>Alexey- <a href="https://datatalks.club/podcast/s04e05-running-from-complexity.html" target="_blank" rel="noreferrer noopener">Running from Complexity</a></li><li>Ben- <a href="https://www.manning.com/books/machine-learning-bookcamp" target="_blank" rel="noreferrer noopener">Machine Learning Bookcamp</a></li><li>Charles- <a href="https://us02web.zoom.us/webinar/register/WN_AKNnB9CsQ7mwrYF1kuGEOA" target="_blank" rel="noreferrer noopener">Devchat.tv/levelup</a></li><li>Francois- <a href="https://www.youtube.com/watch?v=VMAPTo7RVCo" target="_blank" rel="noreferrer noopener">Cozy Fall Coffee Shop Ambience - YouTube</a></li></ul>      Contact Ben:      <ul><li><a href="https://databricks.com/" target="_blank" rel="noreferrer noopener">Databricks</a></li><li><a href="https://github.com/BenWilson2/ML-Engineering" target="_blank" rel="noreferrer noopener">GitHub | BenWilson2/ML-Engineering</a></li><li><a href="https://github.com/databrickslabs/automl-toolkit" target="_blank" rel="noreferrer noopener">GitHub | databrickslabs/automl-toolkit</a></li><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn: Benjamin Wilson</a></li></ul>      Contact Charles:      <ul><li><a href="https://devchat.tv/" target="_blank" rel="noreferrer noopener">Devchat.tv</a></li><li><a href="https://www.facebook.com/DevChattv/" target="_blank" rel="noreferrer noopener">DevChat.tv | Facebook</a></li><li><a href="https://twitter.com/devchattv" target="_blank" rel="noreferrer noopener">Twitter: DevChat.tv ( @devchattv )</a></li></ul>      Contact Francois:      <ul><li><a href="https://www.fbdesignpro.com/" target="_blank" rel="noreferrer noopener">Francois Bertrand</a></li><li><a href="https://github.com/fbdesignpro/sweetviz" target="_blank" rel="noreferrer noopener">GitHub | fbdesignpro/sweetviz</a></li></ul>  Special Guest: Alexey Grigorev.   <br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2954</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Writing Production Code for ML ft. Ken Youens-Clark - ML 041</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/writing-production-code-for-ml-ft-ken-youens-clark-ml-041</link><description><![CDATA[Ken Youens-Clark joins the adventure to discuss how to write well factored code with tests to help ML be more approachable. He, Ben, and Chuck discuss what it takes to write good code that runs efficiently, is easy to maintain, and still get ML work done.      Panel      <ul><li>Ben Wilson</li><li>Charles Max Wood</li></ul>      Guest      <ul><li>Ken Youens-Clark</li></ul>      Links      <ul><li><a href="https://github.com/kyclark" target="_blank" rel="noreferrer noopener">GitHub: Ken Youens-Clark ( kyclark )</a></li><li><a href="https://twitter.com/kycl4rk" target="_blank" rel="noreferrer noopener">Twitter: Ken Youens-Clark ( @kycl4rk )</a></li></ul>      Picks      <ul><li>Ben- <a href="https://en.wikipedia.org/wiki/David_Thorne_(writer)" target="_blank" rel="noreferrer noopener">David Thorne</a> </li><li>Charles- <a href="https://www.xero.com/" target="_blank" rel="noreferrer noopener">Xero</a></li><li>Charles- <a href="https://fireside.fm/" target="_blank" rel="noreferrer noopener">Fireside</a></li><li>Charles- <a href="https://us02web.zoom.us/webinar/register/WN_AKNnB9CsQ7mwrYF1kuGEOA" target="_blank" rel="noreferrer noopener"></a><a href="https://us02web.zoom.us/webinar/register/WN_AKNnB9CsQ7mwrYF1kuGEOA" target="_blank" rel="noreferrer noopener">Devchat.tv/levelup</a></li><li>Ken- Meditation and Mindfulness </li></ul>      Contact Ben:      <ul><li><a href="https://databricks.com/" target="_blank" rel="noreferrer noopener">Databricks</a></li><li><a href="https://github.com/BenWilson2/ML-Engineering" target="_blank" rel="noreferrer noopener">GitHub | BenWilson2/ML-Engineering</a></li><li><a href="https://github.com/databrickslabs/automl-toolkit" target="_blank" rel="noreferrer noopener">GitHub | databrickslabs/automl-toolkit</a></li><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn: Benjamin Wilson</a></li></ul>      Contact Charles:      <ul><li><a href="https://devchat.tv/" target="_blank" rel="noreferrer noopener">Devchat.tv</a></li><li><a href="https://www.facebook.com/DevChattv/" target="_blank" rel="noreferrer noopener">DevChat.tv | Facebook</a></li><li><a href="https://twitter.com/devchattv" target="_blank" rel="noreferrer noopener">Twitter: DevChat.tv ( @devchattv )</a></li></ul>  Special Guest: Ken Youens-Clark.   <br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">5da0b159-3c6a-4d47-bad1-102656fba5f7</guid><pubDate>Thu, 12 Aug 2021 08:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842225/stream.mp3" length="87217284" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Ken Youens-Clark joins the adventure to discuss how to write well factored code with tests to help ML be more approachable. He, Ben, and Chuck discuss what it takes to write good code that runs efficiently, is easy to maintain, and still get ML work...</itunes:subtitle><itunes:summary><![CDATA[Ken Youens-Clark joins the adventure to discuss how to write well factored code with tests to help ML be more approachable. He, Ben, and Chuck discuss what it takes to write good code that runs efficiently, is easy to maintain, and still get ML work done.      Panel      <ul><li>Ben Wilson</li><li>Charles Max Wood</li></ul>      Guest      <ul><li>Ken Youens-Clark</li></ul>      Links      <ul><li><a href="https://github.com/kyclark" target="_blank" rel="noreferrer noopener">GitHub: Ken Youens-Clark ( kyclark )</a></li><li><a href="https://twitter.com/kycl4rk" target="_blank" rel="noreferrer noopener">Twitter: Ken Youens-Clark ( @kycl4rk )</a></li></ul>      Picks      <ul><li>Ben- <a href="https://en.wikipedia.org/wiki/David_Thorne_(writer)" target="_blank" rel="noreferrer noopener">David Thorne</a> </li><li>Charles- <a href="https://www.xero.com/" target="_blank" rel="noreferrer noopener">Xero</a></li><li>Charles- <a href="https://fireside.fm/" target="_blank" rel="noreferrer noopener">Fireside</a></li><li>Charles- <a href="https://us02web.zoom.us/webinar/register/WN_AKNnB9CsQ7mwrYF1kuGEOA" target="_blank" rel="noreferrer noopener"></a><a href="https://us02web.zoom.us/webinar/register/WN_AKNnB9CsQ7mwrYF1kuGEOA" target="_blank" rel="noreferrer noopener">Devchat.tv/levelup</a></li><li>Ken- Meditation and Mindfulness </li></ul>      Contact Ben:      <ul><li><a href="https://databricks.com/" target="_blank" rel="noreferrer noopener">Databricks</a></li><li><a href="https://github.com/BenWilson2/ML-Engineering" target="_blank" rel="noreferrer noopener">GitHub | BenWilson2/ML-Engineering</a></li><li><a href="https://github.com/databrickslabs/automl-toolkit" target="_blank" rel="noreferrer noopener">GitHub | databrickslabs/automl-toolkit</a></li><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn: Benjamin Wilson</a></li></ul>      Contact Charles:      <ul><li><a href="https://devchat.tv/" target="_blank" rel="noreferrer noopener">Devchat.tv</a></li><li><a href="https://www.facebook.com/DevChattv/" target="_blank" rel="noreferrer noopener">DevChat.tv | Facebook</a></li><li><a href="https://twitter.com/devchattv" target="_blank" rel="noreferrer noopener">Twitter: DevChat.tv ( @devchattv )</a></li></ul>  Special Guest: Ken Youens-Clark.   <br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>4171</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Machine Learning for Tabular Data in Practice ft. Mark Ryan - ML 040</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/machine-learning-for-tabular-data-in-practice-ft-mark-ryan-ml-040</link><description><![CDATA[Mark Ryan is our first returning guest to the Adventure. He has created a video series for Manning showing how to use Machine Learning for Tabular data.      He walks Ben Wilson through the ins and outs of applying Deep Learning to tabular data sets and the how to find instances where this practice might be the right solution.      Panel      <ul><li>Ben Wilson</li></ul>      Guest      <ul><li>Mark Ryan</li></ul>      Sponsors      <ul><li><a href="http://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a></li></ul>      Links      <ul><li><a href="https://www.manning.com/books/deep-learning-with-structured-data" target="_blank" rel="noreferrer noopener">Deep Learning with Structured Data | Manning</a></li><li><a href="https://www.manning.com/liveproject/prepare-tabular-data" target="_blank" rel="noreferrer noopener">Prepare Tabular Data | Manning</a></li><li><a href="https://www.youtube.com/channel/UC33c02d4_ssg0tGO3EXKG8g" target="_blank" rel="noreferrer noopener">Mark Ryan - YouTube</a></li><li><a href="https://github.com/ryanmark1867" target="_blank" rel="noreferrer noopener">GitHub: Mark Ryan ( ryanmark1867 )</a></li><li><a href="https://twitter.com/MarkRyanMkm" target="_blank" rel="noreferrer noopener">Twitter: Mark Ryan ( @MarkRyanMkm )</a></li></ul>      Contact Ben:      <ul><li><a href="https://databricks.com/" target="_blank" rel="noreferrer noopener">Databricks</a></li><li><a href="https://github.com/BenWilson2/ML-Engineering" target="_blank" rel="noreferrer noopener">GitHub | BenWilson2/ML-Engineering</a></li><li><a href="https://github.com/databrickslabs/automl-toolkit" target="_blank" rel="noreferrer noopener">GitHub | databrickslabs/automl-toolkit</a></li><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn: Benjamin Wilson</a></li></ul>  Special Guest: Mark Ryan.   <br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">535cb8b8-8c16-44d3-8278-353a80f73953</guid><pubDate>Thu, 05 Aug 2021 08:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842194/stream.mp3" length="62706252" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Mark Ryan is our first returning guest to the Adventure. He has created a video series for Manning showing how to use Machine Learning for Tabular data.      He walks Ben Wilson through the ins and outs of applying Deep Learning to tabular data sets...</itunes:subtitle><itunes:summary><![CDATA[Mark Ryan is our first returning guest to the Adventure. He has created a video series for Manning showing how to use Machine Learning for Tabular data.      He walks Ben Wilson through the ins and outs of applying Deep Learning to tabular data sets and the how to find instances where this practice might be the right solution.      Panel      <ul><li>Ben Wilson</li></ul>      Guest      <ul><li>Mark Ryan</li></ul>      Sponsors      <ul><li><a href="http://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a></li></ul>      Links      <ul><li><a href="https://www.manning.com/books/deep-learning-with-structured-data" target="_blank" rel="noreferrer noopener">Deep Learning with Structured Data | Manning</a></li><li><a href="https://www.manning.com/liveproject/prepare-tabular-data" target="_blank" rel="noreferrer noopener">Prepare Tabular Data | Manning</a></li><li><a href="https://www.youtube.com/channel/UC33c02d4_ssg0tGO3EXKG8g" target="_blank" rel="noreferrer noopener">Mark Ryan - YouTube</a></li><li><a href="https://github.com/ryanmark1867" target="_blank" rel="noreferrer noopener">GitHub: Mark Ryan ( ryanmark1867 )</a></li><li><a href="https://twitter.com/MarkRyanMkm" target="_blank" rel="noreferrer noopener">Twitter: Mark Ryan ( @MarkRyanMkm )</a></li></ul>      Contact Ben:      <ul><li><a href="https://databricks.com/" target="_blank" rel="noreferrer noopener">Databricks</a></li><li><a href="https://github.com/BenWilson2/ML-Engineering" target="_blank" rel="noreferrer noopener">GitHub | BenWilson2/ML-Engineering</a></li><li><a href="https://github.com/databrickslabs/automl-toolkit" target="_blank" rel="noreferrer noopener">GitHub | databrickslabs/automl-toolkit</a></li><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn: Benjamin Wilson</a></li></ul>  Special Guest: Mark Ryan.   <br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2946</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Transformers and Attention in Machine Learning ft. Ekrem Aksoy - ML 039</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/transformers-and-attention-in-machine-learning-ft-ekrem-aksoy-ml-039</link><description><![CDATA[Ekrem Aksoy joins the adventure to discuss transformers and the method of helping Machine Learning algorithms focus on the important parts of an image to determine what to do.    Panel    <ul><li>Ben Wilson</li><li>Charles Max Wood</li><li>Daniel Svoboda</li><li>Francois Bertrand</li></ul>    Guest    <ul><li>Ekrem Aksoy</li></ul>    Sponsors    <ul><li><a href="http://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a></li></ul>    Links    <ul><li><a href="https://ekremaksoy.medium.com/attention-to-transformers-595775bf5c17" target="_blank" rel="noreferrer noopener">Attention to Transformers</a></li><li><a href="https://thegradient.pub/attention-in-human-brain-and-its-applications-in-ml/" target="_blank" rel="noreferrer noopener">Attention in the Human Brain and Its Applications in ML</a></li><li><a href="https://arxiv.org/abs/2002.11020" target="_blank" rel="noreferrer noopener">See, Attend and Brake: An Attention-based Saliency Map Prediction Model for End-to-End Driving</a></li><li><a href="https://ekremaksoy.medium.com/" target="_blank" rel="noreferrer noopener">Ekrem Aksoy - Medium</a></li><li><a href="https://thegradient.pub/author/ekremaksoy/" target="_blank" rel="noreferrer noopener">Ekrem Aksoy, PhD - Gradient</a></li><li><a href="https://www.linkedin.com/in/ekremaksoy/" target="_blank" rel="noreferrer noopener">LinkedIn: Ekrem Aksoy</a></li></ul>    Picks    <ul><li>Ben- Read all the blog posts in this episode</li><li>Charles- <a href="https://www.xero.com/" target="_blank" rel="noreferrer noopener">Accounting software | Xero</a></li><li>Charles- <a href="https://amzn.to/2TtUWts" target="_blank" rel="noreferrer noopener">The Prosperous Coach</a></li><li>Daniel- <a href="https://www.amazon.com/Debt-Updated-and-Expanded-audiobook/dp/B015F0BBFW/ref=sr_1_1?dchild=1&amp;keywords=debt+book&amp;qid=1627524256&amp;sr=8-1" target="_blank" rel="noreferrer noopener">Debt - Updated and Expanded: The First 5,000 Years </a></li><li>Ekrem- <a href="https://www.amazon.com/Book-Why-Science-Cause-Effect/dp/046509760X" target="_blank" rel="noreferrer noopener">The Book of Why: The New Science of Cause and Effect</a></li><li>Ekrem- <a href="https://www.frontiersin.org/articles/10.3389/fncom.2020.00029/full" target="_blank" rel="noreferrer noopener">Attention in Psychology, Neuroscience, and Machine Learning</a></li></ul>    Contact Ben:    <ul><li><a href="https://databricks.com/" target="_blank" rel="noreferrer noopener">Databricks</a></li><li><a href="https://github.com/BenWilson2/ML-Engineering" target="_blank" rel="noreferrer noopener">GitHub | BenWilson2/ML-Engineering</a></li><li><a href="https://github.com/databrickslabs/automl-toolkit" target="_blank" rel="noreferrer noopener">GitHub | databrickslabs/automl-toolkit</a></li><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn: Benjamin Wilson</a></li></ul>    Contact Charles:    <ul><li><a href="https://devchat.tv/" target="_blank" rel="noreferrer noopener">Devchat.tv</a></li><li><a href="https://www.facebook.com/DevChattv/" target="_blank" rel="noreferrer noopener">DevChat.tv | Facebook</a></li><li><a href="https://twitter.com/devchattv" target="_blank" rel="noreferrer noopener">Twitter: DevChat.tv ( @devchattv )</a></li></ul>    Contact Francois:    <ul><li><a href="https://www.fbdesignpro.com/" target="_blank" rel="noreferrer noopener">Francois Bertrand</a></li><li><a href="https://github.com/fbdesignpro/sweetviz" target="_blank" rel="noreferrer noopener">GitHub | fbdesignpro/sweetviz</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">0a3afc51-3c4d-4506-b48d-008a0159e663</guid><pubDate>Thu, 29 Jul 2021 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842221/stream.mp3" length="77840267" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Ekrem Aksoy joins the adventure to discuss transformers and the method of helping Machine Learning algorithms focus on the important parts of an image to determine what to do.    Panel    
- Ben Wilson
- Charles Max Wood
- Daniel Svoboda
- Francois...</itunes:subtitle><itunes:summary><![CDATA[Ekrem Aksoy joins the adventure to discuss transformers and the method of helping Machine Learning algorithms focus on the important parts of an image to determine what to do.    Panel    <ul><li>Ben Wilson</li><li>Charles Max Wood</li><li>Daniel Svoboda</li><li>Francois Bertrand</li></ul>    Guest    <ul><li>Ekrem Aksoy</li></ul>    Sponsors    <ul><li><a href="http://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a></li></ul>    Links    <ul><li><a href="https://ekremaksoy.medium.com/attention-to-transformers-595775bf5c17" target="_blank" rel="noreferrer noopener">Attention to Transformers</a></li><li><a href="https://thegradient.pub/attention-in-human-brain-and-its-applications-in-ml/" target="_blank" rel="noreferrer noopener">Attention in the Human Brain and Its Applications in ML</a></li><li><a href="https://arxiv.org/abs/2002.11020" target="_blank" rel="noreferrer noopener">See, Attend and Brake: An Attention-based Saliency Map Prediction Model for End-to-End Driving</a></li><li><a href="https://ekremaksoy.medium.com/" target="_blank" rel="noreferrer noopener">Ekrem Aksoy - Medium</a></li><li><a href="https://thegradient.pub/author/ekremaksoy/" target="_blank" rel="noreferrer noopener">Ekrem Aksoy, PhD - Gradient</a></li><li><a href="https://www.linkedin.com/in/ekremaksoy/" target="_blank" rel="noreferrer noopener">LinkedIn: Ekrem Aksoy</a></li></ul>    Picks    <ul><li>Ben- Read all the blog posts in this episode</li><li>Charles- <a href="https://www.xero.com/" target="_blank" rel="noreferrer noopener">Accounting software | Xero</a></li><li>Charles- <a href="https://amzn.to/2TtUWts" target="_blank" rel="noreferrer noopener">The Prosperous Coach</a></li><li>Daniel- <a href="https://www.amazon.com/Debt-Updated-and-Expanded-audiobook/dp/B015F0BBFW/ref=sr_1_1?dchild=1&amp;keywords=debt+book&amp;qid=1627524256&amp;sr=8-1" target="_blank" rel="noreferrer noopener">Debt - Updated and Expanded: The First 5,000 Years </a></li><li>Ekrem- <a href="https://www.amazon.com/Book-Why-Science-Cause-Effect/dp/046509760X" target="_blank" rel="noreferrer noopener">The Book of Why: The New Science of Cause and Effect</a></li><li>Ekrem- <a href="https://www.frontiersin.org/articles/10.3389/fncom.2020.00029/full" target="_blank" rel="noreferrer noopener">Attention in Psychology, Neuroscience, and Machine Learning</a></li></ul>    Contact Ben:    <ul><li><a href="https://databricks.com/" target="_blank" rel="noreferrer noopener">Databricks</a></li><li><a href="https://github.com/BenWilson2/ML-Engineering" target="_blank" rel="noreferrer noopener">GitHub | BenWilson2/ML-Engineering</a></li><li><a href="https://github.com/databrickslabs/automl-toolkit" target="_blank" rel="noreferrer noopener">GitHub | databrickslabs/automl-toolkit</a></li><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn: Benjamin Wilson</a></li></ul>    Contact Charles:    <ul><li><a href="https://devchat.tv/" target="_blank" rel="noreferrer noopener">Devchat.tv</a></li><li><a href="https://www.facebook.com/DevChattv/" target="_blank" rel="noreferrer noopener">DevChat.tv | Facebook</a></li><li><a href="https://twitter.com/devchattv" target="_blank" rel="noreferrer noopener">Twitter: DevChat.tv ( @devchattv )</a></li></ul>    Contact Francois:    <ul><li><a href="https://www.fbdesignpro.com/" target="_blank" rel="noreferrer noopener">Francois Bertrand</a></li><li><a href="https://github.com/fbdesignpro/sweetviz" target="_blank" rel="noreferrer noopener">GitHub | fbdesignpro/sweetviz</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a...]]></itunes:summary><itunes:duration>3703</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Mentorship in Machine Learning - ML 038</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/mentorship-in-machine-learning-ml-038</link><description><![CDATA[Ben Wilson explains the recent developments at DataBricks with their Machine Learning mentorship program for some of their experts. He talks about his approach to helping the Data Scientists and Developers he's mentoring to understand Machine Learning more deeply and gives advice on how others could and should drive their career forward with Machine Learning.    Panel    <ul><li>Ben Wilson</li><li>Charles Max Wood</li><li>Daniel Svoboda</li></ul>    Sponsors    <ul><li><a href="http://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a></li></ul>    Picks    <ul><li>Ben- Exploring HD music on Amazon Prime</li><li>Charles- <a href="https://www.foodnetwork.com/recipes/articles/50-grilled-cheese" target="_blank" rel="noreferrer noopener">50 Grilled Cheese</a></li><li>Charles- <a href="https://amzn.to/2VPW0J7" target="_blank" rel="noreferrer noopener">The Prosperous Coach</a></li><li>Charles- <a href="https://kajabi.com/?utm_campaign=home_trial&amp;utm_content=2147506961&amp;utm_medium=affiliate&amp;utm_source=Intentional+Excellence+Productions%2C+LLC" target="_blank" rel="noreferrer noopener">Kajabi</a></li><li>Daniel- <a href="https://amzn.to/2UBEwjl" target="_blank" rel="noreferrer noopener">Debt - Updated and Expanded: The First 5,000 Years </a></li></ul>    Contact Ben:    <ul><li><a href="https://databricks.com/" target="_blank" rel="noreferrer noopener">Databricks</a></li><li><a href="https://github.com/BenWilson2/ML-Engineering" target="_blank" rel="noreferrer noopener">GitHub | BenWilson2/ML-Engineering</a></li><li><a href="https://github.com/databrickslabs/automl-toolkit" target="_blank" rel="noreferrer noopener">GitHub | databrickslabs/automl-toolkit</a></li><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn: Benjamin Wilson</a></li></ul>    Contact Charles:    <ul><li><a href="https://devchat.tv/" target="_blank" rel="noreferrer noopener">Devchat.tv</a></li><li><a href="https://www.facebook.com/DevChattv/" target="_blank" rel="noreferrer noopener">DevChat.tv | Facebook</a></li><li><a href="https://twitter.com/devchattv" target="_blank" rel="noreferrer noopener">Twitter: DevChat.tv ( @devchattv )</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">06b70b7a-67b0-42d8-92e5-9856a99d156d</guid><pubDate>Thu, 22 Jul 2021 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842164/stream.mp3" length="82419991" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Ben Wilson explains the recent developments at DataBricks with their Machine Learning mentorship program for some of their experts. He talks about his approach to helping the Data Scientists and Developers he's mentoring to understand Machine Learning...</itunes:subtitle><itunes:summary><![CDATA[Ben Wilson explains the recent developments at DataBricks with their Machine Learning mentorship program for some of their experts. He talks about his approach to helping the Data Scientists and Developers he's mentoring to understand Machine Learning more deeply and gives advice on how others could and should drive their career forward with Machine Learning.    Panel    <ul><li>Ben Wilson</li><li>Charles Max Wood</li><li>Daniel Svoboda</li></ul>    Sponsors    <ul><li><a href="http://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a></li></ul>    Picks    <ul><li>Ben- Exploring HD music on Amazon Prime</li><li>Charles- <a href="https://www.foodnetwork.com/recipes/articles/50-grilled-cheese" target="_blank" rel="noreferrer noopener">50 Grilled Cheese</a></li><li>Charles- <a href="https://amzn.to/2VPW0J7" target="_blank" rel="noreferrer noopener">The Prosperous Coach</a></li><li>Charles- <a href="https://kajabi.com/?utm_campaign=home_trial&amp;utm_content=2147506961&amp;utm_medium=affiliate&amp;utm_source=Intentional+Excellence+Productions%2C+LLC" target="_blank" rel="noreferrer noopener">Kajabi</a></li><li>Daniel- <a href="https://amzn.to/2UBEwjl" target="_blank" rel="noreferrer noopener">Debt - Updated and Expanded: The First 5,000 Years </a></li></ul>    Contact Ben:    <ul><li><a href="https://databricks.com/" target="_blank" rel="noreferrer noopener">Databricks</a></li><li><a href="https://github.com/BenWilson2/ML-Engineering" target="_blank" rel="noreferrer noopener">GitHub | BenWilson2/ML-Engineering</a></li><li><a href="https://github.com/databrickslabs/automl-toolkit" target="_blank" rel="noreferrer noopener">GitHub | databrickslabs/automl-toolkit</a></li><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn: Benjamin Wilson</a></li></ul>    Contact Charles:    <ul><li><a href="https://devchat.tv/" target="_blank" rel="noreferrer noopener">Devchat.tv</a></li><li><a href="https://www.facebook.com/DevChattv/" target="_blank" rel="noreferrer noopener">DevChat.tv | Facebook</a></li><li><a href="https://twitter.com/devchattv" target="_blank" rel="noreferrer noopener">Twitter: DevChat.tv ( @devchattv )</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3932</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Productionized Machine Learning Engineers featuring Laszlo Sragner - ML 037</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/productionized-machine-learning-engineers-featuring-laszlo-sragner-ml-037</link><description><![CDATA[Laszlo Sragner joins the adventure to discuss how to make your machine learning approach production ready. The discussion ranges through code quality and how to build and manage your models to keep them production ready and delivering the outcomes you're looking for.    Panel    <ul><li>Ben Wilson</li><li>Charles Max Wood</li><li>Francois Bertrand</li></ul>    Guest    <ul><li>Laszlo Sragner</li></ul>    Sponsors    <ul><li><a href="http://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a></li></ul>    Links    <ul><li><a href="https://laszlo.substack.com/" target="_blank" rel="noreferrer noopener">Laszlo's Newsletter</a></li><li><a href="https://laszlo.substack.com/p/problem-solving-in-industrial-machine" target="_blank" rel="noreferrer noopener">How to solve Machine Learning problems for production? (Part 1)</a></li><li><a href="https://laszlo.substack.com/p/how-to-solve-machine-learning-problems" target="_blank" rel="noreferrer noopener">How to solve Machine Learning problems for production? (Part 2)</a></li><li><a href="https://laszlo.substack.com/p/need-for-speed-why-high-quality-code" target="_blank" rel="noreferrer noopener">Need for Speed: Why High Quality Code Matters in Data Science</a></li><li><a href="https://www.linkedin.com/in/laszlosragner/" target="_blank" rel="noreferrer noopener">LinkedIn: Laszlo Sragner</a></li></ul>    Picks    <ul><li>Ben- <a href="https://laszlo.substack.com/" target="_blank" rel="noreferrer noopener">Laszlo's Newsletter</a></li><li>Charles- <a href="https://amzn.to/3iaxQjQ" target="_blank" rel="noreferrer noopener">The Ruthless Elimination of Hurry</a></li><li>Charles- <a href="https://www.amazon.com/Atlas-Shrugged-Ayn-Rand-audiobook/dp/B001MXQ7AQ/ref=as_li_ss_tl?crid=2J1O67F9Z27Y2&amp;dchild=1&amp;keywords=atlas+shrugged&amp;language=en_US&amp;linkCode=sl1&amp;linkId=a0279655f6814fd24f6f33d8147755ce&amp;qid=1626232842&amp;s=audible&amp;sprefix=atlas%2Caudible%2C378&amp;sr=1-1&amp;tag=devchattv-20" target="_blank" rel="noreferrer noopener">Atlas Shrugged</a></li><li>Charles- <a href="https://amzn.to/3r6rHt4" target="_blank" rel="noreferrer noopener">Oathbringer </a></li><li>Charles- <a href="https://www.strava.com/" target="_blank" rel="noreferrer noopener">Strava</a></li><li>Francois- <a href="https://www.audible.com/ep/freetrial?Matchtype=e&amp;cvo_campaign=621253423&amp;cvo_crid=474982287351&amp;cvosrc=ppc.google.audible&amp;device=d&amp;ds_rl=1260658&amp;gclid=CjwKCAjw87SHBhBiEiwAukSeUW6maWzQc5xGvKgWVvr_aisZ9GKCl4BDDG9a_SYeEIwl_u-AFRgdjRoCfgIQAvD_BwE&amp;gclsrc=aw.ds&amp;source_code=GO1GBSH09091690E3" target="_blank" rel="noreferrer noopener">Audible</a></li><li>Laszlo- <a href="https://amzn.to/3AZ6oOI" target="_blank" rel="noreferrer noopener">Software Engineering at Google</a></li><li>Laszlo- <a href="https://amzn.to/3kfy6kl" target="_blank" rel="noreferrer noopener">Move Fast and Break Things</a></li></ul>    Contact Ben:    <ul><li><a href="https://databricks.com/" target="_blank" rel="noreferrer noopener">Databricks</a></li><li><a href="https://github.com/BenWilson2/ML-Engineering" target="_blank" rel="noreferrer noopener">GitHub | BenWilson2/ML-Engineering</a></li><li><a href="https://github.com/databrickslabs/automl-toolkit" target="_blank" rel="noreferrer noopener">GitHub | databrickslabs/automl-toolkit</a></li><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn: Benjamin Wilson</a></li></ul>    Contact Charles:    <ul><li><a href="https://devchat.tv/" target="_blank" rel="noreferrer noopener">Devchat.tv</a></li><li><a href="https://www.facebook.com/DevChattv/" target="_blank" rel="noreferrer noopener">DevChat.tv | Facebook</a></li><li><a href="https://twitter.com/devchattv" target="_blank" rel="noreferrer noopener">Twitter: DevChat.tv ( @devchattv )</a></li></ul>    Contact Francois:    <ul><li><a href="https://www.fbdesignpro.com/" target="_blank" rel="noreferrer noopener">Francois Bertrand</a></li><li><a href="https://github.com/fbdesignpro/sweetviz" target="_blank" rel="noreferrer noopener">GitHub | fbdesignpro/sweetviz</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">9fd830f9-7885-41c2-a87f-7988423ea3fe</guid><pubDate>Tue, 13 Jul 2021 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842183/stream.mp3" length="74670055" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Laszlo Sragner joins the adventure to discuss how to make your machine learning approach production ready. The discussion ranges through code quality and how to build and manage your models to keep them production ready and delivering the outcomes...</itunes:subtitle><itunes:summary><![CDATA[Laszlo Sragner joins the adventure to discuss how to make your machine learning approach production ready. The discussion ranges through code quality and how to build and manage your models to keep them production ready and delivering the outcomes you're looking for.    Panel    <ul><li>Ben Wilson</li><li>Charles Max Wood</li><li>Francois Bertrand</li></ul>    Guest    <ul><li>Laszlo Sragner</li></ul>    Sponsors    <ul><li><a href="http://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a></li></ul>    Links    <ul><li><a href="https://laszlo.substack.com/" target="_blank" rel="noreferrer noopener">Laszlo's Newsletter</a></li><li><a href="https://laszlo.substack.com/p/problem-solving-in-industrial-machine" target="_blank" rel="noreferrer noopener">How to solve Machine Learning problems for production? (Part 1)</a></li><li><a href="https://laszlo.substack.com/p/how-to-solve-machine-learning-problems" target="_blank" rel="noreferrer noopener">How to solve Machine Learning problems for production? (Part 2)</a></li><li><a href="https://laszlo.substack.com/p/need-for-speed-why-high-quality-code" target="_blank" rel="noreferrer noopener">Need for Speed: Why High Quality Code Matters in Data Science</a></li><li><a href="https://www.linkedin.com/in/laszlosragner/" target="_blank" rel="noreferrer noopener">LinkedIn: Laszlo Sragner</a></li></ul>    Picks    <ul><li>Ben- <a href="https://laszlo.substack.com/" target="_blank" rel="noreferrer noopener">Laszlo's Newsletter</a></li><li>Charles- <a href="https://amzn.to/3iaxQjQ" target="_blank" rel="noreferrer noopener">The Ruthless Elimination of Hurry</a></li><li>Charles- <a href="https://www.amazon.com/Atlas-Shrugged-Ayn-Rand-audiobook/dp/B001MXQ7AQ/ref=as_li_ss_tl?crid=2J1O67F9Z27Y2&amp;dchild=1&amp;keywords=atlas+shrugged&amp;language=en_US&amp;linkCode=sl1&amp;linkId=a0279655f6814fd24f6f33d8147755ce&amp;qid=1626232842&amp;s=audible&amp;sprefix=atlas%2Caudible%2C378&amp;sr=1-1&amp;tag=devchattv-20" target="_blank" rel="noreferrer noopener">Atlas Shrugged</a></li><li>Charles- <a href="https://amzn.to/3r6rHt4" target="_blank" rel="noreferrer noopener">Oathbringer </a></li><li>Charles- <a href="https://www.strava.com/" target="_blank" rel="noreferrer noopener">Strava</a></li><li>Francois- <a href="https://www.audible.com/ep/freetrial?Matchtype=e&amp;cvo_campaign=621253423&amp;cvo_crid=474982287351&amp;cvosrc=ppc.google.audible&amp;device=d&amp;ds_rl=1260658&amp;gclid=CjwKCAjw87SHBhBiEiwAukSeUW6maWzQc5xGvKgWVvr_aisZ9GKCl4BDDG9a_SYeEIwl_u-AFRgdjRoCfgIQAvD_BwE&amp;gclsrc=aw.ds&amp;source_code=GO1GBSH09091690E3" target="_blank" rel="noreferrer noopener">Audible</a></li><li>Laszlo- <a href="https://amzn.to/3AZ6oOI" target="_blank" rel="noreferrer noopener">Software Engineering at Google</a></li><li>Laszlo- <a href="https://amzn.to/3kfy6kl" target="_blank" rel="noreferrer noopener">Move Fast and Break Things</a></li></ul>    Contact Ben:    <ul><li><a href="https://databricks.com/" target="_blank" rel="noreferrer noopener">Databricks</a></li><li><a href="https://github.com/BenWilson2/ML-Engineering" target="_blank" rel="noreferrer noopener">GitHub | BenWilson2/ML-Engineering</a></li><li><a href="https://github.com/databrickslabs/automl-toolkit" target="_blank" rel="noreferrer noopener">GitHub | databrickslabs/automl-toolkit</a></li><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn: Benjamin Wilson</a></li></ul>    Contact Charles:    <ul><li><a href="https://devchat.tv/" target="_blank" rel="noreferrer noopener">Devchat.tv</a></li><li><a href="https://www.facebook.com/DevChattv/" target="_blank" rel="noreferrer noopener">DevChat.tv | Facebook</a></li><li><a href="https://twitter.com/devchattv" target="_blank" rel="noreferrer noopener">Twitter: DevChat.tv ( @devchattv )</a></li></ul>    Contact Francois:    <ul><li><a href="https://www.fbdesignpro.com/" target="_blank"...]]></itunes:summary><itunes:duration>3544</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Data Pipelines with Metaflow featuring Ville Tuulos - ML 036</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/data-pipelines-with-metaflow-featuring-ville-tuulos-ml-036</link><description><![CDATA[Ville Tuulos is a former Netflix data scientist and engineer who now helps people manage their data pipelines. He's the author of Effective Data Science Infrastructure from Manning publishing and the creator of the Metaflow system for managing data pipelines.    He explains how to think about data and how to plan out how to gather, manage, and transform your data using a system like Metaflow.    Panel    <ul><li>Ben Wilson</li><li>Charles Max Wood</li><li>Francois Bertrand</li></ul>    Guest    <ul><li>Ville Tuulos</li></ul>    Sponsors    <ul><li><a href="http://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a></li></ul>    Links    <ul><li><a href="https://metaflow.org/" target="_blank" rel="noreferrer noopener">Metaflow</a></li><li><a href="https://www.linkedin.com/in/villetuulos/" target="_blank" rel="noreferrer noopener">LinkedIn: Ville Tuulos</a></li><li><a href="https://twitter.com/vtuulos" target="_blank" rel="noreferrer noopener">Twitter: Ville Tuulos ( @vtuulos )</a></li></ul>    Picks    <ul><li>Ben- <a href="https://docs.databricks.com/applications/machine-learning/feature-store.html" target="_blank" rel="noreferrer noopener">Databricks Feature Store</a></li><li>Charles- <a href="https://amzn.to/3x8JJgB" target="_blank" rel="noreferrer noopener">Atlas Shrugged</a></li><li>Charles- 2 C clamps and a 2x6” board for clamping monitor arms</li><li>Charles- <a href="https://devchat.tv/adventures-in-devops/devops-in-bioinformatics-with-jillian-rowe-devops-074/" target="_blank" rel="noreferrer noopener">DevOps in BioInformatics with Jillian Rowe – DevOps 074 | Devchat.tv</a></li><li>Francois- <a href="https://www.lucidchart.com/pages/" target="_blank" rel="noreferrer noopener">Lucidchart</a></li><li>Ville- <a href="https://www.weatherapi.com/" target="_blank" rel="noreferrer noopener">Weather API</a></li></ul>    Contact Ben:    <ul><li><a href="https://databricks.com/" target="_blank" rel="noreferrer noopener">Databricks</a></li><li><a href="https://github.com/BenWilson2/ML-Engineering" target="_blank" rel="noreferrer noopener">GitHub | BenWilson2/ML-Engineering</a></li><li><a href="https://github.com/databrickslabs/automl-toolkit" target="_blank" rel="noreferrer noopener">GitHub | databrickslabs/automl-toolkit</a></li><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn: Benjamin Wilson</a></li></ul>    Contact Charles:    <ul><li><a href="https://devchat.tv/" target="_blank" rel="noreferrer noopener">Devchat.tv</a></li><li><a href="https://www.facebook.com/DevChattv/" target="_blank" rel="noreferrer noopener">DevChat.tv | Facebook</a></li><li><a href="https://twitter.com/devchattv" target="_blank" rel="noreferrer noopener">Twitter: DevChat.tv ( @devchattv )</a></li></ul>    Contact Francois:    <ul><li><a href="https://www.fbdesignpro.com/" target="_blank" rel="noreferrer noopener">Francois Bertrand</a></li><li><a href="https://github.com/fbdesignpro/sweetviz" target="_blank" rel="noreferrer noopener">GitHub | fbdesignpro/sweetviz</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">4fa2c069-4459-47e2-ae15-556a3834e27f</guid><pubDate>Thu, 08 Jul 2021 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842189/stream.mp3" length="69820131" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Ville Tuulos is a former Netflix data scientist and engineer who now helps people manage their data pipelines. He's the author of Effective Data Science Infrastructure from Manning publishing and the creator of the Metaflow system for managing data...</itunes:subtitle><itunes:summary><![CDATA[Ville Tuulos is a former Netflix data scientist and engineer who now helps people manage their data pipelines. He's the author of Effective Data Science Infrastructure from Manning publishing and the creator of the Metaflow system for managing data pipelines.    He explains how to think about data and how to plan out how to gather, manage, and transform your data using a system like Metaflow.    Panel    <ul><li>Ben Wilson</li><li>Charles Max Wood</li><li>Francois Bertrand</li></ul>    Guest    <ul><li>Ville Tuulos</li></ul>    Sponsors    <ul><li><a href="http://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a></li></ul>    Links    <ul><li><a href="https://metaflow.org/" target="_blank" rel="noreferrer noopener">Metaflow</a></li><li><a href="https://www.linkedin.com/in/villetuulos/" target="_blank" rel="noreferrer noopener">LinkedIn: Ville Tuulos</a></li><li><a href="https://twitter.com/vtuulos" target="_blank" rel="noreferrer noopener">Twitter: Ville Tuulos ( @vtuulos )</a></li></ul>    Picks    <ul><li>Ben- <a href="https://docs.databricks.com/applications/machine-learning/feature-store.html" target="_blank" rel="noreferrer noopener">Databricks Feature Store</a></li><li>Charles- <a href="https://amzn.to/3x8JJgB" target="_blank" rel="noreferrer noopener">Atlas Shrugged</a></li><li>Charles- 2 C clamps and a 2x6” board for clamping monitor arms</li><li>Charles- <a href="https://devchat.tv/adventures-in-devops/devops-in-bioinformatics-with-jillian-rowe-devops-074/" target="_blank" rel="noreferrer noopener">DevOps in BioInformatics with Jillian Rowe – DevOps 074 | Devchat.tv</a></li><li>Francois- <a href="https://www.lucidchart.com/pages/" target="_blank" rel="noreferrer noopener">Lucidchart</a></li><li>Ville- <a href="https://www.weatherapi.com/" target="_blank" rel="noreferrer noopener">Weather API</a></li></ul>    Contact Ben:    <ul><li><a href="https://databricks.com/" target="_blank" rel="noreferrer noopener">Databricks</a></li><li><a href="https://github.com/BenWilson2/ML-Engineering" target="_blank" rel="noreferrer noopener">GitHub | BenWilson2/ML-Engineering</a></li><li><a href="https://github.com/databrickslabs/automl-toolkit" target="_blank" rel="noreferrer noopener">GitHub | databrickslabs/automl-toolkit</a></li><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn: Benjamin Wilson</a></li></ul>    Contact Charles:    <ul><li><a href="https://devchat.tv/" target="_blank" rel="noreferrer noopener">Devchat.tv</a></li><li><a href="https://www.facebook.com/DevChattv/" target="_blank" rel="noreferrer noopener">DevChat.tv | Facebook</a></li><li><a href="https://twitter.com/devchattv" target="_blank" rel="noreferrer noopener">Twitter: DevChat.tv ( @devchattv )</a></li></ul>    Contact Francois:    <ul><li><a href="https://www.fbdesignpro.com/" target="_blank" rel="noreferrer noopener">Francois Bertrand</a></li><li><a href="https://github.com/fbdesignpro/sweetviz" target="_blank" rel="noreferrer noopener">GitHub | fbdesignpro/sweetviz</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3302</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Machine Learning: More than Just an Algorithm - ML 035</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/machine-learning-more-than-just-an-algorithm-ml-035</link><description><![CDATA[The conversation starts out asking what’s coming down the pipeline for the Machine Learning community. Ben explains why it’s hard to predict and leads the conversation into what the challenges really are in Machine Learning and the movements across the field to make it more clear on how to get value from your ML setup.    Panel    <ul><li>Ben Wilson</li><li>Charles Max Wood</li><li>Francois Bertrand</li></ul>    Sponsors    <ul><li><a href="http://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a></li></ul>    Picks    <ul><li>Ben- <a href="https://optuna.org/" target="_blank" rel="noreferrer noopener">Optuna</a></li><li>Ben- <a href="https://github.com/optuna/optuna" target="_blank" rel="noreferrer noopener">GitHub | optuna/optuna</a></li><li>Charles- <a href="https://try.digitalocean.com/app-platform/?utm_campaign=global_app-platform_podcast_en&amp;utm_content=conversion&amp;utm_medium=sponsorship&amp;utm_source=javascript-jabber" target="_blank" rel="noreferrer noopener">DigitalOcean</a></li><li>Charles- <a href="https://amzn.to/2SBB0EB" target="_blank" rel="noreferrer noopener">Napoleon Hill's Outwitting the Devil</a></li><li>Charles- <a href="https://devchat.tv/show/dev-influencers/" target="_blank" rel="noreferrer noopener">Dev Influencers | Devchat.tv</a></li><li>Francois- <a href="https://discord.com" target="_blank" rel="noreferrer noopener">Discord</a></li></ul>    Contact Ben:    <ul><li><a href="https://databricks.com/" target="_blank" rel="noreferrer noopener">Databricks</a></li><li><a href="https://github.com/BenWilson2/ML-Engineering" target="_blank" rel="noreferrer noopener">GitHub | BenWilson2/ML-Engineering</a></li><li><a href="https://github.com/databrickslabs/automl-toolkit" target="_blank" rel="noreferrer noopener">GitHub | databrickslabs/automl-toolkit</a></li><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn: Benjamin Wilson</a></li></ul>    Contact Charles:    <ul><li><a href="https://devchat.tv/" target="_blank" rel="noreferrer noopener">Devchat.tv</a></li><li><a href="https://www.facebook.com/DevChattv/" target="_blank" rel="noreferrer noopener">DevChat.tv | Facebook</a></li><li><a href="https://twitter.com/devchattv" target="_blank" rel="noreferrer noopener">Twitter: DevChat.tv ( @devchattv )</a></li></ul>    Contact Francois:    <ul><li><a href="https://www.fbdesignpro.com/" target="_blank" rel="noreferrer noopener">Francois Bertrand</a></li><li><a href="https://github.com/fbdesignpro/sweetviz" target="_blank" rel="noreferrer noopener">GitHub | fbdesignpro/sweetviz</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">5f2a515a-9b01-4715-8cc7-7e06bdb93628</guid><pubDate>Thu, 01 Jul 2021 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842122/stream.mp3" length="66890225" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>The conversation starts out asking what’s coming down the pipeline for the Machine Learning community. Ben explains why it’s hard to predict and leads the conversation into what the challenges really are in Machine Learning and the movements across...</itunes:subtitle><itunes:summary><![CDATA[The conversation starts out asking what’s coming down the pipeline for the Machine Learning community. Ben explains why it’s hard to predict and leads the conversation into what the challenges really are in Machine Learning and the movements across the field to make it more clear on how to get value from your ML setup.    Panel    <ul><li>Ben Wilson</li><li>Charles Max Wood</li><li>Francois Bertrand</li></ul>    Sponsors    <ul><li><a href="http://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a></li></ul>    Picks    <ul><li>Ben- <a href="https://optuna.org/" target="_blank" rel="noreferrer noopener">Optuna</a></li><li>Ben- <a href="https://github.com/optuna/optuna" target="_blank" rel="noreferrer noopener">GitHub | optuna/optuna</a></li><li>Charles- <a href="https://try.digitalocean.com/app-platform/?utm_campaign=global_app-platform_podcast_en&amp;utm_content=conversion&amp;utm_medium=sponsorship&amp;utm_source=javascript-jabber" target="_blank" rel="noreferrer noopener">DigitalOcean</a></li><li>Charles- <a href="https://amzn.to/2SBB0EB" target="_blank" rel="noreferrer noopener">Napoleon Hill's Outwitting the Devil</a></li><li>Charles- <a href="https://devchat.tv/show/dev-influencers/" target="_blank" rel="noreferrer noopener">Dev Influencers | Devchat.tv</a></li><li>Francois- <a href="https://discord.com" target="_blank" rel="noreferrer noopener">Discord</a></li></ul>    Contact Ben:    <ul><li><a href="https://databricks.com/" target="_blank" rel="noreferrer noopener">Databricks</a></li><li><a href="https://github.com/BenWilson2/ML-Engineering" target="_blank" rel="noreferrer noopener">GitHub | BenWilson2/ML-Engineering</a></li><li><a href="https://github.com/databrickslabs/automl-toolkit" target="_blank" rel="noreferrer noopener">GitHub | databrickslabs/automl-toolkit</a></li><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn: Benjamin Wilson</a></li></ul>    Contact Charles:    <ul><li><a href="https://devchat.tv/" target="_blank" rel="noreferrer noopener">Devchat.tv</a></li><li><a href="https://www.facebook.com/DevChattv/" target="_blank" rel="noreferrer noopener">DevChat.tv | Facebook</a></li><li><a href="https://twitter.com/devchattv" target="_blank" rel="noreferrer noopener">Twitter: DevChat.tv ( @devchattv )</a></li></ul>    Contact Francois:    <ul><li><a href="https://www.fbdesignpro.com/" target="_blank" rel="noreferrer noopener">Francois Bertrand</a></li><li><a href="https://github.com/fbdesignpro/sweetviz" target="_blank" rel="noreferrer noopener">GitHub | fbdesignpro/sweetviz</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3155</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>How to Get Started in Machine Learning - ML 034</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/how-to-get-started-in-machine-learning-ml-034</link><description><![CDATA[In this episode, Ben, Francois and Chuck talk about the skills and knowledge that will help you get started with machine learning. Ben outlines 3 different things that will get you started faster than anything else. Francois and Chuck add a couple more things and they discuss the best ways to implement each one of these skills or tactics to become a top notch Machine Learning Engineer.    Panel    <ul><li>Ben Wilson</li><li>Charles Wood</li><li>Francois Bertrand</li></ul>    Sponsors    <ul><li><a href="http://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influencers Accelarator</a></li></ul>    Picks    <ul><li>Ben- <a href="https://evidentlyai.com/" target="_blank" rel="noreferrer noopener">Evidently AI</a></li><li>Charles- <a href="https://amzn.to/3gOvnw7" target="_blank" rel="noreferrer noopener">Psycho-Cybernetics</a></li><li>Charles- <a href="https://2000books.com/focusblocks/?affiliate=devchat" target="_blank" rel="noreferrer noopener">Focus Blocks</a></li><li>Francois- <a href="https://clockify.me/" target="_blank" rel="noreferrer noopener">Clockify</a></li></ul>    Contact Ben:    <ul><li><a href="https://databricks.com/" target="_blank" rel="noreferrer noopener">Databricks</a></li><li><a href="https://github.com/BenWilson2/ML-Engineering" target="_blank" rel="noreferrer noopener">GitHub | BenWilson2/ML-Engineering</a></li><li><a href="https://github.com/databrickslabs/automl-toolkit" target="_blank" rel="noreferrer noopener">GitHub | databrickslabs/automl-toolkit</a></li><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn: Benjamin Wilson</a></li></ul>    Contact Charles:    <ul><li><a href="https://devchat.tv/" target="_blank" rel="noreferrer noopener">Devchat.tv</a></li><li><a href="https://www.facebook.com/DevChattv/" target="_blank" rel="noreferrer noopener">DevChat.tv | Facebook</a></li><li><a href="https://twitter.com/devchattv" target="_blank" rel="noreferrer noopener">Twitter: DevChat.tv ( @devchattv )</a></li></ul>    Contact Francois:    <ul><li><a href="https://www.fbdesignpro.com/" target="_blank" rel="noreferrer noopener">Francois Bertrand</a></li><li><a href="https://github.com/fbdesignpro/sweetviz" target="_blank" rel="noreferrer noopener">GitHub | fbdesignpro/sweetviz</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">452c81b6-46f3-4c3a-9033-6ca371b0b801</guid><pubDate>Thu, 24 Jun 2021 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842175/stream.mp3" length="65433624" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>In this episode, Ben, Francois and Chuck talk about the skills and knowledge that will help you get started with machine learning. Ben outlines 3 different things that will get you started faster than anything else. Francois and Chuck add a couple...</itunes:subtitle><itunes:summary><![CDATA[In this episode, Ben, Francois and Chuck talk about the skills and knowledge that will help you get started with machine learning. Ben outlines 3 different things that will get you started faster than anything else. Francois and Chuck add a couple more things and they discuss the best ways to implement each one of these skills or tactics to become a top notch Machine Learning Engineer.    Panel    <ul><li>Ben Wilson</li><li>Charles Wood</li><li>Francois Bertrand</li></ul>    Sponsors    <ul><li><a href="http://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influencers Accelarator</a></li></ul>    Picks    <ul><li>Ben- <a href="https://evidentlyai.com/" target="_blank" rel="noreferrer noopener">Evidently AI</a></li><li>Charles- <a href="https://amzn.to/3gOvnw7" target="_blank" rel="noreferrer noopener">Psycho-Cybernetics</a></li><li>Charles- <a href="https://2000books.com/focusblocks/?affiliate=devchat" target="_blank" rel="noreferrer noopener">Focus Blocks</a></li><li>Francois- <a href="https://clockify.me/" target="_blank" rel="noreferrer noopener">Clockify</a></li></ul>    Contact Ben:    <ul><li><a href="https://databricks.com/" target="_blank" rel="noreferrer noopener">Databricks</a></li><li><a href="https://github.com/BenWilson2/ML-Engineering" target="_blank" rel="noreferrer noopener">GitHub | BenWilson2/ML-Engineering</a></li><li><a href="https://github.com/databrickslabs/automl-toolkit" target="_blank" rel="noreferrer noopener">GitHub | databrickslabs/automl-toolkit</a></li><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn: Benjamin Wilson</a></li></ul>    Contact Charles:    <ul><li><a href="https://devchat.tv/" target="_blank" rel="noreferrer noopener">Devchat.tv</a></li><li><a href="https://www.facebook.com/DevChattv/" target="_blank" rel="noreferrer noopener">DevChat.tv | Facebook</a></li><li><a href="https://twitter.com/devchattv" target="_blank" rel="noreferrer noopener">Twitter: DevChat.tv ( @devchattv )</a></li></ul>    Contact Francois:    <ul><li><a href="https://www.fbdesignpro.com/" target="_blank" rel="noreferrer noopener">Francois Bertrand</a></li><li><a href="https://github.com/fbdesignpro/sweetviz" target="_blank" rel="noreferrer noopener">GitHub | fbdesignpro/sweetviz</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3082</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Scaling video processing with Deep Learning - ML 033</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/scaling-video-processing-with-deep-learning-ml-033</link><description><![CDATA[In this episode we talk with Serhii Maksymenko about how to scale video processing with DL frameworks. From buffered asynchronous processing to how to get started with projects of this complexity, Serhii discusses his project work and unique take on how to build these systems without breaking the bank.    Panel    <ul><li>Ben Wilson</li><li>Charles Max Wood</li><li>Francois Bertrand</li></ul>    Guest    <ul><li>Serhii Maksymenko </li></ul>    Sponsors    <ul><li><a href="http://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a></li></ul>    Links    <ul><li><a href="https://www.kdnuggets.com/2021/02/deep-learning-based-real-time-video-processing.html" target="_blank" rel="noreferrer noopener">Deep Learning-based Real-time Video Processing</a></li><li><a href="https://www.linkedin.com/in/sergey-maximenko/" target="_blank" rel="noreferrer noopener">LinkedIn: Serhii Maksymenko</a></li></ul>    Picks    <ul><li>Ben- <a href="https://mlops.community/" target="_blank" rel="noreferrer noopener">MLOps Community</a></li><li>Ben- <a href="https://amzn.to/3iGS9ra" target="_blank" rel="noreferrer noopener">Hands-on Scala Programming</a></li><li>Ben- <a href="https://amzn.to/35ndGx1" target="_blank" rel="noreferrer noopener">Sixteen Different Flavours of Hell </a></li><li>Charles- <a href="https://amzn.to/3pJ9BNa" target="_blank" rel="noreferrer noopener">Who Now How</a></li><li>Charles- Masters Swim Team</li><li>Charles-  <a href="https://amzn.to/2SiWeal" target="_blank" rel="noreferrer noopener">As a Man Thinketh</a></li><li>Charles- <a href="https://amzn.to/358VZRS" target="_blank" rel="noreferrer noopener">Psycho-Cybernetics</a></li><li>Francois- <a href="https://www.featuretools.com/" target="_blank" rel="noreferrer noopener">Featuretools</a></li><li>Francois- <a href="https://www.comet.ml/site/" target="_blank" rel="noreferrer noopener">Comet</a></li><li>Serhii- <a href="https://amzn.to/3vocxA9" target="_blank" rel="noreferrer noopener">Atomic Habits</a></li></ul>    Contact Ben:    <ul><li><a href="https://databricks.com/" target="_blank" rel="noreferrer noopener">Databricks</a></li><li><a href="https://github.com/BenWilson2/ML-Engineering" target="_blank" rel="noreferrer noopener">GitHub | BenWilson2/ML-Engineering</a></li><li><a href="https://github.com/databrickslabs/automl-toolkit" target="_blank" rel="noreferrer noopener">GitHub | databrickslabs/automl-toolkit</a></li><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn: Benjamin Wilson</a></li></ul>    Contact Charles:    <ul><li><a href="https://devchat.tv/" target="_blank" rel="noreferrer noopener">Devchat.tv</a></li><li><a href="https://www.facebook.com/DevChattv/" target="_blank" rel="noreferrer noopener">DevChat.tv | Facebook</a></li><li><a href="https://twitter.com/devchattv" target="_blank" rel="noreferrer noopener">Twitter: DevChat.tv ( @devchattv )</a></li></ul>    Contact Francois:    <ul><li><a href="https://www.fbdesignpro.com/" target="_blank" rel="noreferrer noopener">Francois Bertrand</a></li><li><a href="https://github.com/fbdesignpro/sweetviz" target="_blank" rel="noreferrer noopener">GitHub | fbdesignpro/sweetviz</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">984303dd-86f1-4e8e-a065-5bd46596c801</guid><pubDate>Thu, 17 Jun 2021 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842182/stream.mp3" length="68440327" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>In this episode we talk with Serhii Maksymenko about how to scale video processing with DL frameworks. From buffered asynchronous processing to how to get started with projects of this complexity, Serhii discusses his project work and unique take on...</itunes:subtitle><itunes:summary><![CDATA[In this episode we talk with Serhii Maksymenko about how to scale video processing with DL frameworks. From buffered asynchronous processing to how to get started with projects of this complexity, Serhii discusses his project work and unique take on how to build these systems without breaking the bank.    Panel    <ul><li>Ben Wilson</li><li>Charles Max Wood</li><li>Francois Bertrand</li></ul>    Guest    <ul><li>Serhii Maksymenko </li></ul>    Sponsors    <ul><li><a href="http://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a></li></ul>    Links    <ul><li><a href="https://www.kdnuggets.com/2021/02/deep-learning-based-real-time-video-processing.html" target="_blank" rel="noreferrer noopener">Deep Learning-based Real-time Video Processing</a></li><li><a href="https://www.linkedin.com/in/sergey-maximenko/" target="_blank" rel="noreferrer noopener">LinkedIn: Serhii Maksymenko</a></li></ul>    Picks    <ul><li>Ben- <a href="https://mlops.community/" target="_blank" rel="noreferrer noopener">MLOps Community</a></li><li>Ben- <a href="https://amzn.to/3iGS9ra" target="_blank" rel="noreferrer noopener">Hands-on Scala Programming</a></li><li>Ben- <a href="https://amzn.to/35ndGx1" target="_blank" rel="noreferrer noopener">Sixteen Different Flavours of Hell </a></li><li>Charles- <a href="https://amzn.to/3pJ9BNa" target="_blank" rel="noreferrer noopener">Who Now How</a></li><li>Charles- Masters Swim Team</li><li>Charles-  <a href="https://amzn.to/2SiWeal" target="_blank" rel="noreferrer noopener">As a Man Thinketh</a></li><li>Charles- <a href="https://amzn.to/358VZRS" target="_blank" rel="noreferrer noopener">Psycho-Cybernetics</a></li><li>Francois- <a href="https://www.featuretools.com/" target="_blank" rel="noreferrer noopener">Featuretools</a></li><li>Francois- <a href="https://www.comet.ml/site/" target="_blank" rel="noreferrer noopener">Comet</a></li><li>Serhii- <a href="https://amzn.to/3vocxA9" target="_blank" rel="noreferrer noopener">Atomic Habits</a></li></ul>    Contact Ben:    <ul><li><a href="https://databricks.com/" target="_blank" rel="noreferrer noopener">Databricks</a></li><li><a href="https://github.com/BenWilson2/ML-Engineering" target="_blank" rel="noreferrer noopener">GitHub | BenWilson2/ML-Engineering</a></li><li><a href="https://github.com/databrickslabs/automl-toolkit" target="_blank" rel="noreferrer noopener">GitHub | databrickslabs/automl-toolkit</a></li><li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" target="_blank" rel="noreferrer noopener">LinkedIn: Benjamin Wilson</a></li></ul>    Contact Charles:    <ul><li><a href="https://devchat.tv/" target="_blank" rel="noreferrer noopener">Devchat.tv</a></li><li><a href="https://www.facebook.com/DevChattv/" target="_blank" rel="noreferrer noopener">DevChat.tv | Facebook</a></li><li><a href="https://twitter.com/devchattv" target="_blank" rel="noreferrer noopener">Twitter: DevChat.tv ( @devchattv )</a></li></ul>    Contact Francois:    <ul><li><a href="https://www.fbdesignpro.com/" target="_blank" rel="noreferrer noopener">Francois Bertrand</a></li><li><a href="https://github.com/fbdesignpro/sweetviz" target="_blank" rel="noreferrer noopener">GitHub | fbdesignpro/sweetviz</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3233</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>The 3 Essentials for Successful Job Outcomes - BONUS</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/the-3-essentials-for-successful-job-outcomes-bonus-58bbbf88-3db3-4423-9122-8dfbb75c570f</link><description><![CDATA[Chuck dives into the 3 essentials for getting the next successful outcome you want in your career. Whether that's something simple like a raise or something more complex like going freelance, you can achieve it by working on 3 main areas.    First, building skills. The most obvious type of skills you'll need is technical skills. However, don't neglect your people skills and your organizational skills as well since you're often paid for how you work with people and enhance their work and how you put your work together in the most efficient ways.    Second, building relationships. Often other people will be able to help you find the opportunities or will be the ones to make the decisions that impact your ability to get the outcome you want. Having good relationships is key to having good outcomes.    Third, building recognition. Being known for being valuable in important ways allows you to leverage the skills you have to build better relationships and create opportunities to get what you need to get the outcomes you want by giving people what they want. A podcast is a great way to do all three. Chuck explains exactly how that works in this podcast and goes deeper as part of the <a href="https://devinfluencers.com/apply" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a>.    Panel    <ul><li>Charles Max Wood</li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">986a3288-0ac3-4419-840f-483d0d71edcd</guid><pubDate>Fri, 04 Jun 2021 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842172/stream.mp3" length="46286266" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Chuck dives into the 3 essentials for getting the next successful outcome you want in your career. Whether that's something simple like a raise or something more complex like going freelance, you can achieve it by working on 3 main areas.    First,...</itunes:subtitle><itunes:summary><![CDATA[Chuck dives into the 3 essentials for getting the next successful outcome you want in your career. Whether that's something simple like a raise or something more complex like going freelance, you can achieve it by working on 3 main areas.    First, building skills. The most obvious type of skills you'll need is technical skills. However, don't neglect your people skills and your organizational skills as well since you're often paid for how you work with people and enhance their work and how you put your work together in the most efficient ways.    Second, building relationships. Often other people will be able to help you find the opportunities or will be the ones to make the decisions that impact your ability to get the outcome you want. Having good relationships is key to having good outcomes.    Third, building recognition. Being known for being valuable in important ways allows you to leverage the skills you have to build better relationships and create opportunities to get what you need to get the outcomes you want by giving people what they want. A podcast is a great way to do all three. Chuck explains exactly how that works in this podcast and goes deeper as part of the <a href="https://devinfluencers.com/apply" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a>.    Panel    <ul><li>Charles Max Wood</li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2125</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>The 3 Essentials for Successful Job Outcomes - BONUS</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/the-3-essentials-for-successful-job-outcomes-bonus-58bbbf88-3db3-4423-9122-8dfbb75c570f</link><description><![CDATA[Chuck dives into the 3 essentials for getting the next successful outcome you want in your career. Whether that's something simple like a raise or something more complex like going freelance, you can achieve it by working on 3 main areas.    First, building skills. The most obvious type of skills you'll need is technical skills. However, don't neglect your people skills and your organizational skills as well since you're often paid for how you work with people and enhance their work and how you put your work together in the most efficient ways.    Second, building relationships. Often other people will be able to help you find the opportunities or will be the ones to make the decisions that impact your ability to get the outcome you want. Having good relationships is key to having good outcomes.    Third, building recognition. Being known for being valuable in important ways allows you to leverage the skills you have to build better relationships and create opportunities to get what you need to get the outcomes you want by giving people what they want. A podcast is a great way to do all three. Chuck explains exactly how that works in this podcast and goes deeper as part of the <a href="https://devinfluencers.com/apply" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a>.    Panel    <ul><li>Charles Max Wood</li></ul>    Sponsors    <ul><li><a href="http://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">9bea2b11-b216-4ccb-bbc2-3d86d0f88829</guid><pubDate>Thu, 03 Jun 2021 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842173/stream.mp3" length="49040228" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Chuck dives into the 3 essentials for getting the next successful outcome you want in your career. Whether that's something simple like a raise or something more complex like going freelance, you can achieve it by working on 3 main areas.    First,...</itunes:subtitle><itunes:summary><![CDATA[Chuck dives into the 3 essentials for getting the next successful outcome you want in your career. Whether that's something simple like a raise or something more complex like going freelance, you can achieve it by working on 3 main areas.    First, building skills. The most obvious type of skills you'll need is technical skills. However, don't neglect your people skills and your organizational skills as well since you're often paid for how you work with people and enhance their work and how you put your work together in the most efficient ways.    Second, building relationships. Often other people will be able to help you find the opportunities or will be the ones to make the decisions that impact your ability to get the outcome you want. Having good relationships is key to having good outcomes.    Third, building recognition. Being known for being valuable in important ways allows you to leverage the skills you have to build better relationships and create opportunities to get what you need to get the outcomes you want by giving people what they want. A podcast is a great way to do all three. Chuck explains exactly how that works in this podcast and goes deeper as part of the <a href="https://devinfluencers.com/apply" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a>.    Panel    <ul><li>Charles Max Wood</li></ul>    Sponsors    <ul><li><a href="http://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2263</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>How to Get Hired at a FANG Company - BONUS</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/how-to-get-hired-at-a-fang-company-bonus-7fa46cc7-fb98-431f-87a0-821001672b36</link><description><![CDATA[Chuck explains what he taught Nathan last week when we asked how to get hired at a FANG (Facebook Apple/Amazon Netflix Google) company. Essentially, it boils down to how to build the skills and knowledge needed to pass the interview. How to build the relationships to get into the door and have the interviewer want you to succeed. And how to build the reputation that has the company wanting you regardless of the outcome.<br /> This approach also works for speaking at conferences, selling courses, and other outcomes as well as it's the core of building a successful career as an influencer.    Panel    <ul><li>Charles Max Wood</li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">387ea43d-a03f-41dd-ba37-5fe219f0523c</guid><pubDate>Fri, 28 May 2021 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842124/stream.mp3" length="30698054" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Chuck explains what he taught Nathan last week when we asked how to get hired at a FANG (Facebook Apple/Amazon Netflix Google) company. Essentially, it boils down to how to build the skills and knowledge needed to pass the interview. How to build the...</itunes:subtitle><itunes:summary><![CDATA[Chuck explains what he taught Nathan last week when we asked how to get hired at a FANG (Facebook Apple/Amazon Netflix Google) company. Essentially, it boils down to how to build the skills and knowledge needed to pass the interview. How to build the relationships to get into the door and have the interviewer want you to succeed. And how to build the reputation that has the company wanting you regardless of the outcome.<br /> This approach also works for speaking at conferences, selling courses, and other outcomes as well as it's the core of building a successful career as an influencer.    Panel    <ul><li>Charles Max Wood</li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>1346</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Parallelizing Model Training with Michael Galarnyk - ML 032</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/parallelizing-model-training-with-michael-galarnyk-ml-032</link><description><![CDATA[Michael Galarnyk is a Developer Relations at AnyScale and has nearly 10,000 follows on Medium. He joins the adventure to walk Chuck through how he's parallelized the training of his Machine Learning models on multi-core machines. He also walks Chuck through the ins and outs of being in Developer Relations.    Panel    <ul><li>Charles Max Wood</li></ul>    Guest    <ul><li>Michael Galarnyk</li></ul>    Sponsors    <ul><li><a href="http://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a></li></ul>    Links    <ul><li><a href="https://www.kdnuggets.com/2021/03/speed-up-scikit-learn-model-training.html" target="_blank" rel="noreferrer noopener">Speeding up Scikit-Learn Model Training</a></li><li><a href="https://towardsdatascience.com/how-to-build-a-data-science-portfolio-5f566517c79c" target="_blank" rel="noreferrer noopener">How to Build a Data Science Portfolio</a></li><li><a href="https://medium.com/@GalarnykMichael" target="_blank" rel="noreferrer noopener">Michael Galarnyk - Medium</a></li><li><a href="https://twitter.com/GalarnykMichael" target="_blank" rel="noreferrer noopener">Twitter: Michael Galarnyk ( @GalarnykMichael )</a></li><li><a href="https://www.linkedin.com/in/michaelgalarnyk/" target="_blank" rel="noreferrer noopener">LinkedIn: Michael Galarnyk</a></li></ul>    Picks    <ul><li>Charles- <a href="https://amzn.to/3f5T1Dl" target="_blank" rel="noreferrer noopener">Words of Radiance: Stormlight Archive</a></li><li>Charles- Buying cars on local classifieds</li><li>Michael- <a href="https://towardsdatascience.com/the-cost-of-financing-a-new-car-car-loans-c00997f1aee" target="_blank" rel="noreferrer noopener">The Cost of Financing a Car (Car Loans)</a></li><li>Michael- <a href="https://www.instagram.com/p/B7q2On8FosG/" target="_blank" rel="noreferrer noopener">Success is an Iceberg (we all fail sometimes)</a></li><li>Michael- <a href="https://olanthorensen.com/books/" target="_blank" rel="noreferrer noopener">Destiny's Crucible | Olan Thorensen</a></li></ul>    Contact Charles:    <ul><li><a href="https://devchat.tv/" target="_blank" rel="noreferrer noopener">Devchat.tv</a></li><li><a href="https://www.facebook.com/DevChattv/" target="_blank" rel="noreferrer noopener">DevChat.tv | Facebook</a></li><li><a href="https://twitter.com/devchattv" target="_blank" rel="noreferrer noopener">Twitter: DevChat.tv ( @devchattv )</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">510440c5-4052-4db9-8b4f-deb82d2a13f0</guid><pubDate>Thu, 27 May 2021 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842153/stream.mp3" length="46835509" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Michael Galarnyk is a Developer Relations at AnyScale and has nearly 10,000 follows on Medium. He joins the adventure to walk Chuck through how he's parallelized the training of his Machine Learning models on multi-core machines. He also walks Chuck...</itunes:subtitle><itunes:summary><![CDATA[Michael Galarnyk is a Developer Relations at AnyScale and has nearly 10,000 follows on Medium. He joins the adventure to walk Chuck through how he's parallelized the training of his Machine Learning models on multi-core machines. He also walks Chuck through the ins and outs of being in Developer Relations.    Panel    <ul><li>Charles Max Wood</li></ul>    Guest    <ul><li>Michael Galarnyk</li></ul>    Sponsors    <ul><li><a href="http://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a></li></ul>    Links    <ul><li><a href="https://www.kdnuggets.com/2021/03/speed-up-scikit-learn-model-training.html" target="_blank" rel="noreferrer noopener">Speeding up Scikit-Learn Model Training</a></li><li><a href="https://towardsdatascience.com/how-to-build-a-data-science-portfolio-5f566517c79c" target="_blank" rel="noreferrer noopener">How to Build a Data Science Portfolio</a></li><li><a href="https://medium.com/@GalarnykMichael" target="_blank" rel="noreferrer noopener">Michael Galarnyk - Medium</a></li><li><a href="https://twitter.com/GalarnykMichael" target="_blank" rel="noreferrer noopener">Twitter: Michael Galarnyk ( @GalarnykMichael )</a></li><li><a href="https://www.linkedin.com/in/michaelgalarnyk/" target="_blank" rel="noreferrer noopener">LinkedIn: Michael Galarnyk</a></li></ul>    Picks    <ul><li>Charles- <a href="https://amzn.to/3f5T1Dl" target="_blank" rel="noreferrer noopener">Words of Radiance: Stormlight Archive</a></li><li>Charles- Buying cars on local classifieds</li><li>Michael- <a href="https://towardsdatascience.com/the-cost-of-financing-a-new-car-car-loans-c00997f1aee" target="_blank" rel="noreferrer noopener">The Cost of Financing a Car (Car Loans)</a></li><li>Michael- <a href="https://www.instagram.com/p/B7q2On8FosG/" target="_blank" rel="noreferrer noopener">Success is an Iceberg (we all fail sometimes)</a></li><li>Michael- <a href="https://olanthorensen.com/books/" target="_blank" rel="noreferrer noopener">Destiny's Crucible | Olan Thorensen</a></li></ul>    Contact Charles:    <ul><li><a href="https://devchat.tv/" target="_blank" rel="noreferrer noopener">Devchat.tv</a></li><li><a href="https://www.facebook.com/DevChattv/" target="_blank" rel="noreferrer noopener">DevChat.tv | Facebook</a></li><li><a href="https://twitter.com/devchattv" target="_blank" rel="noreferrer noopener">Twitter: DevChat.tv ( @devchattv )</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2152</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>The Best Machine Learning Frameworks and Tensorflow Extensions with Derrick Mwiti - ML 031</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/the-best-machine-learning-frameworks-and-tensorflow-extensions-with-derrick-mwiti-ml-031</link><description><![CDATA[Derrick Mwiti joins the adventure to discuss the various tools you can use to jumpstart your Machine Learning adventure. He walks through several frameworks for Machine Learning and points out several Tensorflow extensions that will make your Machine Learning models better and your understanding of what is going on easier.    He and Chuck walk through each one and highlight when and why you'd want to use them.    Panel    <ul><li>Charles Max Wood</li></ul>    Guest    <ul><li>Derrick Mwiti</li></ul>    Sponsors    <ul><li><a href="http://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a></li></ul>    Links    <ul><li><a href="https://www.kdnuggets.com/2021/04/best-machine-learning-frameworks-extensions-tensorflow.html" target="_blank" rel="noreferrer noopener">The Best Machine Learning Frameworks &amp; Extensions for TensorFlow</a></li><li><a href="https://leanpub.com/u/mwitiderrick" target="_blank" rel="noreferrer noopener">Derrick Mwiti</a></li><li><a href="https://www.udemy.com/user/mwitiderrick/" target="_blank" rel="noreferrer noopener">Derrick Mwiti | Data Scientist | Author | Mentor | Udemy</a></li><li><a href="https://twitter.com/_mwitiderrick" target="_blank" rel="noreferrer noopener">Twitter: Derrick Mwiti ( @_mwitiderrick )</a></li><li><a href="https://www.linkedin.com/in/mwitiderrick/" target="_blank" rel="noreferrer noopener">LinkedIn: Derrick Mwiti</a></li></ul>    Picks    <ul><li>Charles- <a href="https://amzn.to/33Na2M5" target="_blank" rel="noreferrer noopener">Who Not How</a></li><li>Charles- <a href="https://amzn.to/3fapozK" target="_blank" rel="noreferrer noopener">Fanatical Prospecting</a></li><li>Charles- <a href="https://www.amazon.com/Hunting-Hitler/dp/B07SJWSB3J" target="_blank" rel="noreferrer noopener">Hunting Hitler</a></li><li>Derrick- <a href="https://amzn.to/3f2m6zB" target="_blank" rel="noreferrer noopener">Purple Cow: Transform Your Business by Being Remarkable </a></li><li>Derrick- <a href="https://amzn.to/3ftp6nS" target="_blank" rel="noreferrer noopener">This Is Marketing: You Can't Be Seen Until You Learn to See </a></li></ul>    Contact Charles:    <ul><li><a href="https://devchat.tv/" target="_blank" rel="noreferrer noopener">Devchat.tv</a></li><li><a href="https://www.facebook.com/DevChattv/" target="_blank" rel="noreferrer noopener">DevChat.tv | Facebook</a></li><li><a href="https://twitter.com/devchattv" target="_blank" rel="noreferrer noopener">Twitter: DevChat.tv ( @devchattv )</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">b8d6ca41-65a8-4c1f-8c12-484286f3b3c2</guid><pubDate>Thu, 20 May 2021 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842147/stream.mp3" length="48900289" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Derrick Mwiti joins the adventure to discuss the various tools you can use to jumpstart your Machine Learning adventure. He walks through several frameworks for Machine Learning and points out several Tensorflow extensions that will make your Machine...</itunes:subtitle><itunes:summary><![CDATA[Derrick Mwiti joins the adventure to discuss the various tools you can use to jumpstart your Machine Learning adventure. He walks through several frameworks for Machine Learning and points out several Tensorflow extensions that will make your Machine Learning models better and your understanding of what is going on easier.    He and Chuck walk through each one and highlight when and why you'd want to use them.    Panel    <ul><li>Charles Max Wood</li></ul>    Guest    <ul><li>Derrick Mwiti</li></ul>    Sponsors    <ul><li><a href="http://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a></li></ul>    Links    <ul><li><a href="https://www.kdnuggets.com/2021/04/best-machine-learning-frameworks-extensions-tensorflow.html" target="_blank" rel="noreferrer noopener">The Best Machine Learning Frameworks &amp; Extensions for TensorFlow</a></li><li><a href="https://leanpub.com/u/mwitiderrick" target="_blank" rel="noreferrer noopener">Derrick Mwiti</a></li><li><a href="https://www.udemy.com/user/mwitiderrick/" target="_blank" rel="noreferrer noopener">Derrick Mwiti | Data Scientist | Author | Mentor | Udemy</a></li><li><a href="https://twitter.com/_mwitiderrick" target="_blank" rel="noreferrer noopener">Twitter: Derrick Mwiti ( @_mwitiderrick )</a></li><li><a href="https://www.linkedin.com/in/mwitiderrick/" target="_blank" rel="noreferrer noopener">LinkedIn: Derrick Mwiti</a></li></ul>    Picks    <ul><li>Charles- <a href="https://amzn.to/33Na2M5" target="_blank" rel="noreferrer noopener">Who Not How</a></li><li>Charles- <a href="https://amzn.to/3fapozK" target="_blank" rel="noreferrer noopener">Fanatical Prospecting</a></li><li>Charles- <a href="https://www.amazon.com/Hunting-Hitler/dp/B07SJWSB3J" target="_blank" rel="noreferrer noopener">Hunting Hitler</a></li><li>Derrick- <a href="https://amzn.to/3f2m6zB" target="_blank" rel="noreferrer noopener">Purple Cow: Transform Your Business by Being Remarkable </a></li><li>Derrick- <a href="https://amzn.to/3ftp6nS" target="_blank" rel="noreferrer noopener">This Is Marketing: You Can't Be Seen Until You Learn to See </a></li></ul>    Contact Charles:    <ul><li><a href="https://devchat.tv/" target="_blank" rel="noreferrer noopener">Devchat.tv</a></li><li><a href="https://www.facebook.com/DevChattv/" target="_blank" rel="noreferrer noopener">DevChat.tv | Facebook</a></li><li><a href="https://twitter.com/devchattv" target="_blank" rel="noreferrer noopener">Twitter: DevChat.tv ( @devchattv )</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2256</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Automated Machine Learning with Qingquan Song - ML 030</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/automated-machine-learning-with-qingquan-song-ml-030</link><description><![CDATA[Qingquan Song is a member of the AutoKeras team and recent Phd graduate from Texas A&amp;M University. He co-authored the Automated Machine Learning book from Manning publishing and joins the adventure to explain automated machine learning and how it can be used to set up and to refine machine learning models. He also dives into how to use the tools that exist to take advantage of the techniques it offers.    Panel    <ul><li>Charles Max Wood</li></ul>    Guest    <ul><li>Qingquan Song</li></ul>    Sponsors    <ul><li><a href="http://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a></li></ul>    Links    <ul><li><a href="https://www.manning.com/books/automated-machine-learning-in-action" target="_blank" rel="noreferrer noopener">Automated Machine Learning in Action</a></li><li><a href="https://haifengjin.com/" target="_blank" rel="noreferrer noopener">Haifeng Jin's Blog</a></li><li><a href="https://people.engr.tamu.edu/xiahu/index.html" target="_blank" rel="noreferrer noopener">Xia Ben Hu, Texas A&amp;M University</a></li><li><a href="https://autokeras.com/" target="_blank" rel="noreferrer noopener">AutoKeras</a></li><li><a href="https://qingquansong.github.io/" target="_blank" rel="noreferrer noopener">About me - Qingquan Song</a></li><li><a href="https://www.linkedin.com/in/qingquan-song-b71167119/" target="_blank" rel="noreferrer noopener">LinkedIn: Qingquan Song</a></li></ul>    Picks    <ul><li>Charles-<a href="https://amzn.to/3w5fR3A" target="_blank" rel="noreferrer noopener"> Who Not How</a></li><li>Charles- <a href="https://devchat.tv/show/ruby-rogues/" target="_blank" rel="noreferrer noopener">Ruby Rogues | Devchat.tv</a></li><li>Charles- Encourage people to have empathy</li><li>Qingquan- Working as a team is better than working individually</li><li>Qingquan- Focus on one thing at a time</li><li>Qingquan- "Work hard and Play Harder"</li><li>Qingquan- Learn from others</li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">23e34dab-7444-45f2-a23c-744cf48f2d42</guid><pubDate>Thu, 13 May 2021 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842171/stream.mp3" length="61492805" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Qingquan Song is a member of the AutoKeras team and recent Phd graduate from Texas A&amp;amp;M University. He co-authored the Automated Machine Learning book from Manning publishing and joins the adventure to explain automated machine learning and how it...</itunes:subtitle><itunes:summary><![CDATA[Qingquan Song is a member of the AutoKeras team and recent Phd graduate from Texas A&amp;M University. He co-authored the Automated Machine Learning book from Manning publishing and joins the adventure to explain automated machine learning and how it can be used to set up and to refine machine learning models. He also dives into how to use the tools that exist to take advantage of the techniques it offers.    Panel    <ul><li>Charles Max Wood</li></ul>    Guest    <ul><li>Qingquan Song</li></ul>    Sponsors    <ul><li><a href="http://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a></li></ul>    Links    <ul><li><a href="https://www.manning.com/books/automated-machine-learning-in-action" target="_blank" rel="noreferrer noopener">Automated Machine Learning in Action</a></li><li><a href="https://haifengjin.com/" target="_blank" rel="noreferrer noopener">Haifeng Jin's Blog</a></li><li><a href="https://people.engr.tamu.edu/xiahu/index.html" target="_blank" rel="noreferrer noopener">Xia Ben Hu, Texas A&amp;M University</a></li><li><a href="https://autokeras.com/" target="_blank" rel="noreferrer noopener">AutoKeras</a></li><li><a href="https://qingquansong.github.io/" target="_blank" rel="noreferrer noopener">About me - Qingquan Song</a></li><li><a href="https://www.linkedin.com/in/qingquan-song-b71167119/" target="_blank" rel="noreferrer noopener">LinkedIn: Qingquan Song</a></li></ul>    Picks    <ul><li>Charles-<a href="https://amzn.to/3w5fR3A" target="_blank" rel="noreferrer noopener"> Who Not How</a></li><li>Charles- <a href="https://devchat.tv/show/ruby-rogues/" target="_blank" rel="noreferrer noopener">Ruby Rogues | Devchat.tv</a></li><li>Charles- Encourage people to have empathy</li><li>Qingquan- Working as a team is better than working individually</li><li>Qingquan- Focus on one thing at a time</li><li>Qingquan- "Work hard and Play Harder"</li><li>Qingquan- Learn from others</li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2885</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Becoming the Go-To Person in Your Technology Area - BONUS</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/becoming-the-go-to-person-in-your-technology-area-bonus-341b0dd5-6c2d-4478-b8b9-b6c279a66daa</link><description><![CDATA[Chuck was on a strategic call with one of his potential coaching clients talking about cryptocurrencies and realized that this is one of the major reasons that people want to become influencers. Or, rather, that many people aspire to make a difference and/or make money and the best way to do that is to become the person people go to for what you do.    So, how do you become the first person people think of when they think of that thing you know how to do? Let Chuck tell you.    Panel    <ul><li>Charles Max Wood</li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">816c30cd-6a53-458b-92de-3a3833bfdc31</guid><pubDate>Fri, 07 May 2021 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842097/stream.mp3" length="23655487" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Chuck was on a strategic call with one of his potential coaching clients talking about cryptocurrencies and realized that this is one of the major reasons that people want to become influencers. Or, rather, that many people aspire to make a difference...</itunes:subtitle><itunes:summary><![CDATA[Chuck was on a strategic call with one of his potential coaching clients talking about cryptocurrencies and realized that this is one of the major reasons that people want to become influencers. Or, rather, that many people aspire to make a difference and/or make money and the best way to do that is to become the person people go to for what you do.    So, how do you become the first person people think of when they think of that thing you know how to do? Let Chuck tell you.    Panel    <ul><li>Charles Max Wood</li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>993</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Machine Learning for the Mars Rover with Annie Didier - ML 029</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/machine-learning-for-the-mars-rover-with-annie-didier-ml-029</link><description><![CDATA[Annie Didier from NASA’s Jet Propulsion Lab talks to us about the Machine Learning algorithms and process that goes into how the next Mars rover will choose how it moves across the surface of Mars. She explains each algorithm and how they go together to make the decisions that the Rover makes.    Panel    <ul><li>Charles Max Wood</li></ul>    Guest    <ul><li>Annie Didier</li></ul>    Sponsors    <ul><li><a href="http://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a></li></ul>    Links    <ul><li><a href="https://www.youtube.com/watch?index=4&amp;list=PLXFkLebY3z7LdhEUh154RctY7Yvg04LzI&amp;v=mbUENWq0Aj0" target="_blank" rel="noreferrer noopener">MAARS - Machine Learning-based Analytics for Automated Rover Systems (Final Presentation)</a></li><li><a href="https://www.sciencedirect.com/science/article/pii/S0032063319301242" target="_blank" rel="noreferrer noopener">SCOTI: Science Captioning of Terrain Images for data prioritization and local image search</a></li><li><a href="https://ieeexplore.ieee.org/document/9172271" target="_blank" rel="noreferrer noopener">MAARS: Machine learning-based Analytics for Automated Rover Systems</a></li><li><a href="https://www.hou.usra.edu/meetings/isairas2020/pdf/4078.pdf" target="_blank" rel="noreferrer noopener">SULU: Scalable and Distributed Machine Learning Framework with Unified Encoder for Mars Rover Missions</a></li><li><a href="https://www.zooniverse.org/projects/hiro-ono/ai4mars" target="_blank" rel="noreferrer noopener">AI4Mars - Zooniverse</a></li><li><a href="https://www.linkedin.com/in/annie-didier-98126851/" target="_blank" rel="noreferrer noopener">LinkedIn: Annie Didier</a></li></ul>    Picks    <ul><li>Annie- <a href="https://amzn.to/3xJrsan" target="_blank" rel="noreferrer noopener">When Breath Becomes Air </a></li><li>Charles- <a href="https://amzn.to/2QV9Fwd" target="_blank" rel="noreferrer noopener">The Martian</a> </li><li>Charles- <a href="https://backmarket.com" target="_blank" rel="noreferrer noopener">Back Market</a></li><li>Charles- <a href="http://monday.com" target="_blank" rel="noreferrer noopener">monday.com</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">93b07c1d-438d-4414-ab52-7e4fa601eb63</guid><pubDate>Thu, 06 May 2021 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842216/stream.mp3" length="66175009" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Annie Didier from NASA’s Jet Propulsion Lab talks to us about the Machine Learning algorithms and process that goes into how the next Mars rover will choose how it moves across the surface of Mars. She explains each algorithm and how they go together...</itunes:subtitle><itunes:summary><![CDATA[Annie Didier from NASA’s Jet Propulsion Lab talks to us about the Machine Learning algorithms and process that goes into how the next Mars rover will choose how it moves across the surface of Mars. She explains each algorithm and how they go together to make the decisions that the Rover makes.    Panel    <ul><li>Charles Max Wood</li></ul>    Guest    <ul><li>Annie Didier</li></ul>    Sponsors    <ul><li><a href="http://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a></li></ul>    Links    <ul><li><a href="https://www.youtube.com/watch?index=4&amp;list=PLXFkLebY3z7LdhEUh154RctY7Yvg04LzI&amp;v=mbUENWq0Aj0" target="_blank" rel="noreferrer noopener">MAARS - Machine Learning-based Analytics for Automated Rover Systems (Final Presentation)</a></li><li><a href="https://www.sciencedirect.com/science/article/pii/S0032063319301242" target="_blank" rel="noreferrer noopener">SCOTI: Science Captioning of Terrain Images for data prioritization and local image search</a></li><li><a href="https://ieeexplore.ieee.org/document/9172271" target="_blank" rel="noreferrer noopener">MAARS: Machine learning-based Analytics for Automated Rover Systems</a></li><li><a href="https://www.hou.usra.edu/meetings/isairas2020/pdf/4078.pdf" target="_blank" rel="noreferrer noopener">SULU: Scalable and Distributed Machine Learning Framework with Unified Encoder for Mars Rover Missions</a></li><li><a href="https://www.zooniverse.org/projects/hiro-ono/ai4mars" target="_blank" rel="noreferrer noopener">AI4Mars - Zooniverse</a></li><li><a href="https://www.linkedin.com/in/annie-didier-98126851/" target="_blank" rel="noreferrer noopener">LinkedIn: Annie Didier</a></li></ul>    Picks    <ul><li>Annie- <a href="https://amzn.to/3xJrsan" target="_blank" rel="noreferrer noopener">When Breath Becomes Air </a></li><li>Charles- <a href="https://amzn.to/2QV9Fwd" target="_blank" rel="noreferrer noopener">The Martian</a> </li><li>Charles- <a href="https://backmarket.com" target="_blank" rel="noreferrer noopener">Back Market</a></li><li>Charles- <a href="http://monday.com" target="_blank" rel="noreferrer noopener">monday.com</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3119</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Tensorflow.js with Gant Laborde - ML 028</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/tensorflow-js-with-gant-laborde-ml-028</link><description><![CDATA[Gant's back!!! He's releasing a book with Manning Publishing about Tensorflow.js and he's here to discuss all the details with us. He explains the difference between Teonsorflow and Tensorflow.js and goes into some of the pros and cons of using it. He also explains the concepts he goes over for new ML engineers and for ML engineers learning JavaScript.    Panel    <ul><li>Charles Max Wood</li></ul>    Guest    <ul><li>Gant Laborde</li></ul>    Sponsors    <ul><li><a href="http://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a></li></ul>    Links    <ul><li><a href="https://www.oreilly.com/library/view/learning-tensorflowjs/9781492090786/" target="_blank" rel="noreferrer noopener">Learning TensorFlow.js by Gant Laborde</a></li><li><a href="https://amzn.to/3tZqQLE" target="_blank" rel="noreferrer noopener">Learning TensorFlow.js: Powerful Machine Learning in JavaScript  by Gant Laborde</a></li><li><a href="https://twitter.com/GantLaborde" target="_blank" rel="noreferrer noopener">Twitter: Gant Laborde ( @GantLaborde )</a></li><li><a href="https://gantlaborde.com/" target="_blank" rel="noreferrer noopener">gantlaborde.com</a></li></ul>    Picks    <ul><li>Charles- <a href="http://monday.com" target="_blank" rel="noreferrer noopener">monday.com</a></li><li>Charles-<a href="https://amzn.to/3sVoBHV" target="_blank" rel="noreferrer noopener"> The Sales Development Playbook Trish Bertuzzi</a></li><li>Gant- <a href="https://amzn.to/32Oo3J6" target="_blank" rel="noreferrer noopener">Antifragile by Nassim Nicholas Taleb </a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">1bcd26da-d109-428b-9e8f-7b98c66b7d8a</guid><pubDate>Thu, 29 Apr 2021 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842219/stream.mp3" length="64730393" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Gant's back!!! He's releasing a book with Manning Publishing about Tensorflow.js and he's here to discuss all the details with us. He explains the difference between Teonsorflow and Tensorflow.js and goes into some of the pros and cons of using it. He...</itunes:subtitle><itunes:summary><![CDATA[Gant's back!!! He's releasing a book with Manning Publishing about Tensorflow.js and he's here to discuss all the details with us. He explains the difference between Teonsorflow and Tensorflow.js and goes into some of the pros and cons of using it. He also explains the concepts he goes over for new ML engineers and for ML engineers learning JavaScript.    Panel    <ul><li>Charles Max Wood</li></ul>    Guest    <ul><li>Gant Laborde</li></ul>    Sponsors    <ul><li><a href="http://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a></li></ul>    Links    <ul><li><a href="https://www.oreilly.com/library/view/learning-tensorflowjs/9781492090786/" target="_blank" rel="noreferrer noopener">Learning TensorFlow.js by Gant Laborde</a></li><li><a href="https://amzn.to/3tZqQLE" target="_blank" rel="noreferrer noopener">Learning TensorFlow.js: Powerful Machine Learning in JavaScript  by Gant Laborde</a></li><li><a href="https://twitter.com/GantLaborde" target="_blank" rel="noreferrer noopener">Twitter: Gant Laborde ( @GantLaborde )</a></li><li><a href="https://gantlaborde.com/" target="_blank" rel="noreferrer noopener">gantlaborde.com</a></li></ul>    Picks    <ul><li>Charles- <a href="http://monday.com" target="_blank" rel="noreferrer noopener">monday.com</a></li><li>Charles-<a href="https://amzn.to/3sVoBHV" target="_blank" rel="noreferrer noopener"> The Sales Development Playbook Trish Bertuzzi</a></li><li>Gant- <a href="https://amzn.to/32Oo3J6" target="_blank" rel="noreferrer noopener">Antifragile by Nassim Nicholas Taleb </a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3047</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Don't Let These Things Keep You From Podcasting - BONUS</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/don-t-let-these-things-keep-you-from-podcasting-bonus-4a3122d8-9492-447a-8ab8-bf8d8fc0ccc3</link><description><![CDATA[Charles talks about the things that get developers stuck when they're trying to start their podcast or other influencer channel. He explains how to get around having those things hamper your journey.    Panel    <ul><li>Charles Max Wood</li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">341fabaf-9d4e-4485-a415-1fc521fe0271</guid><pubDate>Thu, 29 Apr 2021 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842102/stream.mp3" length="22150815" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Charles talks about the things that get developers stuck when they're trying to start their podcast or other influencer channel. He explains how to get around having those things hamper your journey.    Panel    
- Charles Max Wood


Advertising...</itunes:subtitle><itunes:summary><![CDATA[Charles talks about the things that get developers stuck when they're trying to start their podcast or other influencer channel. He explains how to get around having those things hamper your journey.    Panel    <ul><li>Charles Max Wood</li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>918</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>BONUS: Relationships Matter Most</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/bonus-relationships-matter-most-51a5de2b-2f28-44b8-9edf-e98c394ae296</link><description><![CDATA[Charles Max Wood talks about how to build, grow, and benefit from positive relationships within programming. He talks about how he's built genuine positive relationships with hundreds of programmers and how he and others have grown from those relationships. He also explains that you get out of relationships what you put into them. Finally, he goes into how to begin to build relationships by building a system of influence you can use on behalf of the people you want relationships with.    Panel    <ul><li>Charles Max Wood</li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">796d6e9b-1540-4736-92f1-9d2054231bc9</guid><pubDate>Fri, 23 Apr 2021 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842141/stream.mp3" length="27495826" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Charles Max Wood talks about how to build, grow, and benefit from positive relationships within programming. He talks about how he's built genuine positive relationships with hundreds of programmers and how he and others have grown from those...</itunes:subtitle><itunes:summary><![CDATA[Charles Max Wood talks about how to build, grow, and benefit from positive relationships within programming. He talks about how he's built genuine positive relationships with hundreds of programmers and how he and others have grown from those relationships. He also explains that you get out of relationships what you put into them. Finally, he goes into how to begin to build relationships by building a system of influence you can use on behalf of the people you want relationships with.    Panel    <ul><li>Charles Max Wood</li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>1185</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>ML 027: Staying Current in Machine Learning</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/ml-027-staying-current-in-machine-learning</link><description><![CDATA[Miguel and Chuck discuss how to stay current in the rapidly changing world of Machine Learning and Artificial Intelligence. They go over how to pick books, newsletters, podcasts, and other resources to up your Machine Learning knowledge and skills.    Panel    <ul><li>Charles Max Wood</li><li>Miguel Morales</li></ul>    Sponsors    <ul><li><a href="http://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influences Accelerator</a></li></ul>    Picks    <ul><li>Charles- <a href="https://www.netflix.com/search?jbv=80186863&amp;q=umbrella+academy" target="_blank" rel="noreferrer noopener">The Umbrella Academy</a></li><li>Charles- <a href="https://amzn.to/2QgYJJ5" target="_blank" rel="noreferrer noopener">The Sales Development Playbook</a></li><li>Miguel- <a href="http://rail.eecs.berkeley.edu/deeprlcourse/" target="_blank" rel="noreferrer noopener">Deep Reinforcement Learning</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">b676195c-706e-4111-9dc8-3014c09325b8</guid><pubDate>Thu, 22 Apr 2021 08:27:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842170/stream.mp3" length="53944963" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Miguel and Chuck discuss how to stay current in the rapidly changing world of Machine Learning and Artificial Intelligence. They go over how to pick books, newsletters, podcasts, and other resources to up your Machine Learning knowledge and skills....</itunes:subtitle><itunes:summary><![CDATA[Miguel and Chuck discuss how to stay current in the rapidly changing world of Machine Learning and Artificial Intelligence. They go over how to pick books, newsletters, podcasts, and other resources to up your Machine Learning knowledge and skills.    Panel    <ul><li>Charles Max Wood</li><li>Miguel Morales</li></ul>    Sponsors    <ul><li><a href="http://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influences Accelerator</a></li></ul>    Picks    <ul><li>Charles- <a href="https://www.netflix.com/search?jbv=80186863&amp;q=umbrella+academy" target="_blank" rel="noreferrer noopener">The Umbrella Academy</a></li><li>Charles- <a href="https://amzn.to/2QgYJJ5" target="_blank" rel="noreferrer noopener">The Sales Development Playbook</a></li><li>Miguel- <a href="http://rail.eecs.berkeley.edu/deeprlcourse/" target="_blank" rel="noreferrer noopener">Deep Reinforcement Learning</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2508</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>BONUS: How Opportunities Come Your Way When You're an Influencer</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/bonus-how-opportunities-come-your-way-when-you-re-an-influencer-1cd563bf-3d41-47e6-832d-d8d3a90cb213</link><description><![CDATA[Charles Max Wood discusses several opportunities that came his way early in his podcasting career and other opportunities that have come to other people after only a couple of podcast episodes. He explains why that happens and how you can use this to create more influence as a developer.    Panel    <ul><li>Charles Max Wood</li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">cb8efa77-9979-4e6f-a425-e675b3d56504</guid><pubDate>Fri, 16 Apr 2021 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842111/stream.mp3" length="28456151" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Charles Max Wood discusses several opportunities that came his way early in his podcasting career and other opportunities that have come to other people after only a couple of podcast episodes. He explains why that happens and how you can use this to...</itunes:subtitle><itunes:summary><![CDATA[Charles Max Wood discusses several opportunities that came his way early in his podcasting career and other opportunities that have come to other people after only a couple of podcast episodes. He explains why that happens and how you can use this to create more influence as a developer.    Panel    <ul><li>Charles Max Wood</li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>1233</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>BONUS: How Opportunities Come Your Way When You're an Influencer</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/bonus-how-opportunities-come-your-way-when-you-re-an-influencer-1cd563bf-3d41-47e6-832d-d8d3a90cb213</link><description><![CDATA[Charles Max Wood discusses several opportunities that came his way early in his podcasting career and other opportunities that have come to other people after only a couple of podcast episodes. He explains why that happens and how you can use this to create more influence as a developer.    Panel    <ul><li>Charles Max Wood</li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">9a204eac-f2ef-45cb-bb36-330d260d5c5a</guid><pubDate>Thu, 15 Apr 2021 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842117/stream.mp3" length="31042914" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Charles Max Wood discusses several opportunities that came his way early in his podcasting career and other opportunities that have come to other people after only a couple of podcast episodes. He explains why that happens and how you can use this to...</itunes:subtitle><itunes:summary><![CDATA[Charles Max Wood discusses several opportunities that came his way early in his podcasting career and other opportunities that have come to other people after only a couple of podcast episodes. He explains why that happens and how you can use this to create more influence as a developer.    Panel    <ul><li>Charles Max Wood</li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>1363</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>BONUS: What is Charles Max Wood's Biggest Payoff for Being a Dev Influencer?</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/bonus-what-is-charles-max-wood-s-biggest-payoff-for-being-a-dev-influencer-e5288c33-bf1d-4069-81ac-a98a787b3660</link><description><![CDATA[Charles Max Wood started podcasting because it sounded fun and because he wanted to talk about technology. He learned pretty quickly that it got him access to people who understood the things he wanted to learn. The reasons changed over the years, as Charles explains before he talks about the big payoff he gets now from doing the podcasts.    Panel    <ul><li>Charles Max Wood</li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">dc0ec95a-1cee-4528-ba0b-3de3665634e5</guid><pubDate>Fri, 09 Apr 2021 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842129/stream.mp3" length="41525877" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Charles Max Wood started podcasting because it sounded fun and because he wanted to talk about technology. He learned pretty quickly that it got him access to people who understood the things he wanted to learn. The reasons changed over the years, as...</itunes:subtitle><itunes:summary><![CDATA[Charles Max Wood started podcasting because it sounded fun and because he wanted to talk about technology. He learned pretty quickly that it got him access to people who understood the things he wanted to learn. The reasons changed over the years, as Charles explains before he talks about the big payoff he gets now from doing the podcasts.    Panel    <ul><li>Charles Max Wood</li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>1887</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>ML 026: Sweetviz with Francois Bertrand</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/ml-026-sweetviz-with-francois-bertrand</link><description><![CDATA[Francois Bertrand is the author of a tool that builds in powerful data visualization tools for datasets that allow data scientists and machine learning engineers to look at their data and analyze various qualities that they have. This could allow engineers to make qualitative calls regarding the data they use to train their models or evaluate the results they get from models after the fact. Francois explains how he built it and how to use it for these types of uses.    Panel    <ul><li>Charles Max Wood</li><li>Miguel Morales</li></ul>    Guest    <ul><li>Francois Bertrand</li></ul>    Sponsors    <ul><li><a href="http://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a></li></ul>    Links    <ul><li><a href="https://www.fbdesignpro.com/" target="_blank" rel="noreferrer noopener">FRANCOIS BERTRAND | DATA VISUALIZATION DESIGNER</a></li></ul>    Picks    <ul><li>Charles- <a href="https://devchat.tv/show/dev-influencers/" target="_blank" rel="noreferrer noopener">Dev Influencers | Devchat.tv</a></li><li>Charles- <a href="https://teachable.com/" target="_blank" rel="noreferrer noopener">Teachable: Create and sell online course and teaching</a></li><li>Charles- <a href="https://www.voxer.com/" target="_blank" rel="noreferrer noopener">Walkie Talkie App for Team Communication | Voxer</a></li><li>Charles-<a href="https://thrivecart.com/special-offer/" target="_blank" rel="noreferrer noopener"> ThriveCart</a></li><li>Charles- <a href="https://screenflow.com/" target="_blank" rel="noreferrer noopener">ScreenFlow</a></li><li>Francios- <a href="https://www.featuretools.com/" target="_blank" rel="noreferrer noopener">Featuretools | An open source python framework for automated feature engineering</a></li><li>Miguel- <a href="https://www.youtube.com/playlist?list=PLwRJQ4m4UJjPiJP3691u-qWwPGVKzSlNP" target="_blank" rel="noreferrer noopener">Deep Unsupervised Learning -- Berkeley Spring 2020</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">2417d58b-246d-411b-b88d-b2998a391dfe</guid><pubDate>Thu, 08 Apr 2021 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842156/stream.mp3" length="68220350" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Francois Bertrand is the author of a tool that builds in powerful data visualization tools for datasets that allow data scientists and machine learning engineers to look at their data and analyze various qualities that they have. This could allow...</itunes:subtitle><itunes:summary><![CDATA[Francois Bertrand is the author of a tool that builds in powerful data visualization tools for datasets that allow data scientists and machine learning engineers to look at their data and analyze various qualities that they have. This could allow engineers to make qualitative calls regarding the data they use to train their models or evaluate the results they get from models after the fact. Francois explains how he built it and how to use it for these types of uses.    Panel    <ul><li>Charles Max Wood</li><li>Miguel Morales</li></ul>    Guest    <ul><li>Francois Bertrand</li></ul>    Sponsors    <ul><li><a href="http://devchat.tv/influencers" target="_blank" rel="noreferrer noopener">Dev Influencers Accelerator</a></li></ul>    Links    <ul><li><a href="https://www.fbdesignpro.com/" target="_blank" rel="noreferrer noopener">FRANCOIS BERTRAND | DATA VISUALIZATION DESIGNER</a></li></ul>    Picks    <ul><li>Charles- <a href="https://devchat.tv/show/dev-influencers/" target="_blank" rel="noreferrer noopener">Dev Influencers | Devchat.tv</a></li><li>Charles- <a href="https://teachable.com/" target="_blank" rel="noreferrer noopener">Teachable: Create and sell online course and teaching</a></li><li>Charles- <a href="https://www.voxer.com/" target="_blank" rel="noreferrer noopener">Walkie Talkie App for Team Communication | Voxer</a></li><li>Charles-<a href="https://thrivecart.com/special-offer/" target="_blank" rel="noreferrer noopener"> ThriveCart</a></li><li>Charles- <a href="https://screenflow.com/" target="_blank" rel="noreferrer noopener">ScreenFlow</a></li><li>Francios- <a href="https://www.featuretools.com/" target="_blank" rel="noreferrer noopener">Featuretools | An open source python framework for automated feature engineering</a></li><li>Miguel- <a href="https://www.youtube.com/playlist?list=PLwRJQ4m4UJjPiJP3691u-qWwPGVKzSlNP" target="_blank" rel="noreferrer noopener">Deep Unsupervised Learning -- Berkeley Spring 2020</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3222</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>BONUS: How Jason Weimann Became a Game Developer</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/bonus-how-jason-weimann-became-a-game-developer-34cfd35c-2713-4f18-9176-64e8d25b9c81</link><description><![CDATA[Jason Weimann started out as an enthusiast of the Massively Multiplayer Online Role Playing Game, Everquest. After becoming a software developer and building a collaborative community playing the game, learn how he used his connections to get a job working for the company that made the game, even if it wasn't a job working as a game developer and how that led to a career working on one of the most popular online games of the time.    Panel    <ul><li>Charles Max Wood</li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">50bed3d1-f92f-45da-8a89-62b7fb903d0a</guid><pubDate>Fri, 02 Apr 2021 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842202/stream.mp3" length="50665947" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Jason Weimann started out as an enthusiast of the Massively Multiplayer Online Role Playing Game, Everquest. After becoming a software developer and building a collaborative community playing the game, learn how he used his connections to get a job...</itunes:subtitle><itunes:summary><![CDATA[Jason Weimann started out as an enthusiast of the Massively Multiplayer Online Role Playing Game, Everquest. After becoming a software developer and building a collaborative community playing the game, learn how he used his connections to get a job working for the company that made the game, even if it wasn't a job working as a game developer and how that led to a career working on one of the most popular online games of the time.    Panel    <ul><li>Charles Max Wood</li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2344</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>ML 025: Machine Learning and Quantum Computing with Ather Fawaz</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/ml-025-machine-learning-and-quantum-computing-with-ather-fawaz</link><description><![CDATA[Ather Fawaz joins the discussion to walk us through the world of qubits, quantum computers, machine learning algortithms, and what quantum computer means for machine learning. He explains the basics of quantum computer and who the major players are in the space and then explains some of the advancements people are making by scheduling time on their quantum computers.    Panel    <ul><li>Charles Max Wood</li><li>Miguel Morales</li></ul>    Guest    <ul><li>Ather Fawaz</li></ul>    Sponsors    <ul><li><a href="http://devchat.tv/hero" target="_blank" rel="noreferrer noopener">Dev Heroes Accelerator</a></li></ul>    Picks    <ul><li>Ather- <a href="https://qiskit.org/textbook/preface.html" target="_blank" rel="noreferrer noopener">Learn Quantum Computation using Qiskit</a></li><li>Ather- <a href="https://www.netflix.com/search?jbv=80204890&amp;q=F1" target="_blank" rel="noreferrer noopener">Formula 1: Drive to Survive</a></li><li>Charles- <a href="https://www.imdb.com/title/tt4287320/" target="_blank" rel="noreferrer noopener">The Circle (2017)</a></li><li>Miguel- <a href="https://castlelab.princeton.edu/RLSO/" target="_blank" rel="noreferrer noopener">Reinforcement Learning and Stochastic Optimization by Warren B. Powell</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">6f01c0b6-e83d-4c4d-aed0-0eeed34f0ff1</guid><pubDate>Thu, 01 Apr 2021 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842234/stream.mp3" length="68030227" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Ather Fawaz joins the discussion to walk us through the world of qubits, quantum computers, machine learning algortithms, and what quantum computer means for machine learning. He explains the basics of quantum computer and who the major players are in...</itunes:subtitle><itunes:summary><![CDATA[Ather Fawaz joins the discussion to walk us through the world of qubits, quantum computers, machine learning algortithms, and what quantum computer means for machine learning. He explains the basics of quantum computer and who the major players are in the space and then explains some of the advancements people are making by scheduling time on their quantum computers.    Panel    <ul><li>Charles Max Wood</li><li>Miguel Morales</li></ul>    Guest    <ul><li>Ather Fawaz</li></ul>    Sponsors    <ul><li><a href="http://devchat.tv/hero" target="_blank" rel="noreferrer noopener">Dev Heroes Accelerator</a></li></ul>    Picks    <ul><li>Ather- <a href="https://qiskit.org/textbook/preface.html" target="_blank" rel="noreferrer noopener">Learn Quantum Computation using Qiskit</a></li><li>Ather- <a href="https://www.netflix.com/search?jbv=80204890&amp;q=F1" target="_blank" rel="noreferrer noopener">Formula 1: Drive to Survive</a></li><li>Charles- <a href="https://www.imdb.com/title/tt4287320/" target="_blank" rel="noreferrer noopener">The Circle (2017)</a></li><li>Miguel- <a href="https://castlelab.princeton.edu/RLSO/" target="_blank" rel="noreferrer noopener">Reinforcement Learning and Stochastic Optimization by Warren B. Powell</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3212</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>BONUS: Continuing Your Learning Journey by Finding Mentors as an Influencer</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/bonus-continuing-your-learning-journey-by-finding-mentors-as-an-influencer-24f7b37b-f1c2-47e6-a6d2-190293968065</link><description><![CDATA[Chuck outlines how he's used his podcasts to find mentors to continue his learning journey over 12 years of podcasting. Some mentors have been long lived relationships while others have lasted only a few months or even days. This episode shares Chuck's experience learning from the top people in the development community as a programmer and podcaster.    Panel    <ul><li>Charles Max Wood</li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">93a5727e-e3db-48db-9762-7e58bbbfe047</guid><pubDate>Fri, 26 Mar 2021 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842197/stream.mp3" length="40055704" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Chuck outlines how he's used his podcasts to find mentors to continue his learning journey over 12 years of podcasting. Some mentors have been long lived relationships while others have lasted only a few months or even days. This episode shares...</itunes:subtitle><itunes:summary><![CDATA[Chuck outlines how he's used his podcasts to find mentors to continue his learning journey over 12 years of podcasting. Some mentors have been long lived relationships while others have lasted only a few months or even days. This episode shares Chuck's experience learning from the top people in the development community as a programmer and podcaster.    Panel    <ul><li>Charles Max Wood</li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>1813</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>BONUS: Continuing Your Learning Journey by Finding Mentors as an Influencer</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/bonus-continuing-your-learning-journey-by-finding-mentors-as-an-influencer-24f7b37b-f1c2-47e6-a6d2-190293968065</link><description><![CDATA[Chuck outlines how he's used his podcasts to find mentors to continue his learning journey over 12 years of podcasting. Some mentors have been long lived relationships while others have lasted only a few months or even days. This episode shares Chuck's experience learning from the top people in the development community as a programmer and podcaster.    Panel    <ul><li>Charles Max Wood</li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">f2aefb72-3d8b-40d4-b0b5-e22a94fb87f9</guid><pubDate>Fri, 26 Mar 2021 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842174/stream.mp3" length="40055704" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Chuck outlines how he's used his podcasts to find mentors to continue his learning journey over 12 years of podcasting. Some mentors have been long lived relationships while others have lasted only a few months or even days. This episode shares...</itunes:subtitle><itunes:summary><![CDATA[Chuck outlines how he's used his podcasts to find mentors to continue his learning journey over 12 years of podcasting. Some mentors have been long lived relationships while others have lasted only a few months or even days. This episode shares Chuck's experience learning from the top people in the development community as a programmer and podcaster.    Panel    <ul><li>Charles Max Wood</li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>1813</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>ML 024: Machine Learning in Action with Ben Wilson</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/ml-024-machine-learning-in-action-with-ben-wilson</link><description><![CDATA[Ben Wilson is the author of Machine Learning in Action from Manning. He leads us through the process of compiling data, building algorithms, and learning Machine Learning.    Panel    <ul><li>Charles Max Wood</li></ul>    Guest    <ul><li>Ben Wilson</li></ul>    Sponsors    <ul><li><a href="http://devchat.tv/hero" target="_blank" rel="noreferrer noopener">Dev Heroes Accelerator</a></li></ul>    Picks    <ul><li>Ben- <a href="https://datatalks.club/" target="_blank" rel="noreferrer noopener">DataTalks.Club</a></li><li>Charles- <a href="https://devchat.tv/shes-in-tech/" target="_blank" rel="noreferrer noopener">Devchat.tv | She's in Tech</a></li><li>Charles- Looking for sponsors for the show</li><li>Charles- <a href="https://www.voxer.com/" target="_blank" rel="noreferrer noopener">Walkie Talkie App for Team Communication | Voxer</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">16922ada-1c91-48f9-8821-d6e1fc524fb9</guid><pubDate>Tue, 23 Mar 2021 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842230/stream.mp3" length="60645385" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Ben Wilson is the author of Machine Learning in Action from Manning. He leads us through the process of compiling data, building algorithms, and learning Machine Learning.    Panel    
- Charles Max Wood
    Guest    
- Ben Wilson
    Sponsors    
-...</itunes:subtitle><itunes:summary><![CDATA[Ben Wilson is the author of Machine Learning in Action from Manning. He leads us through the process of compiling data, building algorithms, and learning Machine Learning.    Panel    <ul><li>Charles Max Wood</li></ul>    Guest    <ul><li>Ben Wilson</li></ul>    Sponsors    <ul><li><a href="http://devchat.tv/hero" target="_blank" rel="noreferrer noopener">Dev Heroes Accelerator</a></li></ul>    Picks    <ul><li>Ben- <a href="https://datatalks.club/" target="_blank" rel="noreferrer noopener">DataTalks.Club</a></li><li>Charles- <a href="https://devchat.tv/shes-in-tech/" target="_blank" rel="noreferrer noopener">Devchat.tv | She's in Tech</a></li><li>Charles- Looking for sponsors for the show</li><li>Charles- <a href="https://www.voxer.com/" target="_blank" rel="noreferrer noopener">Walkie Talkie App for Team Communication | Voxer</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2843</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>ML 023: Inside Machine Learning with Edward Raff</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/ml-023-inside-machine-learning-with-edward-raff</link><description><![CDATA[We have a new panelist! Plus, Edward Raff joins the Adventure to discuss his new book Inside Machine Learning. He walks us through Convolutional Neural Networks and then talks us through to build, train, and use them to solve problems through Machine Learning.<br /> The conversation ranges into having good data sets, tweaking your network, and when a Convolutional Neural Network is an appropriate tool for the problem you're trying to solve.    Panel    <ul><li>Charles Max Wood</li><li>Miguel Morales</li></ul>    Guest    <ul><li>Edward Raff</li></ul>    Sponsors    <ul><li><a href="http://Devchat.tv/heroes" target="_blank" rel="noreferrer noopener">Dev Heroes Accelerator</a></li></ul>    Picks    <ul><li>Charles- <a href="https://www.docker.com/" target="_blank" rel="noreferrer noopener">Docker</a></li><li>Charles- <a href="https://www.paramountplus.com/intl/" target="_blank" rel="noreferrer noopener">Paramount+</a></li><li>Edward- <a href="https://java.com/en/" target="_blank" rel="noreferrer noopener">Java | Oracle</a></li><li>Edward- <a href="https://wish.org/" target="_blank" rel="noreferrer noopener">Make-A-Wish America</a></li><li>Miguel- <a href="https://fullstackdeeplearning.com/spring2021/" target="_blank" rel="noreferrer noopener">Full Stack Deep Learning - Spring 2021</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">fdb50574-a989-4e8e-a09a-ac3abe41eb70</guid><pubDate>Tue, 16 Mar 2021 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842233/stream.mp3" length="74085381" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>We have a new panelist! Plus, Edward Raff joins the Adventure to discuss his new book Inside Machine Learning. He walks us through Convolutional Neural Networks and then talks us through to build, train, and use them to solve problems through Machine...</itunes:subtitle><itunes:summary><![CDATA[We have a new panelist! Plus, Edward Raff joins the Adventure to discuss his new book Inside Machine Learning. He walks us through Convolutional Neural Networks and then talks us through to build, train, and use them to solve problems through Machine Learning.<br /> The conversation ranges into having good data sets, tweaking your network, and when a Convolutional Neural Network is an appropriate tool for the problem you're trying to solve.    Panel    <ul><li>Charles Max Wood</li><li>Miguel Morales</li></ul>    Guest    <ul><li>Edward Raff</li></ul>    Sponsors    <ul><li><a href="http://Devchat.tv/heroes" target="_blank" rel="noreferrer noopener">Dev Heroes Accelerator</a></li></ul>    Picks    <ul><li>Charles- <a href="https://www.docker.com/" target="_blank" rel="noreferrer noopener">Docker</a></li><li>Charles- <a href="https://www.paramountplus.com/intl/" target="_blank" rel="noreferrer noopener">Paramount+</a></li><li>Edward- <a href="https://java.com/en/" target="_blank" rel="noreferrer noopener">Java | Oracle</a></li><li>Edward- <a href="https://wish.org/" target="_blank" rel="noreferrer noopener">Make-A-Wish America</a></li><li>Miguel- <a href="https://fullstackdeeplearning.com/spring2021/" target="_blank" rel="noreferrer noopener">Full Stack Deep Learning - Spring 2021</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3515</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>BONUS: How Charles Max Wood Started Podcasting -- And You Can Too</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/bonus-how-charles-max-wood-started-podcasting-and-you-can-too</link><description><![CDATA[Charles Max Wood goes into the origin story of his podcasting career and how it relates to his programming career. He starts with his interest from a young age in technology and his dreams of being a radio DJ. He moves quickly through college and into his first job after college where he was introduced to podcasts by a co-worker who had purchased an iPod.    He calls out several mentors like Gregg Pollack, Eric Berry, Nate Hopkins, Cliff Ravenscraft, David Brady, Dave Jackson, and many more.    He then explains what he'd do differently if he were starting today.    Join the Dev Heroes Accelerator at <a href="https://devchat.tv/hero" target="_blank" rel="noreferrer noopener">https://devchat.tv/hero</a>    Panel    <ul><li>Charles Max Wood</li></ul>    Sponsors    <ul><li><a href="https://devchat.tv/hero" target="_blank" rel="noreferrer noopener">Dev Heroes Accelerator</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">c0447e15-cb0b-4f47-8f58-37b9e3b198fa</guid><pubDate>Tue, 09 Mar 2021 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842218/stream.mp3" length="57940157" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Charles Max Wood goes into the origin story of his podcasting career and how it relates to his programming career. He starts with his interest from a young age in technology and his dreams of being a radio DJ. He moves quickly through college and into...</itunes:subtitle><itunes:summary><![CDATA[Charles Max Wood goes into the origin story of his podcasting career and how it relates to his programming career. He starts with his interest from a young age in technology and his dreams of being a radio DJ. He moves quickly through college and into his first job after college where he was introduced to podcasts by a co-worker who had purchased an iPod.    He calls out several mentors like Gregg Pollack, Eric Berry, Nate Hopkins, Cliff Ravenscraft, David Brady, Dave Jackson, and many more.    He then explains what he'd do differently if he were starting today.    Join the Dev Heroes Accelerator at <a href="https://devchat.tv/hero" target="_blank" rel="noreferrer noopener">https://devchat.tv/hero</a>    Panel    <ul><li>Charles Max Wood</li></ul>    Sponsors    <ul><li><a href="https://devchat.tv/hero" target="_blank" rel="noreferrer noopener">Dev Heroes Accelerator</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2708</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>BONUS: How to get Freelance Clients to Come to You</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/bonus-how-to-get-freelance-clients-to-come-to-you</link><description><![CDATA[Charles Max Wood explains how he landed his first 4 freelance clients that took him through a few years of freelancing with only 3 years of experience and a few hundred podcast listeners. Funnily enough, they actually came to him, not the other way around.    He explains how he made himself attractive to them and then turned it into a mutually profitable relationship once he had their attention.    Panel    <ul><li>Charles Max Wood</li></ul>    Sponsors    <ul><li><a href="http://devchat.tv/heroes" target="_blank" rel="noreferrer noopener">Dev Heroes Accelerator</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">b7e8c05b-2254-448a-ac33-2d57b7b694af</guid><pubDate>Tue, 02 Mar 2021 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842226/stream.mp3" length="45675115" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Charles Max Wood explains how he landed his first 4 freelance clients that took him through a few years of freelancing with only 3 years of experience and a few hundred podcast listeners. Funnily enough, they actually came to him, not the other way...</itunes:subtitle><itunes:summary><![CDATA[Charles Max Wood explains how he landed his first 4 freelance clients that took him through a few years of freelancing with only 3 years of experience and a few hundred podcast listeners. Funnily enough, they actually came to him, not the other way around.    He explains how he made himself attractive to them and then turned it into a mutually profitable relationship once he had their attention.    Panel    <ul><li>Charles Max Wood</li></ul>    Sponsors    <ul><li><a href="http://devchat.tv/heroes" target="_blank" rel="noreferrer noopener">Dev Heroes Accelerator</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2094</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>ML 022: Machine Learning with TensorFlow Chris Mattmann</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/ml-022-machine-learning-with-tensorflow-chris-mattmann</link><description><![CDATA[Chris explains how Tensorflow has grown over the last several years and the how it can be used to build and grow Machine Learning Systems. He explains the different algorithms you can use and the different types of problems it can solve.  Chris works at the Jet Propulsion Laboratory for NASA and dives into a few instances where Machine Learning is used at NASA.  Panel  <ul><li>Charles Max Wood</li></ul>  Guest  <ul><li>Chris Mattmann</li></ul>  Sponsors  <ul><li><a href="https://go.oncehub.com/NextLevelDev" target="_blank" rel="noreferrer noopener">Dev Heroes Accelerator</a></li></ul>  Links  <ul><li><a href="https://www.manning.com/books/machine-learning-with-tensorflow-second-edition" target="_blank" rel="noreferrer noopener">Manning | Machine Learning with TensorFlow, Second Edition</a></li><li><a href="https://twitter.com/chrismattmann" target="_blank" rel="noreferrer noopener">Twitter: Chris Mattmann</a></li><li><a href="https://github.com/chrismattmann" target="_blank" rel="noreferrer noopener">GitHub | ChrisMattmann</a></li></ul>  Picks  <ul><li>Charles- <a href="https://www.cbs.com/shows/star-trek-discovery/" target="_blank" rel="noreferrer noopener">Star Trek: Discovery</a></li><li>Charles- <a href="https://www.netflix.com/title/80186863" target="_blank" rel="noreferrer noopener">The Umbrella Academy | Netflix</a></li><li>Charles- <a href="https://devchat.tv/heroes/" target="_blank" rel="noreferrer noopener">Dev Heroes Accelerator | Devchat.tv</a></li><li>Chris- <a href="https://twitter.com/sincerelyladoc" target="_blank" rel="noreferrer noopener">Twitter: Sincerely, Los Angeles</a></li><li>Chris- <a href="https://sincerelyla.com/" target="_blank" rel="noreferrer noopener">Sincerely, Los Angeles</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">aee8df1b-11a5-42a2-8edf-786052eab152</guid><pubDate>Tue, 23 Feb 2021 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842217/stream.mp3" length="58480366" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Chris explains how Tensorflow has grown over the last several years and the how it can be used to build and grow Machine Learning Systems. He explains the different algorithms you can use and the different types of problems it can solve.  Chris works...</itunes:subtitle><itunes:summary><![CDATA[Chris explains how Tensorflow has grown over the last several years and the how it can be used to build and grow Machine Learning Systems. He explains the different algorithms you can use and the different types of problems it can solve.  Chris works at the Jet Propulsion Laboratory for NASA and dives into a few instances where Machine Learning is used at NASA.  Panel  <ul><li>Charles Max Wood</li></ul>  Guest  <ul><li>Chris Mattmann</li></ul>  Sponsors  <ul><li><a href="https://go.oncehub.com/NextLevelDev" target="_blank" rel="noreferrer noopener">Dev Heroes Accelerator</a></li></ul>  Links  <ul><li><a href="https://www.manning.com/books/machine-learning-with-tensorflow-second-edition" target="_blank" rel="noreferrer noopener">Manning | Machine Learning with TensorFlow, Second Edition</a></li><li><a href="https://twitter.com/chrismattmann" target="_blank" rel="noreferrer noopener">Twitter: Chris Mattmann</a></li><li><a href="https://github.com/chrismattmann" target="_blank" rel="noreferrer noopener">GitHub | ChrisMattmann</a></li></ul>  Picks  <ul><li>Charles- <a href="https://www.cbs.com/shows/star-trek-discovery/" target="_blank" rel="noreferrer noopener">Star Trek: Discovery</a></li><li>Charles- <a href="https://www.netflix.com/title/80186863" target="_blank" rel="noreferrer noopener">The Umbrella Academy | Netflix</a></li><li>Charles- <a href="https://devchat.tv/heroes/" target="_blank" rel="noreferrer noopener">Dev Heroes Accelerator | Devchat.tv</a></li><li>Chris- <a href="https://twitter.com/sincerelyladoc" target="_blank" rel="noreferrer noopener">Twitter: Sincerely, Los Angeles</a></li><li>Chris- <a href="https://sincerelyla.com/" target="_blank" rel="noreferrer noopener">Sincerely, Los Angeles</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2735</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>ML 021: Grokking Deep Reinforcement Learning with Miguel Morales</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/ml-021-grokking-deep-reinforcement-learning-with-miguel-morales</link><description><![CDATA[Miguel Morales is a Machine Learning engineer at Lockheed Martin and teaches at Georgia Institute of Technology. This episode starts with a basic explanation of Reinforcement Learning. Miguel then talks through the various methods of implementing and training systems through Reinforcement Learning. We talk algorithms and models and much more…    Panel    <ul><li>Charles Max Wood</li></ul>    Guest    <ul><li>Miguel Morales</li></ul>    Sponsors    <ul><li><a href="https://go.oncehub.com/NextLevelDev" target="_blank" rel="noreferrer noopener">Dev Heroes Accelerator</a></li></ul>    Links    <ul><li><a href="https://github.com/mimoralea/gdrl" target="_blank" rel="noreferrer noopener">GitHub | mimoralea/gdrl</a></li><li><a href="https://www.manning.com/books/grokking-deep-reinforcement-learning" target="_blank" rel="noreferrer noopener">Manning | Grokking Deep Reinforcement Learning</a></li><li><a href="https://twitter.com/mimoralea" target="_blank" rel="noreferrer noopener">Twitter: mimoralea</a></li><li>Email: mimoralea@gmail.com</li></ul>    Picks    <ul><li>Charles- <a href="https://amzn.to/2N4TOcw" target="_blank" rel="noreferrer noopener">The Expanse by James S. A. Corey </a></li><li>Charles- <a href="https://go.oncehub.com/NextLevelDev" target="_blank" rel="noreferrer noopener">Dev Heroes Accelerator</a></li><li>Miguel- <a href="http://rail.eecs.berkeley.edu/deeprlcourse/" target="_blank" rel="noreferrer noopener">Deep Reinforcement Learning</a></li><li>Miguel- <a href="https://www.youtube.com/user/dimitribert/videos" target="_blank" rel="noreferrer noopener">Youtube: Dimitri Bertsekas</a></li><li>Miguel- <a href="https://www.youtube.com/watch?list=PLqYmG7hTraZBiG_XpjnPrSNw-1XQaM_gB&amp;v=2pWv7GOvuf0" target="_blank" rel="noreferrer noopener">RL Course by David Silver - Lecture 1: Introduction to Reinforcement Learning</a></li><li>Miguel- <a href="https://www.imdb.com/title/tt0800369/" target="_blank" rel="noreferrer noopener">Thor ( 2011 )</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">6955a773-7aff-4261-ad55-7f24e5f42b89</guid><pubDate>Tue, 16 Feb 2021 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842242/stream.mp3" length="82217853" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Miguel Morales is a Machine Learning engineer at Lockheed Martin and teaches at Georgia Institute of Technology. This episode starts with a basic explanation of Reinforcement Learning. Miguel then talks through the various methods of implementing and...</itunes:subtitle><itunes:summary><![CDATA[Miguel Morales is a Machine Learning engineer at Lockheed Martin and teaches at Georgia Institute of Technology. This episode starts with a basic explanation of Reinforcement Learning. Miguel then talks through the various methods of implementing and training systems through Reinforcement Learning. We talk algorithms and models and much more…    Panel    <ul><li>Charles Max Wood</li></ul>    Guest    <ul><li>Miguel Morales</li></ul>    Sponsors    <ul><li><a href="https://go.oncehub.com/NextLevelDev" target="_blank" rel="noreferrer noopener">Dev Heroes Accelerator</a></li></ul>    Links    <ul><li><a href="https://github.com/mimoralea/gdrl" target="_blank" rel="noreferrer noopener">GitHub | mimoralea/gdrl</a></li><li><a href="https://www.manning.com/books/grokking-deep-reinforcement-learning" target="_blank" rel="noreferrer noopener">Manning | Grokking Deep Reinforcement Learning</a></li><li><a href="https://twitter.com/mimoralea" target="_blank" rel="noreferrer noopener">Twitter: mimoralea</a></li><li>Email: mimoralea@gmail.com</li></ul>    Picks    <ul><li>Charles- <a href="https://amzn.to/2N4TOcw" target="_blank" rel="noreferrer noopener">The Expanse by James S. A. Corey </a></li><li>Charles- <a href="https://go.oncehub.com/NextLevelDev" target="_blank" rel="noreferrer noopener">Dev Heroes Accelerator</a></li><li>Miguel- <a href="http://rail.eecs.berkeley.edu/deeprlcourse/" target="_blank" rel="noreferrer noopener">Deep Reinforcement Learning</a></li><li>Miguel- <a href="https://www.youtube.com/user/dimitribert/videos" target="_blank" rel="noreferrer noopener">Youtube: Dimitri Bertsekas</a></li><li>Miguel- <a href="https://www.youtube.com/watch?list=PLqYmG7hTraZBiG_XpjnPrSNw-1XQaM_gB&amp;v=2pWv7GOvuf0" target="_blank" rel="noreferrer noopener">RL Course by David Silver - Lecture 1: Introduction to Reinforcement Learning</a></li><li>Miguel- <a href="https://www.imdb.com/title/tt0800369/" target="_blank" rel="noreferrer noopener">Thor ( 2011 )</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3922</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>BONUS: Measuring Apps and Entrepreneurship with John-Daniel Trask</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/bonus-measuring-apps-and-entrepreneurship-with-john-daniel-trask-80861c47-d8de-4e29-876a-229cac81836b</link><description><![CDATA[John-Daniel Trask, founder and CEO of Raygun, talks about his experience building a monitoring company and about how to measure the speed and quality of your code.   <br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">b9b116a9-174c-4d76-afc6-c965d13d2e9e</guid><pubDate>Fri, 05 Feb 2021 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842245/stream.mp3" length="64031271" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>John-Daniel Trask, founder and CEO of Raygun, talks about his experience building a monitoring company and about how to measure the speed and quality of your code.   

Advertising Inquiries: https://redcircle.com/brands

Privacy &amp;amp; Opt-Out:...</itunes:subtitle><itunes:summary><![CDATA[John-Daniel Trask, founder and CEO of Raygun, talks about his experience building a monitoring company and about how to measure the speed and quality of your code.   <br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3012</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>BONUS: Measuring Apps and Entrepreneurship with John-Daniel Trask</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/bonus-measuring-apps-and-entrepreneurship-with-john-daniel-trask-80861c47-d8de-4e29-876a-229cac81836b</link><description><![CDATA[John-Daniel Trask, founder and CEO of Raygun, talks about his experience building a monitoring company and about how to measure the speed and quality of your code.   <br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">f350b820-e350-4db2-b0ea-c8edbe0e5ea9</guid><pubDate>Fri, 05 Feb 2021 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842178/stream.mp3" length="64031271" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>John-Daniel Trask, founder and CEO of Raygun, talks about his experience building a monitoring company and about how to measure the speed and quality of your code.   

Advertising Inquiries: https://redcircle.com/brands

Privacy &amp;amp; Opt-Out:...</itunes:subtitle><itunes:summary><![CDATA[John-Daniel Trask, founder and CEO of Raygun, talks about his experience building a monitoring company and about how to measure the speed and quality of your code.   <br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3012</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>ML 020: How to Make an Impact on the Development Community</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/ml-020-how-to-make-an-impact-on-the-development-community</link><description><![CDATA[Charles Max Wood takes a solo flight into how to make an impact on the development community and build the career you want at the same time. Chuck starts out summarizing his journey over the last year or so and then dives into his vision of how people can grow into becoming an influencer and using that to create opportunities in your life and career.    Please check out <a href="http://devchat.tv/nextlevel" target="_blank" rel="noreferrer noopener">devchat.tv/nextlevel</a>    Panel    <ul><li>Charles Wood</li></ul>    Sponsors    <ul><li><a href="http://devchat.tv/nextlevel" target="_blank" rel="noreferrer noopener">Next Level Mastermind</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">a8bec857-fbc5-4fea-8b23-156e2b8549f9</guid><pubDate>Tue, 02 Feb 2021 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842205/stream.mp3" length="57880078" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Charles Max Wood takes a solo flight into how to make an impact on the development community and build the career you want at the same time. Chuck starts out summarizing his journey over the last year or so and then dives into his vision of how people...</itunes:subtitle><itunes:summary><![CDATA[Charles Max Wood takes a solo flight into how to make an impact on the development community and build the career you want at the same time. Chuck starts out summarizing his journey over the last year or so and then dives into his vision of how people can grow into becoming an influencer and using that to create opportunities in your life and career.    Please check out <a href="http://devchat.tv/nextlevel" target="_blank" rel="noreferrer noopener">devchat.tv/nextlevel</a>    Panel    <ul><li>Charles Wood</li></ul>    Sponsors    <ul><li><a href="http://devchat.tv/nextlevel" target="_blank" rel="noreferrer noopener">Next Level Mastermind</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2705</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>ML 019: Artificial Intelligence as a Service with Peter Elger and Eóin Shanaghy</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/ml-019-artificial-intelligence-as-a-service-with-peter-elger-and-eoin-shanaghy</link><description><![CDATA[Peter Elger and Eóin Shanaghy join Charles Max Wood to dive into what Artificial Intelligence and Machine Learning related services are available for people to use. Peter and Eóin are experts in AWS and explain what is provided in its services, but easily extrapolate to other clouds. If you're trying to implement Artificial Intelligence algorithms, you may want to use or modify an algorithm already built and provided to you.      Panel    <ul><li>Charles Wood</li></ul>    Guest    <ul><li>Eóin Shanaghy</li><li>Peter Elger</li></ul>    Sponsors    <ul><li><a href="http://devchat.tv/nextlevel" target="_blank" rel="noreferrer noopener">Next Level Mastermind</a></li></ul>    Links    <ul><li><a href="https://www.fourtheorem.com/" target="_blank" rel="noreferrer noopener">fourTheorem</a></li><li><a href="https://twitter.com/eoins" target="_blank" rel="noreferrer noopener">Twitter: Eóin Shanaghy</a></li><li><a href="https://twitter.com/pelger" target="_blank" rel="noreferrer noopener">Twitter: Peter Elger</a></li></ul>    Picks    <ul><li>Charles- <a href="https://amzn.to/3qnTx2n" target="_blank" rel="noreferrer noopener">The Eye of the World: Book One of The Wheel of Time by Robert Jordan</a></li><li>Charles<a href="https://podcasts.apple.com/us/podcast/changemakers-with-jamie-atkinson/id1456194303" target="_blank" rel="noreferrer noopener"> - Changemakers With Jamie Atkinson</a></li><li>Charles- <a href="https://podcasts.apple.com/us/podcast/podcast-domination-show/id1387192254" target="_blank" rel="noreferrer noopener">Podcast Domination Show by Luis Diaz</a></li><li>Charles- <a href="https://buzzcast.buzzsprout.com/" target="_blank" rel="noreferrer noopener">Buzzcast</a></li><li>Charles- <a href="https://podcasttalentcoach.com/" target="_blank" rel="noreferrer noopener">Podcast Talent Coach</a></li><li>Eóin-<a href="https://www.ikea.com/us/en/p/idasen-desk-sit-stand-black-dark-gray-s79280998/" target="_blank" rel="noreferrer noopener"> IKEA | IDÅSEN Desk sit/stand, black/dark gray63x31 1/2 "</a></li><li>Eóin- <a href="https://kinesis-ergo.com/shop/freestyle2-for-pc-us/" target="_blank" rel="noreferrer noopener">Kinesis | Freestyle2 Split- Adjustable Keyboard for PC</a></li><li>Peter- <a href="https://www.wolframphysics.org/" target="_blank" rel="noreferrer noopener">The Wolfram Physics Project</a></li><li>Peter- <a href="https://www.pbs.org/show/pbs-space-time/" target="_blank" rel="noreferrer noopener">PBS Space Time</a></li><li>Peter-<a href="https://www.youtube.com/channel/UCYO_jab_esuFRV4b17AJtAw" target="_blank" rel="noreferrer noopener"> Youtube Channel | 3Blue1Brown</a></li><li>Peter- <a href="https://troygrady.com/" target="_blank" rel="noreferrer noopener">Cracking the Code</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">a9257ffa-5595-442f-8e9c-e67b06d1db74</guid><pubDate>Tue, 26 Jan 2021 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842248/stream.mp3" length="72190520" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Peter Elger and Eóin Shanaghy join Charles Max Wood to dive into what Artificial Intelligence and Machine Learning related services are available for people to use. Peter and Eóin are experts in AWS and explain what is provided in its services, but...</itunes:subtitle><itunes:summary><![CDATA[Peter Elger and Eóin Shanaghy join Charles Max Wood to dive into what Artificial Intelligence and Machine Learning related services are available for people to use. Peter and Eóin are experts in AWS and explain what is provided in its services, but easily extrapolate to other clouds. If you're trying to implement Artificial Intelligence algorithms, you may want to use or modify an algorithm already built and provided to you.      Panel    <ul><li>Charles Wood</li></ul>    Guest    <ul><li>Eóin Shanaghy</li><li>Peter Elger</li></ul>    Sponsors    <ul><li><a href="http://devchat.tv/nextlevel" target="_blank" rel="noreferrer noopener">Next Level Mastermind</a></li></ul>    Links    <ul><li><a href="https://www.fourtheorem.com/" target="_blank" rel="noreferrer noopener">fourTheorem</a></li><li><a href="https://twitter.com/eoins" target="_blank" rel="noreferrer noopener">Twitter: Eóin Shanaghy</a></li><li><a href="https://twitter.com/pelger" target="_blank" rel="noreferrer noopener">Twitter: Peter Elger</a></li></ul>    Picks    <ul><li>Charles- <a href="https://amzn.to/3qnTx2n" target="_blank" rel="noreferrer noopener">The Eye of the World: Book One of The Wheel of Time by Robert Jordan</a></li><li>Charles<a href="https://podcasts.apple.com/us/podcast/changemakers-with-jamie-atkinson/id1456194303" target="_blank" rel="noreferrer noopener"> - Changemakers With Jamie Atkinson</a></li><li>Charles- <a href="https://podcasts.apple.com/us/podcast/podcast-domination-show/id1387192254" target="_blank" rel="noreferrer noopener">Podcast Domination Show by Luis Diaz</a></li><li>Charles- <a href="https://buzzcast.buzzsprout.com/" target="_blank" rel="noreferrer noopener">Buzzcast</a></li><li>Charles- <a href="https://podcasttalentcoach.com/" target="_blank" rel="noreferrer noopener">Podcast Talent Coach</a></li><li>Eóin-<a href="https://www.ikea.com/us/en/p/idasen-desk-sit-stand-black-dark-gray-s79280998/" target="_blank" rel="noreferrer noopener"> IKEA | IDÅSEN Desk sit/stand, black/dark gray63x31 1/2 "</a></li><li>Eóin- <a href="https://kinesis-ergo.com/shop/freestyle2-for-pc-us/" target="_blank" rel="noreferrer noopener">Kinesis | Freestyle2 Split- Adjustable Keyboard for PC</a></li><li>Peter- <a href="https://www.wolframphysics.org/" target="_blank" rel="noreferrer noopener">The Wolfram Physics Project</a></li><li>Peter- <a href="https://www.pbs.org/show/pbs-space-time/" target="_blank" rel="noreferrer noopener">PBS Space Time</a></li><li>Peter-<a href="https://www.youtube.com/channel/UCYO_jab_esuFRV4b17AJtAw" target="_blank" rel="noreferrer noopener"> Youtube Channel | 3Blue1Brown</a></li><li>Peter- <a href="https://troygrady.com/" target="_blank" rel="noreferrer noopener">Cracking the Code</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3420</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>ML 018: Mastering Data Pipelines with Apache Spark with Jean-Georges Perrin</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/ml-018-mastering-data-pipelines-with-apache-spark-with-jean-georges-perrin</link><description><![CDATA[Jean-Georges Perrin compares Apache Spark to an operating system for data management. He explains how it can be used to pull data from disparate data sources, process the data, feed it into Machine Learning algorithms and stream the data out to other data streaming services.    Coupon code: podmladventure20    Panel    <ul><li>Charles Wood</li></ul>    Guest    <ul><li>Jean-Georges Perrin</li></ul>    Sponsors    <ul><li><a href="http://devchat.tv/nextlevel" target="_blank" rel="noreferrer noopener">Next Level Mastermind</a></li></ul>    Picks    <ul><li>Charles- Talk to people you don’t agree with and try to understand their point of view.</li><li>Charles- <a href="https://amzn.to/2K0MkWG" target="_blank" rel="noreferrer noopener">Eureka on Amazon Prime</a></li><li>Charles- <a href="https://amzn.to/39cbmL4" target="_blank" rel="noreferrer noopener">The Expanse books and series</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">a6af2845-341b-4ac4-94f1-436b9530f781</guid><pubDate>Tue, 19 Jan 2021 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842192/stream.mp3" length="54380227" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Jean-Georges Perrin compares Apache Spark to an operating system for data management. He explains how it can be used to pull data from disparate data sources, process the data, feed it into Machine Learning algorithms and stream the data out to other...</itunes:subtitle><itunes:summary><![CDATA[Jean-Georges Perrin compares Apache Spark to an operating system for data management. He explains how it can be used to pull data from disparate data sources, process the data, feed it into Machine Learning algorithms and stream the data out to other data streaming services.    Coupon code: podmladventure20    Panel    <ul><li>Charles Wood</li></ul>    Guest    <ul><li>Jean-Georges Perrin</li></ul>    Sponsors    <ul><li><a href="http://devchat.tv/nextlevel" target="_blank" rel="noreferrer noopener">Next Level Mastermind</a></li></ul>    Picks    <ul><li>Charles- Talk to people you don’t agree with and try to understand their point of view.</li><li>Charles- <a href="https://amzn.to/2K0MkWG" target="_blank" rel="noreferrer noopener">Eureka on Amazon Prime</a></li><li>Charles- <a href="https://amzn.to/39cbmL4" target="_blank" rel="noreferrer noopener">The Expanse books and series</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2530</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>ML 017: The Nature of the World and AI with Rishal Hurbans</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/ml-017-the-nature-of-the-world-and-ai-with-rishal-hurbans</link><description><![CDATA[Rishal Hurbans is the author of Grokking Artificial Intelligence Algorithms. He walks us through how to learn different Machine Learning algorithms. He also then walks us through the different types of algorithms based on different natural systems and processes.    Panel    <ul><li>Chuck Wood</li></ul>    Guest    <ul><li>Rishal Hurbans</li></ul>    Links    <ul><li><a href="https://www.kaggle.com/" target="_blank" rel="noreferrer noopener">Kaggle: Your Machine Learning and Data Science Community</a></li><li><a href="https://rhurbans.com/researching-a-different-concept-everyday-for-31-days/" target="_blank" rel="noreferrer noopener">Rishal Hurbans</a></li><li><a href="https://inktober.com/" target="_blank" rel="noreferrer noopener">Inktober</a></li><li><a href="https://devchat.tv/grokai" target="_blank" rel="noreferrer noopener">Book giveaway link</a></li></ul>    Picks    <ul><li>Chuck- <a href="https://amzn.to/3mxO9aP" target="_blank" rel="noreferrer noopener">Hero with a thousand faces by Joseph Campbell</a></li><li>Chuck-<a href="https://amzn.to/34oVeUX" target="_blank" rel="noreferrer noopener"> Masterbuilt smoker</a></li><li>Rishal-Learn something new everyday</li><li>Rishal- <a href="https://amzn.to/2KAC9ba" target="_blank" rel="noreferrer noopener">Building a StoryBrand by Donald Miller</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">b47066a7-d528-41b0-b375-22e849ebd7ac</guid><pubDate>Tue, 12 Jan 2021 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842204/stream.mp3" length="54660225" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Rishal Hurbans is the author of Grokking Artificial Intelligence Algorithms. He walks us through how to learn different Machine Learning algorithms. He also then walks us through the different types of algorithms based on different natural systems and...</itunes:subtitle><itunes:summary><![CDATA[Rishal Hurbans is the author of Grokking Artificial Intelligence Algorithms. He walks us through how to learn different Machine Learning algorithms. He also then walks us through the different types of algorithms based on different natural systems and processes.    Panel    <ul><li>Chuck Wood</li></ul>    Guest    <ul><li>Rishal Hurbans</li></ul>    Links    <ul><li><a href="https://www.kaggle.com/" target="_blank" rel="noreferrer noopener">Kaggle: Your Machine Learning and Data Science Community</a></li><li><a href="https://rhurbans.com/researching-a-different-concept-everyday-for-31-days/" target="_blank" rel="noreferrer noopener">Rishal Hurbans</a></li><li><a href="https://inktober.com/" target="_blank" rel="noreferrer noopener">Inktober</a></li><li><a href="https://devchat.tv/grokai" target="_blank" rel="noreferrer noopener">Book giveaway link</a></li></ul>    Picks    <ul><li>Chuck- <a href="https://amzn.to/3mxO9aP" target="_blank" rel="noreferrer noopener">Hero with a thousand faces by Joseph Campbell</a></li><li>Chuck-<a href="https://amzn.to/34oVeUX" target="_blank" rel="noreferrer noopener"> Masterbuilt smoker</a></li><li>Rishal-Learn something new everyday</li><li>Rishal- <a href="https://amzn.to/2KAC9ba" target="_blank" rel="noreferrer noopener">Building a StoryBrand by Donald Miller</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2544</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>ML 016: Python as a Basis for Machine Learning with Ken Youens-Clark</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/ml-016-python-as-a-basis-for-machine-learning-with-ken-youens-clark</link><description><![CDATA[Ken Youens-Clark regales us with his history through Jazz, Microsoft Tech, and Python and bioinformatics. Regular expressions are a fundamental part of data identification and cleaning. Also, we touch on the importance of types and tests as a specification for yourself and others. Python, as a data-science starting point, should be clean, functional, and friendly. Aspiring data scientists can learn a lot about the importance of fundamentals and clear encodings that fit the desired needs.    Panel    <ul><li>Beril Sirmacek</li><li>Gant Laborde</li></ul>    Guest    <ul><li>Ken Youens-Clark</li></ul>    Links    <ul><li><a href="https://www.manning.com/books/tiny-python-projects" target="_blank" rel="noreferrer noopener">Manning | Tiny Python Projects</a> by Ken Youens-Clark</li><li><a href="http://tinypythonprojects.com/Tiny_Python_Projects.pdf" target="_blank" rel="noreferrer noopener">Tiny Python Project PDF</a> by Ken Youens-Clark</li><li><a href="http://tinypythonprojects.com/" target="_blank" rel="noreferrer noopener">Tiny Python Project</a> by Ken Youens-Clark</li><li><a href="http://rosalind.info/problems/locations/" target="_blank" rel="noreferrer noopener">ROSALIND | Problems | Locations</a></li><li><a href="https://twitter.com/kycl4rk" target="_blank" rel="noreferrer noopener">Twitter: Ken Youens-Clark</a></li></ul>    Picks    <ul><li>Beril- <a href="https://www.youtube.com/drsirmacek" target="_blank" rel="noreferrer noopener">Youtube Channel: Beril Sirmacek</a></li><li>Gant-<a href="https://twitter.com/jason_mayes/status/1326570710169395200" target="_blank" rel="noreferrer noopener"> Twitter: Jason Mayes</a></li><li>Ken- <a href="https://www.netflix.com/title/80234304" target="_blank" rel="noreferrer noopener">Netflix Series: " The Queen's Gambit"</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">c964a4dc-ffd3-41ec-950a-1d0954365b31</guid><pubDate>Tue, 05 Jan 2021 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842227/stream.mp3" length="75460506" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Ken Youens-Clark regales us with his history through Jazz, Microsoft Tech, and Python and bioinformatics. Regular expressions are a fundamental part of data identification and cleaning. Also, we touch on the importance of types and tests as a...</itunes:subtitle><itunes:summary><![CDATA[Ken Youens-Clark regales us with his history through Jazz, Microsoft Tech, and Python and bioinformatics. Regular expressions are a fundamental part of data identification and cleaning. Also, we touch on the importance of types and tests as a specification for yourself and others. Python, as a data-science starting point, should be clean, functional, and friendly. Aspiring data scientists can learn a lot about the importance of fundamentals and clear encodings that fit the desired needs.    Panel    <ul><li>Beril Sirmacek</li><li>Gant Laborde</li></ul>    Guest    <ul><li>Ken Youens-Clark</li></ul>    Links    <ul><li><a href="https://www.manning.com/books/tiny-python-projects" target="_blank" rel="noreferrer noopener">Manning | Tiny Python Projects</a> by Ken Youens-Clark</li><li><a href="http://tinypythonprojects.com/Tiny_Python_Projects.pdf" target="_blank" rel="noreferrer noopener">Tiny Python Project PDF</a> by Ken Youens-Clark</li><li><a href="http://tinypythonprojects.com/" target="_blank" rel="noreferrer noopener">Tiny Python Project</a> by Ken Youens-Clark</li><li><a href="http://rosalind.info/problems/locations/" target="_blank" rel="noreferrer noopener">ROSALIND | Problems | Locations</a></li><li><a href="https://twitter.com/kycl4rk" target="_blank" rel="noreferrer noopener">Twitter: Ken Youens-Clark</a></li></ul>    Picks    <ul><li>Beril- <a href="https://www.youtube.com/drsirmacek" target="_blank" rel="noreferrer noopener">Youtube Channel: Beril Sirmacek</a></li><li>Gant-<a href="https://twitter.com/jason_mayes/status/1326570710169395200" target="_blank" rel="noreferrer noopener"> Twitter: Jason Mayes</a></li><li>Ken- <a href="https://www.netflix.com/title/80234304" target="_blank" rel="noreferrer noopener">Netflix Series: " The Queen's Gambit"</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3584</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>BONUS: How to Crush Your Biggest Goals in 2021</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/bonus-how-to-crush-your-biggest-goals-in-2021</link><description><![CDATA[<a href="https://devchat.tv/goals" target="_blank" rel="noreferrer noopener">Get the 2020 Goal Setting Workshop + Success Accelerator Deal HERE</a><br /> (Coupon Code: GOALS for a massive discount)    Mani Vaya joins Charles Max Wood to walk him through the 6 pillars of success that lead to meeting your goals.    Mani has read thousands of books on success, setting and achieving goals, and personal growth and has distilled these 6 principles from the books and then figured out how to put them into practice.    He and Chuck walk through the principles and strategies that create success and allow you to set goals that will bring you the things you want during the next year or so.    Listen to this episode to learn how to crush your biggest goals in 2021.     <a href="https://devchat.tv/goals" target="_blank" rel="noreferrer noopener">Get the 2020 Goal Setting Workshop + Success Accelerator Deal HERE</a><br /> (Coupon Code: GOALS for a massive discount)   <br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">d514375a-3d88-487b-a9fa-1fdcaf17b707</guid><pubDate>Fri, 01 Jan 2021 17:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842249/stream.mp3" length="84471004" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>https://devchat.tv/goals
 (Coupon Code: GOALS for a massive discount)    Mani Vaya joins Charles Max Wood to walk him through the 6 pillars of success that lead to meeting your goals.    Mani has read thousands of books on success, setting and...</itunes:subtitle><itunes:summary><![CDATA[<a href="https://devchat.tv/goals" target="_blank" rel="noreferrer noopener">Get the 2020 Goal Setting Workshop + Success Accelerator Deal HERE</a><br /> (Coupon Code: GOALS for a massive discount)    Mani Vaya joins Charles Max Wood to walk him through the 6 pillars of success that lead to meeting your goals.    Mani has read thousands of books on success, setting and achieving goals, and personal growth and has distilled these 6 principles from the books and then figured out how to put them into practice.    He and Chuck walk through the principles and strategies that create success and allow you to set goals that will bring you the things you want during the next year or so.    Listen to this episode to learn how to crush your biggest goals in 2021.     <a href="https://devchat.tv/goals" target="_blank" rel="noreferrer noopener">Get the 2020 Goal Setting Workshop + Success Accelerator Deal HERE</a><br /> (Coupon Code: GOALS for a massive discount)   <br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>4034</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>ML 015: Extracting Value from Data with Alexey Grigorev</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/ml-015-extracting-value-from-data-with-alexey-grigorev</link><description><![CDATA[Alexey Grigorev is the lead data scientist for one of the biggest classified ads companies in the world. He walks us through gathering, mining, and understanding data to improve things. One big component of this is Machine Learning. It optimizes business processes and helps data scientists understand the data they have.    Panel    <ul><li>Beril Sirmacek</li><li>Daniel Svoboda</li><li>Gant Laborde</li></ul>    Guest    <ul><li>Alexey Grigorev</li></ul>    Sponsors    <ul><li><a href="http://192.81.209.174/learnML" target="_blank" rel="noreferrer noopener">Machine Learning for Software Engineers by Educative.io</a></li><li><a href="http://www.audibletrack.com/click.track?ADID=454213&amp;AFID=475401&amp;CID=102175&amp;SID=%26%2339%3B%26gt%3B" target="_blank" rel="noreferrer noopener">Audible.com</a></li></ul>    Picks    <ul><li>Alexey- <a href="https://datatalks.club/" target="_blank" rel="noreferrer noopener">DataTalks.Club</a></li><li>Beril- <a href="https://riseof.ai/" target="_blank" rel="noreferrer noopener">Rise of AI | Building an European AI Ecosystem</a></li><li>Daniel - <a href="https://medium.com/dair-ai" target="_blank" rel="noreferrer noopener">dair.ai- Medium </a></li><li>Daniel- <a href="https://quantumstat.medium.com/" target="_blank" rel="noreferrer noopener">Quantum Stat- Medium</a></li><li>Daniel-<a href="https://towardsdatascience.com/" target="_blank" rel="noreferrer noopener"> Towards Data Science</a></li><li>Gant-<a href="https://amzn.to/38EHKFW" target="_blank" rel="noreferrer noopener"> AI and Machine Learning for Coders: A Programmer's Guide to Artificial Intelligence</a> by Laurence Moroney</li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">184c1d92-5aa0-4cd2-a11e-a0565e6f5506</guid><pubDate>Tue, 29 Dec 2020 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842238/stream.mp3" length="67150407" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Alexey Grigorev is the lead data scientist for one of the biggest classified ads companies in the world. He walks us through gathering, mining, and understanding data to improve things. One big component of this is Machine Learning. It optimizes...</itunes:subtitle><itunes:summary><![CDATA[Alexey Grigorev is the lead data scientist for one of the biggest classified ads companies in the world. He walks us through gathering, mining, and understanding data to improve things. One big component of this is Machine Learning. It optimizes business processes and helps data scientists understand the data they have.    Panel    <ul><li>Beril Sirmacek</li><li>Daniel Svoboda</li><li>Gant Laborde</li></ul>    Guest    <ul><li>Alexey Grigorev</li></ul>    Sponsors    <ul><li><a href="http://192.81.209.174/learnML" target="_blank" rel="noreferrer noopener">Machine Learning for Software Engineers by Educative.io</a></li><li><a href="http://www.audibletrack.com/click.track?ADID=454213&amp;AFID=475401&amp;CID=102175&amp;SID=%26%2339%3B%26gt%3B" target="_blank" rel="noreferrer noopener">Audible.com</a></li></ul>    Picks    <ul><li>Alexey- <a href="https://datatalks.club/" target="_blank" rel="noreferrer noopener">DataTalks.Club</a></li><li>Beril- <a href="https://riseof.ai/" target="_blank" rel="noreferrer noopener">Rise of AI | Building an European AI Ecosystem</a></li><li>Daniel - <a href="https://medium.com/dair-ai" target="_blank" rel="noreferrer noopener">dair.ai- Medium </a></li><li>Daniel- <a href="https://quantumstat.medium.com/" target="_blank" rel="noreferrer noopener">Quantum Stat- Medium</a></li><li>Daniel-<a href="https://towardsdatascience.com/" target="_blank" rel="noreferrer noopener"> Towards Data Science</a></li><li>Gant-<a href="https://amzn.to/38EHKFW" target="_blank" rel="noreferrer noopener"> AI and Machine Learning for Coders: A Programmer's Guide to Artificial Intelligence</a> by Laurence Moroney</li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3168</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>ML 014: Deep Learning with Structured Data with Mark Ryan</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/ml-014-deep-learning-with-structured-data-with-mark-ryan</link><description><![CDATA[Mark Ryan is the lead Data Scientist for an insurance company in Toronto. He walks us through the ins and outs of structured data, how to manage it, and how to build Machine Learning systems. His book walks the reader through building a system that predicts whether bus routes in Toronto will be late using public domain data.    Panel    <ul><li>Charles Max Wood</li></ul>    Guest    <ul><li>Mark Ryan</li></ul>    Sponsors    <ul><li><a href="http://192.81.209.174/learnML" target="_blank" rel="noreferrer noopener">Machine Learning for Software Engineers by Educative.io</a></li><li><a href="http://www.audibletrack.com/click.track?ADID=454213&amp;AFID=475401&amp;CID=102175&amp;SID=%26%2339%3B%26gt%3B" target="_blank" rel="noreferrer noopener">Audible.com</a></li></ul>    Links    <ul><li><a href="https://openai.com/blog/openai-api/" target="_blank" rel="noreferrer noopener">OpenAI</a></li><li><a href="https://rasa.com/" target="_blank" rel="noreferrer noopener">Rasa</a></li><li><a href="https://keras.io/" target="_blank" rel="noreferrer noopener">Keras</a></li></ul>    Picks    <ul><li>Chuck -<a href="http://podcastgrowthsummit.co" target="_blank" rel="noreferrer noopener"> Podcast Growth Summit</a></li><li>Chuck-Most Valuable Dev</li><li>Chuck-<a href="https://www.audible.com/series/Wheel-of-Time-Audiobooks/B005NB81EI" target="_blank" rel="noreferrer noopener"> Wheel of Time</a> by Robert Jordan</li><li>Mark - <a href="https://www.imdb.com/title/tt0086807/" target="_blank" rel="noreferrer noopener">Spitting Image</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">5f61015e-487b-4039-9d42-f9c1a6e07ab5</guid><pubDate>Wed, 23 Dec 2020 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842244/stream.mp3" length="62410231" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Mark Ryan is the lead Data Scientist for an insurance company in Toronto. He walks us through the ins and outs of structured data, how to manage it, and how to build Machine Learning systems. His book walks the reader through building a system that...</itunes:subtitle><itunes:summary><![CDATA[Mark Ryan is the lead Data Scientist for an insurance company in Toronto. He walks us through the ins and outs of structured data, how to manage it, and how to build Machine Learning systems. His book walks the reader through building a system that predicts whether bus routes in Toronto will be late using public domain data.    Panel    <ul><li>Charles Max Wood</li></ul>    Guest    <ul><li>Mark Ryan</li></ul>    Sponsors    <ul><li><a href="http://192.81.209.174/learnML" target="_blank" rel="noreferrer noopener">Machine Learning for Software Engineers by Educative.io</a></li><li><a href="http://www.audibletrack.com/click.track?ADID=454213&amp;AFID=475401&amp;CID=102175&amp;SID=%26%2339%3B%26gt%3B" target="_blank" rel="noreferrer noopener">Audible.com</a></li></ul>    Links    <ul><li><a href="https://openai.com/blog/openai-api/" target="_blank" rel="noreferrer noopener">OpenAI</a></li><li><a href="https://rasa.com/" target="_blank" rel="noreferrer noopener">Rasa</a></li><li><a href="https://keras.io/" target="_blank" rel="noreferrer noopener">Keras</a></li></ul>    Picks    <ul><li>Chuck -<a href="http://podcastgrowthsummit.co" target="_blank" rel="noreferrer noopener"> Podcast Growth Summit</a></li><li>Chuck-Most Valuable Dev</li><li>Chuck-<a href="https://www.audible.com/series/Wheel-of-Time-Audiobooks/B005NB81EI" target="_blank" rel="noreferrer noopener"> Wheel of Time</a> by Robert Jordan</li><li>Mark - <a href="https://www.imdb.com/title/tt0086807/" target="_blank" rel="noreferrer noopener">Spitting Image</a></li></ul><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2931</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>BONUS: How to do LARGE Volumes of HIGH Quality Work - While Spending Fewer Hours Working</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/bonus-how-to-do-large-volumes-of-high-quality-work-while-spending-fewer-hours-working-2c9e5f0f-1bad-4cfc-831b-34077feee2a1</link><description><![CDATA[    <a href="https://devchat.tv/deep" target="_blank" rel="noreferrer noopener">Get the Black Friday/Cyber Monday "Double Your Productivity by 5pm Today" Deal</a><br /> Coupon Code: "DEEP" for a GIANT discount    Mani provides us with strategies and tactics to get Deep Work time and how to get our minds into that focused state for hours at a time.    He has read hundreds of books that have taught him the secrets to getting more done by getting into this state.    He starts by telling us how he was passed over for a promotion at Qualcomm in favor of someone younger and less experienced and how that inspired him to figure out what the other guy was doing differently. He learned that he needed to get more done with the time he was spending on his projects.    The trick? Deep Work!    Deep Work is the ability to spend uninterrupted, focused time on a task to bend your entire mind toward the goal.    Other developers call it "Flow" or "the Zone."    Mani provides us with strategies and tactics to get Deep Work time and how to get our minds into that focused state for hours at a time.     <a href="https://devchat.tv/deep" target="_blank" rel="noreferrer noopener">Get the Black Friday/Cyber Monday "Double Your Productivity by 5pm Today" Deal</a><br /> Coupon Code: "DEEP" for a GIANT discount   <br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">1f7890fe-e4c4-4320-8e12-3abfb8bf0b35</guid><pubDate>Fri, 27 Nov 2020 22:16:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842240/stream.mp3" length="60655893" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>    https://devchat.tv/deep
 Coupon Code: "DEEP" for a GIANT discount    Mani provides us with strategies and tactics to get Deep Work time and how to get our minds into that focused state for hours at a time.    He has read hundreds of books that...</itunes:subtitle><itunes:summary><![CDATA[    <a href="https://devchat.tv/deep" target="_blank" rel="noreferrer noopener">Get the Black Friday/Cyber Monday "Double Your Productivity by 5pm Today" Deal</a><br /> Coupon Code: "DEEP" for a GIANT discount    Mani provides us with strategies and tactics to get Deep Work time and how to get our minds into that focused state for hours at a time.    He has read hundreds of books that have taught him the secrets to getting more done by getting into this state.    He starts by telling us how he was passed over for a promotion at Qualcomm in favor of someone younger and less experienced and how that inspired him to figure out what the other guy was doing differently. He learned that he needed to get more done with the time he was spending on his projects.    The trick? Deep Work!    Deep Work is the ability to spend uninterrupted, focused time on a task to bend your entire mind toward the goal.    Other developers call it "Flow" or "the Zone."    Mani provides us with strategies and tactics to get Deep Work time and how to get our minds into that focused state for hours at a time.     <a href="https://devchat.tv/deep" target="_blank" rel="noreferrer noopener">Get the Black Friday/Cyber Monday "Double Your Productivity by 5pm Today" Deal</a><br /> Coupon Code: "DEEP" for a GIANT discount   <br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2843</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>ML 013: Recommender Systems with Frank Kane</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/ml-013-recommender-systems-with-frank-kane</link><description><![CDATA[In this episode of Adventures in Machine Learning, the amazing author and course creator Frank Kane entertains our panel with information and examples. Beril Sirmacek, Gant Laborde, Daniel Svoboda, &amp; Charles Wood talk with Frank Kane about recommender systems. The discussion elaborates on collaborative and content based recommendation systems, how they all work and how amazing they can be. Frank’s variety of experience provides fun stories, exciting examples, and a roadmap for beginners filled the complex domain with friendly stories. This episode is a MUST LISTEN for people interested in getting into Machine Learning or recommender systems.  Sponsors  <ul><li><a href="https://devchat.tv/learnML" target="_blank" rel="noreferrer noopener">Machine Learning for Software Engineers by Educative.io</a></li><li><a href="http://www.audibletrack.com/click.track?ADID=454213&amp;AFID=475401&amp;CID=102175&amp;SID=%26%2339%3B%26gt%3B" target="_blank" rel="noreferrer noopener">Audible.com</a></li><li><a href="https://www.cachefly.com/" target="_blank" rel="noreferrer noopener">CacheFly</a></li></ul>  Panel  <ul><li>Charles Max Wood</li><li>Gant Laborde</li><li>Daniel Svoboda</li><li>Beril Sirmacek</li></ul>  Guest  <ul><li>Frank Kane</li></ul>  Links  <ul><li><a href="https://gabriellecrumley.com/" target="_blank" rel="noreferrer noopener">https://gabriellecrumley.com/</a></li></ul>  Picks  Daniel Svoboda:  <ul><li><a href="https://www.imdb.com/title/tt2575988/" target="_blank" rel="noreferrer noopener">Silicon Valley</a></li><li><a href="https://machinelearningmastery.com/" target="_blank" rel="noreferrer noopener">machinelearningmastery.com</a></li></ul>  Beril Sirmacek:  <ul><li><a href="https://www.youtube.com/watch?ab_channel=BerilSirmacek&amp;v=vbK82K9_OzA" target="_blank" rel="noreferrer noopener">XAI course 2020 ~ Module2 ~ Introduction to AI &amp; ML</a></li></ul>  Gant Laborde:  <ul><li><a href="https://mlconf.eu/" target="_blank" rel="noreferrer noopener">https://mlconf.eu/</a></li></ul>  Charles Max Wood:  <ul><li>Stroopwafel (dutch food)</li><li><a href="https://www.podcastgrowthsummit.co/" target="_blank" rel="noreferrer noopener">https://www.podcastgrowthsummit.co/</a></li></ul>  Frank Kane:  <ul><li><a href="https://sundog-education.com/" target="_blank" rel="noreferrer noopener">https://sundog-education.com/</a></li><li><a href="https://devchat.tv/datascience.com" target="_blank" rel="noreferrer noopener">datascience.com</a></li><li><a href="https://www.amazon.com/Until-End-Time-Evolving-Universe/dp/1524731676" target="_blank" rel="noreferrer noopener">Until the End of Time: Mind, Matter, and Our Search for Meaning in an Evolving Universe</a></li></ul>  Follow Adventures in Machine Learning on Twitter &gt; <a href="https://twitter.com/podcast_ml" target="_blank" rel="noreferrer noopener">@podcast_ml</a><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">d5431d49-7fe5-4083-8e98-e72c17ed12f4</guid><pubDate>Tue, 17 Nov 2020 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842247/stream.mp3" length="61735199" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>In this episode of Adventures in Machine Learning, the amazing author and course creator Frank Kane entertains our panel with information and examples. Beril Sirmacek, Gant Laborde, Daniel Svoboda, &amp;amp; Charles Wood talk with Frank Kane about...</itunes:subtitle><itunes:summary><![CDATA[In this episode of Adventures in Machine Learning, the amazing author and course creator Frank Kane entertains our panel with information and examples. Beril Sirmacek, Gant Laborde, Daniel Svoboda, &amp; Charles Wood talk with Frank Kane about recommender systems. The discussion elaborates on collaborative and content based recommendation systems, how they all work and how amazing they can be. Frank’s variety of experience provides fun stories, exciting examples, and a roadmap for beginners filled the complex domain with friendly stories. This episode is a MUST LISTEN for people interested in getting into Machine Learning or recommender systems.  Sponsors  <ul><li><a href="https://devchat.tv/learnML" target="_blank" rel="noreferrer noopener">Machine Learning for Software Engineers by Educative.io</a></li><li><a href="http://www.audibletrack.com/click.track?ADID=454213&amp;AFID=475401&amp;CID=102175&amp;SID=%26%2339%3B%26gt%3B" target="_blank" rel="noreferrer noopener">Audible.com</a></li><li><a href="https://www.cachefly.com/" target="_blank" rel="noreferrer noopener">CacheFly</a></li></ul>  Panel  <ul><li>Charles Max Wood</li><li>Gant Laborde</li><li>Daniel Svoboda</li><li>Beril Sirmacek</li></ul>  Guest  <ul><li>Frank Kane</li></ul>  Links  <ul><li><a href="https://gabriellecrumley.com/" target="_blank" rel="noreferrer noopener">https://gabriellecrumley.com/</a></li></ul>  Picks  Daniel Svoboda:  <ul><li><a href="https://www.imdb.com/title/tt2575988/" target="_blank" rel="noreferrer noopener">Silicon Valley</a></li><li><a href="https://machinelearningmastery.com/" target="_blank" rel="noreferrer noopener">machinelearningmastery.com</a></li></ul>  Beril Sirmacek:  <ul><li><a href="https://www.youtube.com/watch?ab_channel=BerilSirmacek&amp;v=vbK82K9_OzA" target="_blank" rel="noreferrer noopener">XAI course 2020 ~ Module2 ~ Introduction to AI &amp; ML</a></li></ul>  Gant Laborde:  <ul><li><a href="https://mlconf.eu/" target="_blank" rel="noreferrer noopener">https://mlconf.eu/</a></li></ul>  Charles Max Wood:  <ul><li>Stroopwafel (dutch food)</li><li><a href="https://www.podcastgrowthsummit.co/" target="_blank" rel="noreferrer noopener">https://www.podcastgrowthsummit.co/</a></li></ul>  Frank Kane:  <ul><li><a href="https://sundog-education.com/" target="_blank" rel="noreferrer noopener">https://sundog-education.com/</a></li><li><a href="https://devchat.tv/datascience.com" target="_blank" rel="noreferrer noopener">datascience.com</a></li><li><a href="https://www.amazon.com/Until-End-Time-Evolving-Universe/dp/1524731676" target="_blank" rel="noreferrer noopener">Until the End of Time: Mind, Matter, and Our Search for Meaning in an Evolving Universe</a></li></ul>  Follow Adventures in Machine Learning on Twitter &gt; <a href="https://twitter.com/podcast_ml" target="_blank" rel="noreferrer noopener">@podcast_ml</a><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2897</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>ML 012: Machine Learning for Mere Mortals with Nick Chase</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/ml-012-machine-learning-for-mere-mortals-with-nick-chase</link><description><![CDATA[Nick Chase is the author of the video series “Machine Learning for Mere Mortals.” He helps break down some of the misconceptions about how complicated Machine Learning is and the magical parts of the science. He and the panelists then dive into the basics of what you need to know and break up the scary sounding terms and mathematical concepts into bite size pieces.  Enter for a chance to win a copy of Nick’s video course at https://devchat.tv/mere-mortals.  Sponsors  <ul><li><a href="https://devchat.tv/learnML" target="_blank" rel="noreferrer noopener">Machine Learning for Software Engineers by Educative.io</a></li><li><a href="http://www.audibletrack.com/click.track?ADID=454213&amp;AFID=475401&amp;CID=102175&amp;SID=%26%2339%3B%26gt%3B" target="_blank" rel="noreferrer noopener">Audible.com</a></li><li><a href="https://www.cachefly.com/" target="_blank" rel="noreferrer noopener">CacheFly</a></li></ul>  Panel  <ul><li>Charles Max Wood</li><li>Jason Mayes</li></ul>  Guest  <ul><li>Nick Chase</li></ul>  Picks  Jason Mayes:  <ul><li><a href="https://www.youtube.com/watch?v=cOC-ad0BsY0" target="_blank" rel="noreferrer noopener">Browser-Based Augmented Reality Sudoku Solver using TensorFlow and Image Processing</a></li></ul>  Charles Max Wood:  <ul><li><a href="https://www.brandonsanderson.com/the-stormlight-archive-series/" target="_blank" rel="noreferrer noopener">https://www.brandonsanderson.com/the-stormlight-archive-series/</a></li><li><a href="https://developeronfire.com/podcast/episode-448-nicholas-chase-expanding-what-people-think-they-can-do" target="_blank" rel="noreferrer noopener">https://developeronfire.com/podcast/episode-448-nicholas-chase-expanding-what-people-think-they-can-do</a></li></ul>  Nick Chase:  <ul><li><a href="https://www.manning.com/livevideo/machine-learning-for-mere-mortals" target="_blank" rel="noreferrer noopener">Machine Learning for Mere Mortals</a></li></ul>  Follow Adventures in Machine Learning on Twitter &gt; <a href="https://twitter.com/podcast_ml" target="_blank" rel="noreferrer noopener">@podcast_ml</a><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">b929adb8-9a86-426e-af53-83d006fa0db3</guid><pubDate>Tue, 03 Nov 2020 11:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842199/stream.mp3" length="47330264" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Nick Chase is the author of the video series “Machine Learning for Mere Mortals.” He helps break down some of the misconceptions about how complicated Machine Learning is and the magical parts of the science. He and the panelists then dive into the...</itunes:subtitle><itunes:summary><![CDATA[Nick Chase is the author of the video series “Machine Learning for Mere Mortals.” He helps break down some of the misconceptions about how complicated Machine Learning is and the magical parts of the science. He and the panelists then dive into the basics of what you need to know and break up the scary sounding terms and mathematical concepts into bite size pieces.  Enter for a chance to win a copy of Nick’s video course at https://devchat.tv/mere-mortals.  Sponsors  <ul><li><a href="https://devchat.tv/learnML" target="_blank" rel="noreferrer noopener">Machine Learning for Software Engineers by Educative.io</a></li><li><a href="http://www.audibletrack.com/click.track?ADID=454213&amp;AFID=475401&amp;CID=102175&amp;SID=%26%2339%3B%26gt%3B" target="_blank" rel="noreferrer noopener">Audible.com</a></li><li><a href="https://www.cachefly.com/" target="_blank" rel="noreferrer noopener">CacheFly</a></li></ul>  Panel  <ul><li>Charles Max Wood</li><li>Jason Mayes</li></ul>  Guest  <ul><li>Nick Chase</li></ul>  Picks  Jason Mayes:  <ul><li><a href="https://www.youtube.com/watch?v=cOC-ad0BsY0" target="_blank" rel="noreferrer noopener">Browser-Based Augmented Reality Sudoku Solver using TensorFlow and Image Processing</a></li></ul>  Charles Max Wood:  <ul><li><a href="https://www.brandonsanderson.com/the-stormlight-archive-series/" target="_blank" rel="noreferrer noopener">https://www.brandonsanderson.com/the-stormlight-archive-series/</a></li><li><a href="https://developeronfire.com/podcast/episode-448-nicholas-chase-expanding-what-people-think-they-can-do" target="_blank" rel="noreferrer noopener">https://developeronfire.com/podcast/episode-448-nicholas-chase-expanding-what-people-think-they-can-do</a></li></ul>  Nick Chase:  <ul><li><a href="https://www.manning.com/livevideo/machine-learning-for-mere-mortals" target="_blank" rel="noreferrer noopener">Machine Learning for Mere Mortals</a></li></ul>  Follow Adventures in Machine Learning on Twitter &gt; <a href="https://twitter.com/podcast_ml" target="_blank" rel="noreferrer noopener">@podcast_ml</a><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2177</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>ML 011: History of AI in the UK with Laurence Moroney</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/ml-011-history-of-ai-in-the-uk-with-laurence-moroney</link><description><![CDATA[In this episode of Adventures in Machine Learning, the panelists chat with Laurence Moroney about the history of AI in the UK. We talk about the AI overlords, ethics, and the need for teaching. Industry revolutions and how we can adapt them to improve life. Laurence is working on new synthetic datasets so tune in and check it out!  Sponsors  <ul><li><a href="https://devchat.tv/learnML" target="_blank" rel="noreferrer noopener">Machine Learning for Software Engineers by Educative.io</a></li><li><a href="http://www.audibletrack.com/click.track?ADID=454213&amp;AFID=475401&amp;CID=102175&amp;SID=%26%2339%3B%26gt%3B" target="_blank" rel="noreferrer noopener">Audible.com</a></li><li><a href="https://www.cachefly.com/" target="_blank" rel="noreferrer noopener">CacheFly</a></li></ul>  Panel  <ul><li>Charles Max Wood</li><li>Gant Laborde</li><li>Jason Mayes</li><li>Daniel Svoboda</li></ul>  Guest  <ul><li>Laurence Moroney</li></ul>  Picks  Jason Mayes:  <ul><li><a href="https://www.youtube.com/watch?ab_channel=TensorFlow&amp;v=fZ1rzawCPD4" target="_blank" rel="noreferrer noopener">TensorFlow.js Show and Tell on Youtube</a></li></ul>  Gant Laborde:  <ul><li><a href="https://www.tensorflowtictactoe.co/" target="_blank" rel="noreferrer noopener">https://www.tensorflowtictactoe.co/</a></li></ul>  Daniel Svoboda:  <ul><li><a href="https://www.youtube.com/channel/UCSNeZleDn9c74yQc-EKnVTA" target="_blank" rel="noreferrer noopener">Youtube: Kaggle</a></li></ul>  Laurence Moroney:  <ul><li><a href="https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1491962291" target="_blank" rel="noreferrer noopener">Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems</a></li><li><a href="https://themangaguide.fandom.com/wiki/The_Manga_Guide_to_Machine_Learning" target="_blank" rel="noreferrer noopener">The Manga Guide to Machine Learning</a></li></ul>  Follow Adventures in Machine Learning on Twitter &gt; <a href="https://twitter.com/podcast_ml" target="_blank" rel="noreferrer noopener">@podcast_ml</a><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">3e261b25-da8c-4e87-9311-94798fa8bf3f</guid><pubDate>Tue, 27 Oct 2020 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842237/stream.mp3" length="70775150" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>In this episode of Adventures in Machine Learning, the panelists chat with Laurence Moroney about the history of AI in the UK. We talk about the AI overlords, ethics, and the need for teaching. Industry revolutions and how we can adapt them to improve...</itunes:subtitle><itunes:summary><![CDATA[In this episode of Adventures in Machine Learning, the panelists chat with Laurence Moroney about the history of AI in the UK. We talk about the AI overlords, ethics, and the need for teaching. Industry revolutions and how we can adapt them to improve life. Laurence is working on new synthetic datasets so tune in and check it out!  Sponsors  <ul><li><a href="https://devchat.tv/learnML" target="_blank" rel="noreferrer noopener">Machine Learning for Software Engineers by Educative.io</a></li><li><a href="http://www.audibletrack.com/click.track?ADID=454213&amp;AFID=475401&amp;CID=102175&amp;SID=%26%2339%3B%26gt%3B" target="_blank" rel="noreferrer noopener">Audible.com</a></li><li><a href="https://www.cachefly.com/" target="_blank" rel="noreferrer noopener">CacheFly</a></li></ul>  Panel  <ul><li>Charles Max Wood</li><li>Gant Laborde</li><li>Jason Mayes</li><li>Daniel Svoboda</li></ul>  Guest  <ul><li>Laurence Moroney</li></ul>  Picks  Jason Mayes:  <ul><li><a href="https://www.youtube.com/watch?ab_channel=TensorFlow&amp;v=fZ1rzawCPD4" target="_blank" rel="noreferrer noopener">TensorFlow.js Show and Tell on Youtube</a></li></ul>  Gant Laborde:  <ul><li><a href="https://www.tensorflowtictactoe.co/" target="_blank" rel="noreferrer noopener">https://www.tensorflowtictactoe.co/</a></li></ul>  Daniel Svoboda:  <ul><li><a href="https://www.youtube.com/channel/UCSNeZleDn9c74yQc-EKnVTA" target="_blank" rel="noreferrer noopener">Youtube: Kaggle</a></li></ul>  Laurence Moroney:  <ul><li><a href="https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1491962291" target="_blank" rel="noreferrer noopener">Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems</a></li><li><a href="https://themangaguide.fandom.com/wiki/The_Manga_Guide_to_Machine_Learning" target="_blank" rel="noreferrer noopener">The Manga Guide to Machine Learning</a></li></ul>  Follow Adventures in Machine Learning on Twitter &gt; <a href="https://twitter.com/podcast_ml" target="_blank" rel="noreferrer noopener">@podcast_ml</a><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3349</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>ML 010: Brains, Guitars, and JavaScript with Milecia McGregor</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/ml-010-brains-guitars-and-javascript-with-milecia-mcgregor</link><description><![CDATA[In this episode of Adventures in Machine Learning, Charles and Gant chat with Milecia about applying AI to UI/UX and the conversation takes a creative turn as they discuss plenty of other fun-filled and exciting topics she’s working on. There’s banter about self-driving cars and golf carts as they apply AI/ML to practical and non-practical uses. The epic mind-powered guitar takes the stage and classic movies get referenced. Be sure to follow Milecia on her adventures in Machine Learning on her Twitter at https://twitter.com/flippedcoding.  Sponsors  <ul><li><a href="https://devchat.tv/learnML" target="_blank" rel="noreferrer noopener">Machine Learning for Software Engineers by Educative.io</a></li><li><a href="http://www.audibletrack.com/click.track?ADID=454213&amp;AFID=475401&amp;CID=102175&amp;SID=%26%2339%3B%26gt%3B" target="_blank" rel="noreferrer noopener">Audible.com</a></li><li><a href="https://www.cachefly.com/" target="_blank" rel="noreferrer noopener">CacheFly</a></li></ul>  Panel  <ul><li>Charles Max Wood</li><li>Gant Laborde</li></ul>  Guest  <ul><li>Milecia McGregor</li></ul>  Links  <ul><li><a href="https://halfstackconf.com/newyork/2019/JSConf" target="_blank" rel="noreferrer noopener">HalfStackNYC talk</a></li><li><a href="https://www.youtube.com/watch?v=3lcsAWLf6yk" target="_blank" rel="noreferrer noopener">Hawaii</a></li><li><a href="https://github.com/google-research/bert" target="_blank" rel="noreferrer noopener">https://github.com/google-research/bert</a></li><li><a href="https://scholar.google.com/" target="_blank" rel="noreferrer noopener">https://scholar.google.com/</a></li><li><a href="https://audible.com/code" target="_blank" rel="noreferrer noopener">https://audible.com/code</a></li></ul>  Picks  Gant Laborde:  <ul><li><a href="http://virtualcoffee.io/" target="_blank" rel="noreferrer noopener">http://virtualcoffee.io/</a></li></ul>  Charles Max Wood:  <ul><li><a href="https://amzn.to/2EnQTao" target="_blank" rel="noreferrer noopener">The Black Prism</a></li></ul>  Milecia McGregor:  <ul><li><a href="https://www.amazon.com/War-Art-Winning-Creative-Battle-audio-cd/dp/1501260626" target="_blank" rel="noreferrer noopener">War of Art</a></li><li><a href="https://javascript-conference.com/node-js/reading-thoughts-with-javascript/" target="_blank" rel="noreferrer noopener">https://javascript-conference.com/node-js/reading-thoughts-with-javascript/</a></li></ul>  Follow Adventures in Machine Learning on Twitter &gt; <a href="https://twitter.com/podcast_ml" target="_blank" rel="noreferrer noopener">@podcast_ml</a><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">392d97ff-93b1-4579-98b7-dcff27c90e20</guid><pubDate>Tue, 20 Oct 2020 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842231/stream.mp3" length="57780297" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>In this episode of Adventures in Machine Learning, Charles and Gant chat with Milecia about applying AI to UI/UX and the conversation takes a creative turn as they discuss plenty of other fun-filled and exciting topics she’s working on. There’s banter...</itunes:subtitle><itunes:summary><![CDATA[In this episode of Adventures in Machine Learning, Charles and Gant chat with Milecia about applying AI to UI/UX and the conversation takes a creative turn as they discuss plenty of other fun-filled and exciting topics she’s working on. There’s banter about self-driving cars and golf carts as they apply AI/ML to practical and non-practical uses. The epic mind-powered guitar takes the stage and classic movies get referenced. Be sure to follow Milecia on her adventures in Machine Learning on her Twitter at https://twitter.com/flippedcoding.  Sponsors  <ul><li><a href="https://devchat.tv/learnML" target="_blank" rel="noreferrer noopener">Machine Learning for Software Engineers by Educative.io</a></li><li><a href="http://www.audibletrack.com/click.track?ADID=454213&amp;AFID=475401&amp;CID=102175&amp;SID=%26%2339%3B%26gt%3B" target="_blank" rel="noreferrer noopener">Audible.com</a></li><li><a href="https://www.cachefly.com/" target="_blank" rel="noreferrer noopener">CacheFly</a></li></ul>  Panel  <ul><li>Charles Max Wood</li><li>Gant Laborde</li></ul>  Guest  <ul><li>Milecia McGregor</li></ul>  Links  <ul><li><a href="https://halfstackconf.com/newyork/2019/JSConf" target="_blank" rel="noreferrer noopener">HalfStackNYC talk</a></li><li><a href="https://www.youtube.com/watch?v=3lcsAWLf6yk" target="_blank" rel="noreferrer noopener">Hawaii</a></li><li><a href="https://github.com/google-research/bert" target="_blank" rel="noreferrer noopener">https://github.com/google-research/bert</a></li><li><a href="https://scholar.google.com/" target="_blank" rel="noreferrer noopener">https://scholar.google.com/</a></li><li><a href="https://audible.com/code" target="_blank" rel="noreferrer noopener">https://audible.com/code</a></li></ul>  Picks  Gant Laborde:  <ul><li><a href="http://virtualcoffee.io/" target="_blank" rel="noreferrer noopener">http://virtualcoffee.io/</a></li></ul>  Charles Max Wood:  <ul><li><a href="https://amzn.to/2EnQTao" target="_blank" rel="noreferrer noopener">The Black Prism</a></li></ul>  Milecia McGregor:  <ul><li><a href="https://www.amazon.com/War-Art-Winning-Creative-Battle-audio-cd/dp/1501260626" target="_blank" rel="noreferrer noopener">War of Art</a></li><li><a href="https://javascript-conference.com/node-js/reading-thoughts-with-javascript/" target="_blank" rel="noreferrer noopener">https://javascript-conference.com/node-js/reading-thoughts-with-javascript/</a></li></ul>  Follow Adventures in Machine Learning on Twitter &gt; <a href="https://twitter.com/podcast_ml" target="_blank" rel="noreferrer noopener">@podcast_ml</a><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2700</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>ML 009: Effective Machine Learning in Academia and Industry with Hassan Kane</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/ml-009-effective-machine-learning-in-academia-and-industry-with-hassan-kane</link><description><![CDATA[In this week’s episode of Adventures in Machine Learning we have Hassan Kane, data scientist lead at Entropy Labs. Hassan discusses his journey from being raised in Ivory Coast, Africa to getting his education in computer science from MIT, to his discovery and embracing of machine learning. Hassan discusses various applications of machine learning, including that of NASA, satellites and edge devices..  Sponsors  <ul><li><a href="https://devchat.tv/learnML" target="_blank" rel="noreferrer noopener">Machine Learning for Software Engineers by Educative.io</a></li><li><a href="http://www.audibletrack.com/click.track?ADID=454213&amp;AFID=475401&amp;CID=102175&amp;SID=%26%2339%3B%26gt%3B" target="_blank" rel="noreferrer noopener">Audible.com</a></li><li><a href="https://www.cachefly.com/" target="_blank" rel="noreferrer noopener">CacheFly</a></li></ul>  Panel  <ul><li>Charles Max Wood</li><li>Gant Laborde</li></ul>  Guest  <ul><li>Hassan Kane</li></ul>  Links  <ul><li><a href="https://www.kaggle.com/c/birdsong-recognition" target="_blank" rel="noreferrer noopener">www.kaggle.com/c/birdsong-recognition</a></li></ul>  Picks  Gant Laborde:  <ul><li>My daughter turning 2 years old</li><li><a href="https://twitter.com/funmachinelearn" target="_blank" rel="noreferrer noopener">twitter.com/funmachinelearn</a></li></ul>  Charles Max Wood:  <ul><li><a href="https://amzn.to/2BO96wY" target="_blank" rel="noreferrer noopener">Black Prism</a></li><li><a href="https://writingexcuses.com/" target="_blank" rel="noreferrer noopener">writingexcuses.com</a></li><li><a href="http://blastoffbootcamper.com/" target="_blank" rel="noreferrer noopener">blastoffbootcamper.com</a></li></ul>  Hassan Kane:  <ul><li><a href="https://www.amazon.com/AI-Superpowers-China-Silicon-Valley/dp/132854639X" target="_blank" rel="noreferrer noopener">AI-Superpowers-China-Silicon-Valley</a></li><li><a href="https://twitter.com/black_in_ai" target="_blank" rel="noreferrer noopener">twitter.com/black_in_ai</a></li></ul>  Follow Adventures in Machine Learning on Twitter &gt; <a href="https://twitter.com/podcast_ml" target="_blank" rel="noreferrer noopener">@podcast_ml</a><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">cccb3132-d490-4887-8509-56943ec741fb</guid><pubDate>Tue, 13 Oct 2020 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842196/stream.mp3" length="25521472" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>In this week’s episode of Adventures in Machine Learning we have Hassan Kane, data scientist lead at Entropy Labs. Hassan discusses his journey from being raised in Ivory Coast, Africa to getting his education in computer science from MIT, to his...</itunes:subtitle><itunes:summary><![CDATA[In this week’s episode of Adventures in Machine Learning we have Hassan Kane, data scientist lead at Entropy Labs. Hassan discusses his journey from being raised in Ivory Coast, Africa to getting his education in computer science from MIT, to his discovery and embracing of machine learning. Hassan discusses various applications of machine learning, including that of NASA, satellites and edge devices..  Sponsors  <ul><li><a href="https://devchat.tv/learnML" target="_blank" rel="noreferrer noopener">Machine Learning for Software Engineers by Educative.io</a></li><li><a href="http://www.audibletrack.com/click.track?ADID=454213&amp;AFID=475401&amp;CID=102175&amp;SID=%26%2339%3B%26gt%3B" target="_blank" rel="noreferrer noopener">Audible.com</a></li><li><a href="https://www.cachefly.com/" target="_blank" rel="noreferrer noopener">CacheFly</a></li></ul>  Panel  <ul><li>Charles Max Wood</li><li>Gant Laborde</li></ul>  Guest  <ul><li>Hassan Kane</li></ul>  Links  <ul><li><a href="https://www.kaggle.com/c/birdsong-recognition" target="_blank" rel="noreferrer noopener">www.kaggle.com/c/birdsong-recognition</a></li></ul>  Picks  Gant Laborde:  <ul><li>My daughter turning 2 years old</li><li><a href="https://twitter.com/funmachinelearn" target="_blank" rel="noreferrer noopener">twitter.com/funmachinelearn</a></li></ul>  Charles Max Wood:  <ul><li><a href="https://amzn.to/2BO96wY" target="_blank" rel="noreferrer noopener">Black Prism</a></li><li><a href="https://writingexcuses.com/" target="_blank" rel="noreferrer noopener">writingexcuses.com</a></li><li><a href="http://blastoffbootcamper.com/" target="_blank" rel="noreferrer noopener">blastoffbootcamper.com</a></li></ul>  Hassan Kane:  <ul><li><a href="https://www.amazon.com/AI-Superpowers-China-Silicon-Valley/dp/132854639X" target="_blank" rel="noreferrer noopener">AI-Superpowers-China-Silicon-Valley</a></li><li><a href="https://twitter.com/black_in_ai" target="_blank" rel="noreferrer noopener">twitter.com/black_in_ai</a></li></ul>  Follow Adventures in Machine Learning on Twitter &gt; <a href="https://twitter.com/podcast_ml" target="_blank" rel="noreferrer noopener">@podcast_ml</a><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>1087</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>ML 008: TensorFlow.js and YOU with Jason Mayes</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/ml-008-tensorflow-js-and-you-with-jason-mayes</link><description><![CDATA[TensorFlow is a machine learning library that allows a user to program deep learning architectures. It is normally associated with backend programming languages like Python and is written in C++, but what if you can utilize it in Javascript to program deep learning models for frontend web applications. Guest Jason Mayes talks about doing this with Tensorflow JS.  Sponsors  <ul><li><a href="https://devchat.tv/learnML" target="_blank" rel="noreferrer noopener">Machine Learning for Software Engineers by Educative.io</a></li><li><a href="http://www.audibletrack.com/click.track?ADID=454213&amp;AFID=475401&amp;CID=102175&amp;SID=%26%2339%3B%26gt%3B" target="_blank" rel="noreferrer noopener">Audible.com</a></li><li><a href="https://www.cachefly.com/" target="_blank" rel="noreferrer noopener">CacheFly</a></li></ul>  Panel  <ul><li>Charles Max Wood</li><li>Gant Laborde</li></ul>  Guest  <ul><li>Jason Mayes</li></ul>  Links  <ul><li><a href="https://medium.com/google-developer-experts/improve-your-virtual-setup-sound-eee8c22036fc" target="_blank" rel="noreferrer noopener">https://medium.com/google-developer-experts/improve-your-virtual-setup-sound-eee8c22036fc</a></li><li><a href="https://github.com/jasonmayes" target="_blank" rel="noreferrer noopener">https://github.com/jasonmayes</a></li><li><a href="http://www.jasonmayes.com/" target="_blank" rel="noreferrer noopener">http://www.jasonmayes.com</a></li><li><a href="https://www.linkedin.com/in/creativetech" target="_blank" rel="noreferrer noopener">https://www.linkedin.com/in/creativetech</a></li><li><a href="https://devchat.tv/github.com/tensorflow/tfjs" target="_blank" rel="noreferrer noopener">Github Code</a></li><li><a href="https://devchat.tv/tfjs@tensorflow.orgCodepen" target="_blank" rel="noreferrer noopener">Google Group</a></li><li><a href="https://devchat.tv/codepen.io/topic/tensorflowGlitch" target="_blank" rel="noreferrer noopener">codepen.io/topic/tensorflowGlitch</a></li><li><a href="https://devchat.tv/glitch.com/@TensorFlowJS" target="_blank" rel="noreferrer noopener">glitch.com/@TensorFlowJS</a></li></ul>  Picks  Gant Laborde:  <ul><li><a href="https://academy.infinite.red/p/beginning-machine-learning-with-tensorflow-js" target="_blank" rel="noreferrer noopener">Beginning Machine Learning with TensorFlow.js</a></li></ul>  Charles Max Wood:  <ul><li><a href="https://podcastplaybook.co/" target="_blank" rel="noreferrer noopener">https://podcastplaybook.co</a></li><li><a href="https://www.imdb.com/title/tt2402137/" target="_blank" rel="noreferrer noopener">Legends (TV show)</a></li></ul>  Jason Mayes:  <ul><li>#MadeWithTFJS</li></ul>  Follow Adventures in Machine Learning on Twitter &gt; <a href="https://twitter.com/podcast_ml" target="_blank" rel="noreferrer noopener">@podcast_ml</a><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">5e9a1994-21a2-4bd9-9bd5-20e1f5d6f61e</guid><pubDate>Tue, 06 Oct 2020 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842243/stream.mp3" length="59284552" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>TensorFlow is a machine learning library that allows a user to program deep learning architectures. It is normally associated with backend programming languages like Python and is written in C++, but what if you can utilize it in Javascript to program...</itunes:subtitle><itunes:summary><![CDATA[TensorFlow is a machine learning library that allows a user to program deep learning architectures. It is normally associated with backend programming languages like Python and is written in C++, but what if you can utilize it in Javascript to program deep learning models for frontend web applications. Guest Jason Mayes talks about doing this with Tensorflow JS.  Sponsors  <ul><li><a href="https://devchat.tv/learnML" target="_blank" rel="noreferrer noopener">Machine Learning for Software Engineers by Educative.io</a></li><li><a href="http://www.audibletrack.com/click.track?ADID=454213&amp;AFID=475401&amp;CID=102175&amp;SID=%26%2339%3B%26gt%3B" target="_blank" rel="noreferrer noopener">Audible.com</a></li><li><a href="https://www.cachefly.com/" target="_blank" rel="noreferrer noopener">CacheFly</a></li></ul>  Panel  <ul><li>Charles Max Wood</li><li>Gant Laborde</li></ul>  Guest  <ul><li>Jason Mayes</li></ul>  Links  <ul><li><a href="https://medium.com/google-developer-experts/improve-your-virtual-setup-sound-eee8c22036fc" target="_blank" rel="noreferrer noopener">https://medium.com/google-developer-experts/improve-your-virtual-setup-sound-eee8c22036fc</a></li><li><a href="https://github.com/jasonmayes" target="_blank" rel="noreferrer noopener">https://github.com/jasonmayes</a></li><li><a href="http://www.jasonmayes.com/" target="_blank" rel="noreferrer noopener">http://www.jasonmayes.com</a></li><li><a href="https://www.linkedin.com/in/creativetech" target="_blank" rel="noreferrer noopener">https://www.linkedin.com/in/creativetech</a></li><li><a href="https://devchat.tv/github.com/tensorflow/tfjs" target="_blank" rel="noreferrer noopener">Github Code</a></li><li><a href="https://devchat.tv/tfjs@tensorflow.orgCodepen" target="_blank" rel="noreferrer noopener">Google Group</a></li><li><a href="https://devchat.tv/codepen.io/topic/tensorflowGlitch" target="_blank" rel="noreferrer noopener">codepen.io/topic/tensorflowGlitch</a></li><li><a href="https://devchat.tv/glitch.com/@TensorFlowJS" target="_blank" rel="noreferrer noopener">glitch.com/@TensorFlowJS</a></li></ul>  Picks  Gant Laborde:  <ul><li><a href="https://academy.infinite.red/p/beginning-machine-learning-with-tensorflow-js" target="_blank" rel="noreferrer noopener">Beginning Machine Learning with TensorFlow.js</a></li></ul>  Charles Max Wood:  <ul><li><a href="https://podcastplaybook.co/" target="_blank" rel="noreferrer noopener">https://podcastplaybook.co</a></li><li><a href="https://www.imdb.com/title/tt2402137/" target="_blank" rel="noreferrer noopener">Legends (TV show)</a></li></ul>  Jason Mayes:  <ul><li>#MadeWithTFJS</li></ul>  Follow Adventures in Machine Learning on Twitter &gt; <a href="https://twitter.com/podcast_ml" target="_blank" rel="noreferrer noopener">@podcast_ml</a><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2775</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>ML 007: Computer Vision &amp; AI Scientist with Beril Sirmacek</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/ml-007-computer-vision-ai-scientist-with-beril-sirmacek</link><description><![CDATA[Beril Sirmacek is a data scientist and an assistant professor at Jonkoping University. She explains what computer vision is, what type of projects are done with it, and her own work regarding it.  Sponsors  <ul><li><a href="https://devchat.tv/learnML" target="_blank" rel="noreferrer noopener">Machine Learning for Software Engineers by Educative.io</a></li><li><a href="http://www.audibletrack.com/click.track?ADID=454213&amp;AFID=475401&amp;CID=102175&amp;SID=%26%2339%3B%26gt%3B" target="_blank" rel="noreferrer noopener">Audible.com</a></li><li><a href="https://www.cachefly.com/" target="_blank" rel="noreferrer noopener">CacheFly</a></li></ul>  Panel  <ul><li>Charles Max Wood</li><li>Gant Laborde</li></ul>  Guest  <ul><li>Beril Sirmacek</li></ul>  Links  <ul><li><a href="https://www.youtube.com/user/DrSirmacek/videos" target="_blank" rel="noreferrer noopener">https://www.youtube.com/user/DrSirmacek/videos</a></li><li><a href="http://www.berilsirmacek.com/" target="_blank" rel="noreferrer noopener">http://www.berilsirmacek.com/</a></li><li><a href="https://arxiv.org/abs/1910.13348" target="_blank" rel="noreferrer noopener">Sequential image processing methods for improving semantic video segmentation algorithms</a></li><li><a href="https://youtu.be/rkyD56ln8ME" target="_blank" rel="noreferrer noopener">DEEPLAB vs YOLO</a></li><li><a href="https://towardsdatascience.com/understanding-model-predictions-with-lime-a582fdff3a3b" target="_blank" rel="noreferrer noopener">Understanding model predictions with LIME</a></li></ul>  Picks  Gant Laborde:  <ul><li><a href="https://www.react-native.eu/" target="_blank" rel="noreferrer noopener">React Native EU</a></li></ul>  Charles Max Wood:  <ul><li><a href="https://www.amazon.com/Warbreaker-Brandon-Sanderson/dp/0765360039" target="_blank" rel="noreferrer noopener">Warbreaker Mass Market</a></li></ul>  Beril Sirmacek:  <ul><li><a href="https://www.amazon.com/Fast-Academic-Success-Changing-Principles/dp/153347589X" target="_blank" rel="noreferrer noopener">Fast Academic Success: Little Book of The Life Changing Secrets</a></li></ul>  Follow Adventures in Machine Learning on Twitter &gt; <a href="https://twitter.com/podcast_ml" target="_blank" rel="noreferrer noopener">@podcast_ml</a><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">9118a991-281f-477f-922a-85767e7a14a5</guid><pubDate>Tue, 29 Sep 2020 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842236/stream.mp3" length="52485263" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Beril Sirmacek is a data scientist and an assistant professor at Jonkoping University. She explains what computer vision is, what type of projects are done with it, and her own work regarding it.  Sponsors  
- https://devchat.tv/learnML
-...</itunes:subtitle><itunes:summary><![CDATA[Beril Sirmacek is a data scientist and an assistant professor at Jonkoping University. She explains what computer vision is, what type of projects are done with it, and her own work regarding it.  Sponsors  <ul><li><a href="https://devchat.tv/learnML" target="_blank" rel="noreferrer noopener">Machine Learning for Software Engineers by Educative.io</a></li><li><a href="http://www.audibletrack.com/click.track?ADID=454213&amp;AFID=475401&amp;CID=102175&amp;SID=%26%2339%3B%26gt%3B" target="_blank" rel="noreferrer noopener">Audible.com</a></li><li><a href="https://www.cachefly.com/" target="_blank" rel="noreferrer noopener">CacheFly</a></li></ul>  Panel  <ul><li>Charles Max Wood</li><li>Gant Laborde</li></ul>  Guest  <ul><li>Beril Sirmacek</li></ul>  Links  <ul><li><a href="https://www.youtube.com/user/DrSirmacek/videos" target="_blank" rel="noreferrer noopener">https://www.youtube.com/user/DrSirmacek/videos</a></li><li><a href="http://www.berilsirmacek.com/" target="_blank" rel="noreferrer noopener">http://www.berilsirmacek.com/</a></li><li><a href="https://arxiv.org/abs/1910.13348" target="_blank" rel="noreferrer noopener">Sequential image processing methods for improving semantic video segmentation algorithms</a></li><li><a href="https://youtu.be/rkyD56ln8ME" target="_blank" rel="noreferrer noopener">DEEPLAB vs YOLO</a></li><li><a href="https://towardsdatascience.com/understanding-model-predictions-with-lime-a582fdff3a3b" target="_blank" rel="noreferrer noopener">Understanding model predictions with LIME</a></li></ul>  Picks  Gant Laborde:  <ul><li><a href="https://www.react-native.eu/" target="_blank" rel="noreferrer noopener">React Native EU</a></li></ul>  Charles Max Wood:  <ul><li><a href="https://www.amazon.com/Warbreaker-Brandon-Sanderson/dp/0765360039" target="_blank" rel="noreferrer noopener">Warbreaker Mass Market</a></li></ul>  Beril Sirmacek:  <ul><li><a href="https://www.amazon.com/Fast-Academic-Success-Changing-Principles/dp/153347589X" target="_blank" rel="noreferrer noopener">Fast Academic Success: Little Book of The Life Changing Secrets</a></li></ul>  Follow Adventures in Machine Learning on Twitter &gt; <a href="https://twitter.com/podcast_ml" target="_blank" rel="noreferrer noopener">@podcast_ml</a><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2435</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>ML 006: Mad Science AI with Benson Ruan</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/ml-006-mad-science-ai-with-benson-ruan</link><description><![CDATA[Benson Ruan talks about his experiences as a machine learning tech lead for a fintech company in Sydney, Australia. He goes over his education in machine learning from Coursera, especially doing Andrew Ng’s deep learning course that started his journey up to his current position.  Sponsors  <ul><li><a href="https://devchat.tv/learnML" target="_blank" rel="noreferrer noopener">Machine Learning for Software Engineers by Educative.io</a></li><li><a href="http://www.audibletrack.com/click.track?ADID=454213&amp;AFID=475401&amp;CID=102175&amp;SID=%26%2339%3B%26gt%3B" target="_blank" rel="noreferrer noopener">Audible.com</a></li><li><a href="https://www.cachefly.com/" target="_blank" rel="noreferrer noopener">CacheFly</a></li></ul>  Panel  <ul><li>Charles Max Wood</li><li>Gant Laborde</li></ul>  Guest  <ul><li>Benson Ruan</li></ul>  Links  <ul><li><a href="https://bensonruan.com/selfie-anywhere-person-segmentation-with-bodypix" target="_blank" rel="noreferrer noopener">Real-time webcam background change with body segmentation technique</a></li><li><a href="https://bensonruan.com/face-mask-for-trump-with-face-landmark-detection" target="_blank" rel="noreferrer noopener">Face mask virtual try on with face landmarks detection technique</a></li><li><a href="https://bensonruan.com/twitter-sentiment-analysis-with-sentiment-node-js" target="_blank" rel="noreferrer noopener">Twitter Sentiment Analysis</a></li></ul>  Picks  Gant Laborde:  <ul><li>My Hero Academia</li></ul>  Charles Max Wood:  <ul><li><a href="https://www.audible.com/pd/The-12-Week-Year-Audiobook/B00KLJWPIA" target="_blank" rel="noreferrer noopener">The 12 Week Year</a></li><li><a href="https://www.audible.com/pd/The-Obstacle-Is-the-Way-Audiobook/B00K252ET8?ds_rl=1260658&amp;gclid=Cj0KCQjwnqH7BRDdARIsACTSAdsawF-gBkq9CzokrlUb2nFFUXMol7LLiV9tBnRGkl90zx92rVfgCk8aAq6CEALw_wcB&amp;gclsrc=aw.ds&amp;source_code=GO1GB13304202090MO" target="_blank" rel="noreferrer noopener">The Obstacle Is the Way by Ryan Holiday</a></li></ul>  Benson Ruan:  <ul><li><a href="https://www.youtube.com/watch?v=z05bjEEgVQc" target="_blank" rel="noreferrer noopener">TensorFlow.js Community Show &amp; Tell</a></li></ul>  Follow Adventures in Machine Learning on Twitter &gt; <a href="https://twitter.com/podcast_ml" target="_blank" rel="noreferrer noopener">@podcast_ml</a><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">338662e3-d333-43fe-83d4-2e316537c679</guid><pubDate>Tue, 22 Sep 2020 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842235/stream.mp3" length="47525095" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Benson Ruan talks about his experiences as a machine learning tech lead for a fintech company in Sydney, Australia. He goes over his education in machine learning from Coursera, especially doing Andrew Ng’s deep learning course that started his...</itunes:subtitle><itunes:summary><![CDATA[Benson Ruan talks about his experiences as a machine learning tech lead for a fintech company in Sydney, Australia. He goes over his education in machine learning from Coursera, especially doing Andrew Ng’s deep learning course that started his journey up to his current position.  Sponsors  <ul><li><a href="https://devchat.tv/learnML" target="_blank" rel="noreferrer noopener">Machine Learning for Software Engineers by Educative.io</a></li><li><a href="http://www.audibletrack.com/click.track?ADID=454213&amp;AFID=475401&amp;CID=102175&amp;SID=%26%2339%3B%26gt%3B" target="_blank" rel="noreferrer noopener">Audible.com</a></li><li><a href="https://www.cachefly.com/" target="_blank" rel="noreferrer noopener">CacheFly</a></li></ul>  Panel  <ul><li>Charles Max Wood</li><li>Gant Laborde</li></ul>  Guest  <ul><li>Benson Ruan</li></ul>  Links  <ul><li><a href="https://bensonruan.com/selfie-anywhere-person-segmentation-with-bodypix" target="_blank" rel="noreferrer noopener">Real-time webcam background change with body segmentation technique</a></li><li><a href="https://bensonruan.com/face-mask-for-trump-with-face-landmark-detection" target="_blank" rel="noreferrer noopener">Face mask virtual try on with face landmarks detection technique</a></li><li><a href="https://bensonruan.com/twitter-sentiment-analysis-with-sentiment-node-js" target="_blank" rel="noreferrer noopener">Twitter Sentiment Analysis</a></li></ul>  Picks  Gant Laborde:  <ul><li>My Hero Academia</li></ul>  Charles Max Wood:  <ul><li><a href="https://www.audible.com/pd/The-12-Week-Year-Audiobook/B00KLJWPIA" target="_blank" rel="noreferrer noopener">The 12 Week Year</a></li><li><a href="https://www.audible.com/pd/The-Obstacle-Is-the-Way-Audiobook/B00K252ET8?ds_rl=1260658&amp;gclid=Cj0KCQjwnqH7BRDdARIsACTSAdsawF-gBkq9CzokrlUb2nFFUXMol7LLiV9tBnRGkl90zx92rVfgCk8aAq6CEALw_wcB&amp;gclsrc=aw.ds&amp;source_code=GO1GB13304202090MO" target="_blank" rel="noreferrer noopener">The Obstacle Is the Way by Ryan Holiday</a></li></ul>  Benson Ruan:  <ul><li><a href="https://www.youtube.com/watch?v=z05bjEEgVQc" target="_blank" rel="noreferrer noopener">TensorFlow.js Community Show &amp; Tell</a></li></ul>  Follow Adventures in Machine Learning on Twitter &gt; <a href="https://twitter.com/podcast_ml" target="_blank" rel="noreferrer noopener">@podcast_ml</a><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2187</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>ML 005: Transfer Learning for NLP with Daniel Svoboda</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/ml-005-transfer-learning-for-nlp-with-daniel-svoboda</link><description><![CDATA[One of the hottest fields right now in machine learning is natural language processing. Whether it’s getting sentiment from tweets, summarizing your documents, sarcasm detection, or predicting stock trends from the news, NLP is definitely the wave of the future. Special guest Daniel Svoboda talks about transfer learning and the latest developments such as BERT that promises to revolutionize NLP even further.  Sponsors  <ul><li><a href="https://devchat.tv/learnML" target="_blank" rel="noreferrer noopener">Machine Learning for Software Engineers by Educative.io</a></li><li><a href="http://www.audibletrack.com/click.track?ADID=454213&amp;AFID=475401&amp;CID=102175&amp;SID=%26%2339%3B%26gt%3B" target="_blank" rel="noreferrer noopener">Audible.com</a></li><li><a href="https://www.cachefly.com/" target="_blank" rel="noreferrer noopener">CacheFly</a></li></ul>  Panel  <ul><li>Charles Max Wood</li><li>Gant Laborde</li></ul>  Guest  <ul><li>Daniel Svoboda</li></ul>  Links  <ul><li><a href="https://towardsdatascience.com/bert-explained-state-of-the-art-language-model-for-nlp-f8b21a9b6270" target="_blank" rel="noreferrer noopener">towardsdatascience.com/bert-explained-state-of-the-art-language-model-for-nlp</a></li><li><a href="https://ai.googleblog.com/2018/11/open-sourcing-bert-state-of-art-pre.html" target="_blank" rel="noreferrer noopener">ai.googleblog.com/2018/11/open-sourcing-bert-state-of-art-pre.html</a></li><li><a href="https://ai.googleblog.com/2017/08/transformer-novel-neural-network.html" target="_blank" rel="noreferrer noopener">ai.googleblog.com/2017/08/transformer-novel-neural-network.html</a></li><li><a href="https://www.nltk.org/" target="_blank" rel="noreferrer noopener">www.nltk.org</a></li><li><a href="https://spacy.io/" target="_blank" rel="noreferrer noopener">spacy.io</a></li><li><a href="https://www.kaggle.com/" target="_blank" rel="noreferrer noopener">https://www.kaggle.com</a></li><li> </li></ul>  Picks  Charles Max Wood:  <ul><li><a href="https://www.amazon.com/Traffic-Secrets-Underground-Playbook-Customers/dp/B08B9XH6KH/ref=tmm_aud_swatch_0?_encoding=UTF8&amp;qid=&amp;sr=For+You" target="_blank" rel="noreferrer noopener">Traffic Secrets: The Underground Playbook for Filling Your Websites and Funnels with Your Dream Customers</a></li><li><a href="https://www.amazon.com/Range-David-Epstein-audiobook/dp/B07N6MPWLS/ref=tmm_aud_swatch_0?_encoding=UTF8&amp;qid=1593790528&amp;sr=8-2" target="_blank" rel="noreferrer noopener">Range: Why Generalists Triumph in a Specialized World</a></li></ul>  Gant Laborde:  <ul><li><a href="https://bit.ly/aiquickstart" target="_blank" rel="noreferrer noopener">AI-QuickStartGuide.pdf</a></li></ul>  Daniel Svoboda:  <ul><li>Star Trek: Picard</li></ul>  Follow Adventures in Machine Learning on Twitter &gt; <a href="https://twitter.com/podcast_ml" target="_blank" rel="noreferrer noopener">@podcast_ml</a><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">97767958-87a1-4fe5-8841-516257dedf17</guid><pubDate>Tue, 15 Sep 2020 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842228/stream.mp3" length="68855147" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>One of the hottest fields right now in machine learning is natural language processing. Whether it’s getting sentiment from tweets, summarizing your documents, sarcasm detection, or predicting stock trends from the news, NLP is definitely the wave of...</itunes:subtitle><itunes:summary><![CDATA[One of the hottest fields right now in machine learning is natural language processing. Whether it’s getting sentiment from tweets, summarizing your documents, sarcasm detection, or predicting stock trends from the news, NLP is definitely the wave of the future. Special guest Daniel Svoboda talks about transfer learning and the latest developments such as BERT that promises to revolutionize NLP even further.  Sponsors  <ul><li><a href="https://devchat.tv/learnML" target="_blank" rel="noreferrer noopener">Machine Learning for Software Engineers by Educative.io</a></li><li><a href="http://www.audibletrack.com/click.track?ADID=454213&amp;AFID=475401&amp;CID=102175&amp;SID=%26%2339%3B%26gt%3B" target="_blank" rel="noreferrer noopener">Audible.com</a></li><li><a href="https://www.cachefly.com/" target="_blank" rel="noreferrer noopener">CacheFly</a></li></ul>  Panel  <ul><li>Charles Max Wood</li><li>Gant Laborde</li></ul>  Guest  <ul><li>Daniel Svoboda</li></ul>  Links  <ul><li><a href="https://towardsdatascience.com/bert-explained-state-of-the-art-language-model-for-nlp-f8b21a9b6270" target="_blank" rel="noreferrer noopener">towardsdatascience.com/bert-explained-state-of-the-art-language-model-for-nlp</a></li><li><a href="https://ai.googleblog.com/2018/11/open-sourcing-bert-state-of-art-pre.html" target="_blank" rel="noreferrer noopener">ai.googleblog.com/2018/11/open-sourcing-bert-state-of-art-pre.html</a></li><li><a href="https://ai.googleblog.com/2017/08/transformer-novel-neural-network.html" target="_blank" rel="noreferrer noopener">ai.googleblog.com/2017/08/transformer-novel-neural-network.html</a></li><li><a href="https://www.nltk.org/" target="_blank" rel="noreferrer noopener">www.nltk.org</a></li><li><a href="https://spacy.io/" target="_blank" rel="noreferrer noopener">spacy.io</a></li><li><a href="https://www.kaggle.com/" target="_blank" rel="noreferrer noopener">https://www.kaggle.com</a></li><li> </li></ul>  Picks  Charles Max Wood:  <ul><li><a href="https://www.amazon.com/Traffic-Secrets-Underground-Playbook-Customers/dp/B08B9XH6KH/ref=tmm_aud_swatch_0?_encoding=UTF8&amp;qid=&amp;sr=For+You" target="_blank" rel="noreferrer noopener">Traffic Secrets: The Underground Playbook for Filling Your Websites and Funnels with Your Dream Customers</a></li><li><a href="https://www.amazon.com/Range-David-Epstein-audiobook/dp/B07N6MPWLS/ref=tmm_aud_swatch_0?_encoding=UTF8&amp;qid=1593790528&amp;sr=8-2" target="_blank" rel="noreferrer noopener">Range: Why Generalists Triumph in a Specialized World</a></li></ul>  Gant Laborde:  <ul><li><a href="https://bit.ly/aiquickstart" target="_blank" rel="noreferrer noopener">AI-QuickStartGuide.pdf</a></li></ul>  Daniel Svoboda:  <ul><li>Star Trek: Picard</li></ul>  Follow Adventures in Machine Learning on Twitter &gt; <a href="https://twitter.com/podcast_ml" target="_blank" rel="noreferrer noopener">@podcast_ml</a><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3253</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>ML 004: Automated Machine Learning ML with Jorge Torres</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/ml-004-automated-machine-learning-ml-with-jorge-torres</link><description><![CDATA[Implementing deep learning algorithms require knowledge of various DL libraries, how to interface outside files or streaming data to it, along with tuning all sorts of parameters. Deep Learning also does not give you much explanation on what features contribute to a model working well. Jorge Torres discusses MindsDB, a new framework for AutoML that simplifies implementation of neural network models for researchers, along with providing explanation of features.  Sponsors  <ul><li><a href="https://devchat.tv/learnML" target="_blank" rel="noreferrer noopener">Machine Learning for Software Engineers by Educative.io</a></li><li><a href="https://www.cachefly.com/" target="_blank" rel="noreferrer noopener">CacheFly</a></li></ul>  Panel  <ul><li>Charles Max Wood</li><li>Gant Laborde</li></ul>  Guest  <ul><li>Jorge Torres</li></ul>  Links  <ul><li><a href="https://www.mindsdb.com/" target="_blank" rel="noreferrer noopener">www.mindsdb.com</a></li><li><a href="https://pytorch.org/" target="_blank" rel="noreferrer noopener">pytorch.org</a></li><li><a href="https://www.tensorflow.org/" target="_blank" rel="noreferrer noopener">tensorflow.org</a></li><li><a href="https://www.geeksforgeeks.org/confusion-matrix-machine-learning/" target="_blank" rel="noreferrer noopener">www.geeksforgeeks.org/confusion-matrix-machine-learning</a></li><li><a href="https://www.pyimagesearch.com/2020/02/17/autoencoders-with-keras-tensorflow-and-deep-learning/" target="_blank" rel="noreferrer noopener">www.pyimagesearch.com/2020/02/17/autoencoders-with-keras-tensorflow-and-deep-learning</a></li><li><a href="https://www.kiwibot.com/" target="_blank" rel="noreferrer noopener">https://www.kiwibot.com/</a></li></ul>  Picks  Gant Laborde:  <ul><li><a href="https://www.nvidia.com/en-us/geforce/guides/nvidia-rtx-voice-setup-guide/" target="_blank" rel="noreferrer noopener">NVIDIA RTX Voice: Setup Guide</a></li></ul>  Charles Max Wood:  <ul><li>Russell Brunson’s books</li></ul>  Jorge Torres:  <ul><li><a href="https://amzn.to/2LSzKGk" target="_blank" rel="noreferrer noopener">Iain M. Banks, Author on Amazon</a></li><li><a href="https://krisp.ai/" target="_blank" rel="noreferrer noopener">krisp.ai</a></li></ul>  Follow Adventures in Machine Learning on Twitter &gt; <a href="https://twitter.com/podcast_ml" target="_blank" rel="noreferrer noopener">@podcast_ml</a><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">e07aa81d-d237-4a06-affa-60c3b4dbf59f</guid><pubDate>Fri, 11 Sep 2020 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842246/stream.mp3" length="66022955" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Implementing deep learning algorithms require knowledge of various DL libraries, how to interface outside files or streaming data to it, along with tuning all sorts of parameters. Deep Learning also does not give you much explanation on what features...</itunes:subtitle><itunes:summary><![CDATA[Implementing deep learning algorithms require knowledge of various DL libraries, how to interface outside files or streaming data to it, along with tuning all sorts of parameters. Deep Learning also does not give you much explanation on what features contribute to a model working well. Jorge Torres discusses MindsDB, a new framework for AutoML that simplifies implementation of neural network models for researchers, along with providing explanation of features.  Sponsors  <ul><li><a href="https://devchat.tv/learnML" target="_blank" rel="noreferrer noopener">Machine Learning for Software Engineers by Educative.io</a></li><li><a href="https://www.cachefly.com/" target="_blank" rel="noreferrer noopener">CacheFly</a></li></ul>  Panel  <ul><li>Charles Max Wood</li><li>Gant Laborde</li></ul>  Guest  <ul><li>Jorge Torres</li></ul>  Links  <ul><li><a href="https://www.mindsdb.com/" target="_blank" rel="noreferrer noopener">www.mindsdb.com</a></li><li><a href="https://pytorch.org/" target="_blank" rel="noreferrer noopener">pytorch.org</a></li><li><a href="https://www.tensorflow.org/" target="_blank" rel="noreferrer noopener">tensorflow.org</a></li><li><a href="https://www.geeksforgeeks.org/confusion-matrix-machine-learning/" target="_blank" rel="noreferrer noopener">www.geeksforgeeks.org/confusion-matrix-machine-learning</a></li><li><a href="https://www.pyimagesearch.com/2020/02/17/autoencoders-with-keras-tensorflow-and-deep-learning/" target="_blank" rel="noreferrer noopener">www.pyimagesearch.com/2020/02/17/autoencoders-with-keras-tensorflow-and-deep-learning</a></li><li><a href="https://www.kiwibot.com/" target="_blank" rel="noreferrer noopener">https://www.kiwibot.com/</a></li></ul>  Picks  Gant Laborde:  <ul><li><a href="https://www.nvidia.com/en-us/geforce/guides/nvidia-rtx-voice-setup-guide/" target="_blank" rel="noreferrer noopener">NVIDIA RTX Voice: Setup Guide</a></li></ul>  Charles Max Wood:  <ul><li>Russell Brunson’s books</li></ul>  Jorge Torres:  <ul><li><a href="https://amzn.to/2LSzKGk" target="_blank" rel="noreferrer noopener">Iain M. Banks, Author on Amazon</a></li><li><a href="https://krisp.ai/" target="_blank" rel="noreferrer noopener">krisp.ai</a></li></ul>  Follow Adventures in Machine Learning on Twitter &gt; <a href="https://twitter.com/podcast_ml" target="_blank" rel="noreferrer noopener">@podcast_ml</a><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3112</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>ML 003: Your GPU Brain with Robert Plummer</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/ml-003-your-gpu-brain-with-robert-plummer</link><description><![CDATA[Machine learning is a complex subject that requires knowledge in many various subjects such as linear algebra, probability, algorithms, calculus, etc. But what if you could simplify machine learning to the extent that a child would be able to grasp it? Robert Plummer discusses incorporating machine learning for Javascript and opens up a whole new paradigm.  Sponsors  <ul><li><a href="https://devchat.tv/learnML" target="_blank" rel="noreferrer noopener">Machine Learning for Software Engineers by Educative.io</a></li><li><a href="https://www.cachefly.com/" target="_blank" rel="noreferrer noopener">CacheFly</a></li></ul>  Panel  <ul><li>Charles Max Wood</li><li>Gant Laborde</li><li>Eric Chalmers</li></ul>  Guest  <ul><li>Robert Plummer</li></ul>  Links  <ul><li><a href="https://medium.com/swlh/javascript-for-machine-learning-get-a-real-language-628000886683" target="_blank" rel="noreferrer noopener">Javascript for machine learning? Get a real language</a></li><li><a href="https://www.learnwithjason.dev/" target="_blank" rel="noreferrer noopener">www.learnwithjason.dev</a></li><li><a href="https://maxcoders.io/" target="_blank" rel="noreferrer noopener">maxcoders.io</a></li></ul>  Picks  Eric Chalmers:  <ul><li><a href="https://www.fast.ai/2019/09/24/metrics/" target="_blank" rel="noreferrer noopener">The problem with metrics is a big problem for AI</a></li></ul>  Gant Laborde:  <ul><li><a href="https://gantlaborde.com/event/learn-with-jason/" target="_blank" rel="noreferrer noopener">Spooky Fun with Race Recognition</a></li></ul>  Charles Max Wood:  <ul><li><a href="https://www.amazon.com/gp/product/B081MBL5C9/ref=as_li_ss_tl?ie=UTF8&amp;language=en_US&amp;linkCode=sl1&amp;linkId=9d61363241636e2546ef46abba198746&amp;tag=devchattv-20" target="_blank" rel="noreferrer noopener">The MaxCoders Guide To Finding Your Dream Developer Job</a></li></ul>  Robert Plummer:  <ul><li>Abstract: The Art of Design | Netflix</li></ul>  Follow Adventures in Machine Learning on Twitter &gt; <a href="https://twitter.com/podcast_ml" target="_blank" rel="noreferrer noopener">@podcast_ml</a><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">ef2401b0-2060-4d6c-b7e5-1d39f6c462ae</guid><pubDate>Thu, 10 Sep 2020 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842241/stream.mp3" length="59682488" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>Machine learning is a complex subject that requires knowledge in many various subjects such as linear algebra, probability, algorithms, calculus, etc. But what if you could simplify machine learning to the extent that a child would be able to grasp...</itunes:subtitle><itunes:summary><![CDATA[Machine learning is a complex subject that requires knowledge in many various subjects such as linear algebra, probability, algorithms, calculus, etc. But what if you could simplify machine learning to the extent that a child would be able to grasp it? Robert Plummer discusses incorporating machine learning for Javascript and opens up a whole new paradigm.  Sponsors  <ul><li><a href="https://devchat.tv/learnML" target="_blank" rel="noreferrer noopener">Machine Learning for Software Engineers by Educative.io</a></li><li><a href="https://www.cachefly.com/" target="_blank" rel="noreferrer noopener">CacheFly</a></li></ul>  Panel  <ul><li>Charles Max Wood</li><li>Gant Laborde</li><li>Eric Chalmers</li></ul>  Guest  <ul><li>Robert Plummer</li></ul>  Links  <ul><li><a href="https://medium.com/swlh/javascript-for-machine-learning-get-a-real-language-628000886683" target="_blank" rel="noreferrer noopener">Javascript for machine learning? Get a real language</a></li><li><a href="https://www.learnwithjason.dev/" target="_blank" rel="noreferrer noopener">www.learnwithjason.dev</a></li><li><a href="https://maxcoders.io/" target="_blank" rel="noreferrer noopener">maxcoders.io</a></li></ul>  Picks  Eric Chalmers:  <ul><li><a href="https://www.fast.ai/2019/09/24/metrics/" target="_blank" rel="noreferrer noopener">The problem with metrics is a big problem for AI</a></li></ul>  Gant Laborde:  <ul><li><a href="https://gantlaborde.com/event/learn-with-jason/" target="_blank" rel="noreferrer noopener">Spooky Fun with Race Recognition</a></li></ul>  Charles Max Wood:  <ul><li><a href="https://www.amazon.com/gp/product/B081MBL5C9/ref=as_li_ss_tl?ie=UTF8&amp;language=en_US&amp;linkCode=sl1&amp;linkId=9d61363241636e2546ef46abba198746&amp;tag=devchattv-20" target="_blank" rel="noreferrer noopener">The MaxCoders Guide To Finding Your Dream Developer Job</a></li></ul>  Robert Plummer:  <ul><li>Abstract: The Art of Design | Netflix</li></ul>  Follow Adventures in Machine Learning on Twitter &gt; <a href="https://twitter.com/podcast_ml" target="_blank" rel="noreferrer noopener">@podcast_ml</a><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>2795</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>ML 002: DeOldify Your Life with Jason Antic</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/ml-002-deoldify-your-life-with-jason-antic</link><description><![CDATA[GANS are one of the revolutionary breakthroughs in machine/deep learning as they are able to create authentic facial images. One of the latest breakthroughs has been with reconstructing actual images of the Roman Emperors using their busts and frescos. Special guest Jason Antic talks about GANs and his work with deOldify, an application to color and restore images.  Sponsor  <ul><li><a href="https://devchat.tv/learnML" target="_blank" rel="noreferrer noopener">Machine Learning for Software Engineers by Educative.io</a></li><li><a href="https://www.cachefly.com/" target="_blank" rel="noreferrer noopener">CacheFly</a></li></ul>  Panel  <ul><li>Charles Max Wood</li><li>Gant Laborde</li><li>Eric Chalmers</li></ul>  Guest  <ul><li>Jason Antic</li></ul>  Links  <ul><li><a href="https://www.fast.ai/" target="_blank" rel="noreferrer noopener">fast.ai</a></li><li><a href="https://www.youtube.com/watch?v=l3UXXid04Ys" target="_blank" rel="noreferrer noopener">DeOldify Facebook F8 Movie Colorization Demo</a></li><li><a href="https://www.tensorflow.org/tensorboard" target="_blank" rel="noreferrer noopener">TensorBoard: TensorFlow’s visualization toolkit</a></li><li><a href="https://pytorch.org/" target="_blank" rel="noreferrer noopener">pytorch.org</a></li></ul>  Picks  Eric Chalmers:  <ul><li><a href="https://www.amazon.com/Untethered-Soul-Journey-Beyond-Yourself/dp/1572245379" target="_blank" rel="noreferrer noopener">The Untethered Soul: The Journey Beyond Yourself</a></li></ul>  Gant Laborde:  <ul><li><a href="https://www.amazon.com/Building-Machine-Learning-Models-Platform/dp/1484244699" target="_blank" rel="noreferrer noopener">Building Machine Learning and Deep Learning Models on Google Cloud Platform: A Comprehensive Guide for Beginners</a></li></ul>  Charles Max Wood:  <ul><li><a href="https://www.amazon.com/360-Degree-Leader-Developing-Organization/dp/1400203597" target="_blank" rel="noreferrer noopener">The 360 Degree Leader: Developing Your Influence from Anywhere in the Organization</a></li></ul>  Jason Antic:  <ul><li>TV Show: Adam Ruins Everything</li></ul>  Follow Adventures in Machine Learning on Twitter &gt; <a href="https://twitter.com/podcast_ml" target="_blank" rel="noreferrer noopener">@podcast_ml</a><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">b83a4609-d556-463b-a06f-3333f68b9a85</guid><pubDate>Wed, 09 Sep 2020 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842250/stream.mp3" length="82595013" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>GANS are one of the revolutionary breakthroughs in machine/deep learning as they are able to create authentic facial images. One of the latest breakthroughs has been with reconstructing actual images of the Roman Emperors using their busts and...</itunes:subtitle><itunes:summary><![CDATA[GANS are one of the revolutionary breakthroughs in machine/deep learning as they are able to create authentic facial images. One of the latest breakthroughs has been with reconstructing actual images of the Roman Emperors using their busts and frescos. Special guest Jason Antic talks about GANs and his work with deOldify, an application to color and restore images.  Sponsor  <ul><li><a href="https://devchat.tv/learnML" target="_blank" rel="noreferrer noopener">Machine Learning for Software Engineers by Educative.io</a></li><li><a href="https://www.cachefly.com/" target="_blank" rel="noreferrer noopener">CacheFly</a></li></ul>  Panel  <ul><li>Charles Max Wood</li><li>Gant Laborde</li><li>Eric Chalmers</li></ul>  Guest  <ul><li>Jason Antic</li></ul>  Links  <ul><li><a href="https://www.fast.ai/" target="_blank" rel="noreferrer noopener">fast.ai</a></li><li><a href="https://www.youtube.com/watch?v=l3UXXid04Ys" target="_blank" rel="noreferrer noopener">DeOldify Facebook F8 Movie Colorization Demo</a></li><li><a href="https://www.tensorflow.org/tensorboard" target="_blank" rel="noreferrer noopener">TensorBoard: TensorFlow’s visualization toolkit</a></li><li><a href="https://pytorch.org/" target="_blank" rel="noreferrer noopener">pytorch.org</a></li></ul>  Picks  Eric Chalmers:  <ul><li><a href="https://www.amazon.com/Untethered-Soul-Journey-Beyond-Yourself/dp/1572245379" target="_blank" rel="noreferrer noopener">The Untethered Soul: The Journey Beyond Yourself</a></li></ul>  Gant Laborde:  <ul><li><a href="https://www.amazon.com/Building-Machine-Learning-Models-Platform/dp/1484244699" target="_blank" rel="noreferrer noopener">Building Machine Learning and Deep Learning Models on Google Cloud Platform: A Comprehensive Guide for Beginners</a></li></ul>  Charles Max Wood:  <ul><li><a href="https://www.amazon.com/360-Degree-Leader-Developing-Organization/dp/1400203597" target="_blank" rel="noreferrer noopener">The 360 Degree Leader: Developing Your Influence from Anywhere in the Organization</a></li></ul>  Jason Antic:  <ul><li>TV Show: Adam Ruins Everything</li></ul>  Follow Adventures in Machine Learning on Twitter &gt; <a href="https://twitter.com/podcast_ml" target="_blank" rel="noreferrer noopener">@podcast_ml</a><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>3940</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>ML 001: The Adventures in Machine Learning First Steps</title><link>https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/ml-001-the-adventures-in-machine-learning-first-steps</link><description><![CDATA[In this first episode of Adventures in Machine Learning the panel talks about what machine learning is and what the podcast is about. Machine learning is rapidly becoming the future for many industries like banking, telecommunications, advertisements, etc. Yet there are so many subjects involved with it that novices may find it intimidating to get into, let alone start with.  Sponsor  <ul><li><a href="https://devchat.tv/learnML" target="_blank" rel="noreferrer noopener">Machine Learning for Software Engineers by Educative.io</a></li><li><a href="https://www.cachefly.com/" target="_blank" rel="noreferrer noopener">CacheFly</a></li></ul>  Panel  <ul><li>Charles Max Wood</li><li>Gant Laborde</li><li>Eric Chalmers</li></ul>  Links  <ul><li><a href="https://www.freecodecamp.org/news/we-fired-our-top-talent-best-decision-we-ever-made-4c0a99728fde/" target="_blank" rel="noreferrer noopener">We fired our top talent. Best decision we ever made</a></li><li><a href="https://www.coursera.org/learn/machine-learning" target="_blank" rel="noreferrer noopener">https://www.coursera.org/learn/machine-learning</a></li></ul>  Picks  Eric Chalmers:  <ul><li><a href="https://rodneybrooks.com/" target="_blank" rel="noreferrer noopener">Rodney Brooks: Robots, AI, and other stuff</a></li></ul>  Gant Laborde:  <ul><li><a href="https://academy.infinite.red/" target="_blank" rel="noreferrer noopener">Beginning Machine Learning with TensorFlow.js</a></li></ul>  Charles Max Wood:  <ul><li><a href="https://devchat.tv/podcasts/dev-rev/" target="_blank" rel="noreferrer noopener">The Dev Rev</a></li></ul>  Follow Adventures in Machine Learning on Twitter &gt; <a href="https://twitter.com/devchattv" target="_blank" rel="noreferrer noopener">@DevChatTV</a><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></description><guid isPermaLink="false">720cf4be-5e46-4f6d-b918-43f28c464e29</guid><pubDate>Tue, 08 Sep 2020 10:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842206/stream.mp3" length="34932136" type="audio/mpeg"/><itunes:author>Charles M Wood</itunes:author><itunes:subtitle>In this first episode of Adventures in Machine Learning the panel talks about what machine learning is and what the podcast is about. Machine learning is rapidly becoming the future for many industries like banking, telecommunications, advertisements,...</itunes:subtitle><itunes:summary><![CDATA[In this first episode of Adventures in Machine Learning the panel talks about what machine learning is and what the podcast is about. Machine learning is rapidly becoming the future for many industries like banking, telecommunications, advertisements, etc. Yet there are so many subjects involved with it that novices may find it intimidating to get into, let alone start with.  Sponsor  <ul><li><a href="https://devchat.tv/learnML" target="_blank" rel="noreferrer noopener">Machine Learning for Software Engineers by Educative.io</a></li><li><a href="https://www.cachefly.com/" target="_blank" rel="noreferrer noopener">CacheFly</a></li></ul>  Panel  <ul><li>Charles Max Wood</li><li>Gant Laborde</li><li>Eric Chalmers</li></ul>  Links  <ul><li><a href="https://www.freecodecamp.org/news/we-fired-our-top-talent-best-decision-we-ever-made-4c0a99728fde/" target="_blank" rel="noreferrer noopener">We fired our top talent. Best decision we ever made</a></li><li><a href="https://www.coursera.org/learn/machine-learning" target="_blank" rel="noreferrer noopener">https://www.coursera.org/learn/machine-learning</a></li></ul>  Picks  Eric Chalmers:  <ul><li><a href="https://rodneybrooks.com/" target="_blank" rel="noreferrer noopener">Rodney Brooks: Robots, AI, and other stuff</a></li></ul>  Gant Laborde:  <ul><li><a href="https://academy.infinite.red/" target="_blank" rel="noreferrer noopener">Beginning Machine Learning with TensorFlow.js</a></li></ul>  Charles Max Wood:  <ul><li><a href="https://devchat.tv/podcasts/dev-rev/" target="_blank" rel="noreferrer noopener">The Dev Rev</a></li></ul>  Follow Adventures in Machine Learning on Twitter &gt; <a href="https://twitter.com/devchattv" target="_blank" rel="noreferrer noopener">@DevChatTV</a><br /><br />Advertising Inquiries: <a href="https://redcircle.com/brands" target="_blank" rel="noreferrer noopener">https://redcircle.com/brands</a><br /><br />Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" target="_blank" rel="noreferrer noopener">https://redcircle.com/privacy</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support</a>.]]></itunes:summary><itunes:duration>1557</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg"/><itunes:episodeType>full</itunes:episodeType></item></channel></rss>
