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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>The Data Science - Gradient Descent</title><link>https://www.spreaker.com/podcast/the-data-science-gradient-descent--7275539</link><description><![CDATA[Where raw data meets algorithmic reality. Gradient Descent is the essential listen for the modern data scientist, ML engineer, and quant. This isn't Statistics 101; this is the application. We dive into the probabilistic models that power AI, explore Bayesian inference for real-time decision making, and debate the ethics of algorithmic bias. With a mix of solo deep-dives and interviews with industry quants, we focus on the code, the distributions, and the edge cases that break the system. If you live in Python and breathe confidence intervals, this is your new favorite feed.]]></description><atom:link href="https://www.spreaker.com/show/7275539/episodes/feed" rel="self" type="application/rss+xml"/><language>en</language><category>Fashion &amp; Beauty</category><copyright>Copyright Marthinusbaloyi</copyright><image><url>https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/yellow_square_mic.jpg</url><title>The Data Science - Gradient Descent</title><link>https://www.spreaker.com/podcast/the-data-science-gradient-descent--7275539</link></image><lastBuildDate>Thu, 20 Aug 2026 22:42:56 +0000</lastBuildDate><itunes:author>Marthinusbaloyi</itunes:author><itunes:owner><itunes:name>Marthinusbaloyi</itunes:name><itunes:email>feeds@spreaker.com</itunes:email></itunes:owner><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/yellow_square_mic.jpg"/><itunes:subtitle>Where raw data meets algorithmic reality. Gradient Descent is the essential listen for the modern data scientist, ML engineer, and quant. This isn't Statistics 101; this is the application. We dive into the probabilistic models that power AI, explore...</itunes:subtitle><itunes:summary><![CDATA[Where raw data meets algorithmic reality. Gradient Descent is the essential listen for the modern data scientist, ML engineer, and quant. This isn't Statistics 101; this is the application. We dive into the probabilistic models that power AI, explore Bayesian inference for real-time decision making, and debate the ethics of algorithmic bias. With a mix of solo deep-dives and interviews with industry quants, we focus on the code, the distributions, and the edge cases that break the system. If you live in Python and breathe confidence intervals, this is your new favorite feed.]]></itunes:summary><itunes:category text="Arts"><itunes:category text="Fashion &amp; Beauty"/></itunes:category><itunes:explicit>false</itunes:explicit><podcast:guid>ea78dc69-a546-5bf1-9773-8572d1a3b87f</podcast:guid><itunes:type>episodic</itunes:type><item><title>Gradient Descent in Linear Regression</title><link>https://www.spreaker.com/episode/gradient-descent-in-linear-regression--74421974</link><description><![CDATA[See gradient descent in action through linear regression. Learn how a model adjusts its parameters step by step to reduce prediction error and find a better fit.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/74421974</guid><pubDate>Thu, 20 Aug 2026 22:39:01 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/74421974/statistics_module_2_crosstabulations_problem_2_3b_uo5oopucx0_2.mp3" length="16858103" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/e3b2f1f8-eb74-4cbb-982b-03c740d7d7c7/e3b2f1f8-eb74-4cbb-982b-03c740d7d7c7.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/e3b2f1f8-eb74-4cbb-982b-03c740d7d7c7/e3b2f1f8-eb74-4cbb-982b-03c740d7d7c7.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/e3b2f1f8-eb74-4cbb-982b-03c740d7d7c7/e3b2f1f8-eb74-4cbb-982b-03c740d7d7c7.vtt" type="text/vtt" language="en"/><itunes:author>Marthinusbaloyi</itunes:author><itunes:subtitle>See gradient descent in action through linear regression. Learn how a model adjusts its parameters step by step to reduce prediction error and find a better fit.</itunes:subtitle><itunes:summary><![CDATA[See gradient descent in action through linear regression. Learn how a model adjusts its parameters step by step to reduce prediction error and find a better fit.]]></itunes:summary><itunes:duration>1054</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/yellow_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Batch, Stochastic, and Mini-Batch Gradient Descent</title><link>https://www.spreaker.com/episode/batch-stochastic-and-mini-batch-gradient-descent--74421975</link><description><![CDATA[Not all gradient descent methods learn the same way. Compare batch, stochastic, and mini-batch gradient descent and understand when each approach is most useful.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/74421975</guid><pubDate>Thu, 20 Aug 2026 22:38:40 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/74421975/statistics_module_2_crosstabulations_problem_2_3b_uo5oopucx0.mp3" length="33714815" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/b460298f-7a0d-404b-8fff-e41e2d26b227/b460298f-7a0d-404b-8fff-e41e2d26b227.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/b460298f-7a0d-404b-8fff-e41e2d26b227/b460298f-7a0d-404b-8fff-e41e2d26b227.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/b460298f-7a0d-404b-8fff-e41e2d26b227/b460298f-7a0d-404b-8fff-e41e2d26b227.vtt" type="text/vtt" language="en"/><itunes:author>Marthinusbaloyi</itunes:author><itunes:subtitle>Not all gradient descent methods learn the same way. Compare batch, stochastic, and mini-batch gradient descent and understand when each approach is most useful.</itunes:subtitle><itunes:summary><![CDATA[Not all gradient descent methods learn the same way. Compare batch, stochastic, and mini-batch gradient descent and understand when each approach is most useful.]]></itunes:summary><itunes:duration>2108</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/yellow_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Learning Rate: Taking the Right Step</title><link>https://www.spreaker.com/episode/learning-rate-taking-the-right-step--74421976</link><description><![CDATA[The learning rate determines how quickly a model learns. Discover what happens when the learning rate is too large, too small, or just right.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/74421976</guid><pubDate>Thu, 20 Aug 2026 22:38:17 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/74421976/statistics_module_1_types_of_data_and_measurement_scales_problem_1_1c_fdb9_ybli0u_2.mp3" length="27612629" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/ffe88a6e-2a8e-4ddd-ab8d-63363f85cb07/ffe88a6e-2a8e-4ddd-ab8d-63363f85cb07.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/ffe88a6e-2a8e-4ddd-ab8d-63363f85cb07/ffe88a6e-2a8e-4ddd-ab8d-63363f85cb07.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/ffe88a6e-2a8e-4ddd-ab8d-63363f85cb07/ffe88a6e-2a8e-4ddd-ab8d-63363f85cb07.vtt" type="text/vtt" language="en"/><itunes:author>Marthinusbaloyi</itunes:author><itunes:subtitle>The learning rate determines how quickly a model learns. Discover what happens when the learning rate is too large, too small, or just right.</itunes:subtitle><itunes:summary><![CDATA[The learning rate determines how quickly a model learns. Discover what happens when the learning rate is too large, too small, or just right.]]></itunes:summary><itunes:duration>1726</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/yellow_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>The Mathematics Behind Gradient Descent</title><link>https://www.spreaker.com/episode/the-mathematics-behind-gradient-descent--74421977</link><description><![CDATA[Explore the mathematical foundation of gradient descent, including cost functions, derivatives, gradients, and how these concepts guide a model toward better solutions.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/74421977</guid><pubDate>Thu, 20 Aug 2026 22:37:59 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/74421977/statistics_module_2_bar_graphs_and_line_graphs_problem_2_2b_6zyzccs5i5m.mp3" length="26149346" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/47bdbbb2-b978-48a4-a3bf-9d65de261caa/47bdbbb2-b978-48a4-a3bf-9d65de261caa.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/47bdbbb2-b978-48a4-a3bf-9d65de261caa/47bdbbb2-b978-48a4-a3bf-9d65de261caa.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/47bdbbb2-b978-48a4-a3bf-9d65de261caa/47bdbbb2-b978-48a4-a3bf-9d65de261caa.vtt" type="text/vtt" language="en"/><itunes:author>Marthinusbaloyi</itunes:author><itunes:subtitle>Explore the mathematical foundation of gradient descent, including cost functions, derivatives, gradients, and how these concepts guide a model toward better solutions.</itunes:subtitle><itunes:summary><![CDATA[Explore the mathematical foundation of gradient descent, including cost functions, derivatives, gradients, and how these concepts guide a model toward better solutions.]]></itunes:summary><itunes:duration>1635</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/yellow_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>What Is Gradient Descent?</title><link>https://www.spreaker.com/episode/what-is-gradient-descent--74421978</link><description><![CDATA[What is gradient descent, and why is it so important in machine learning? This episode introduces the core concept and explains how algorithms use it to minimize errors and improve predictions.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/74421978</guid><pubDate>Thu, 20 Aug 2026 22:37:38 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/74421978/statistics_module_2_bar_graphs_and_line_graphs_problem_2_2b_6zyzccs5i5m_2.mp3" length="27875517" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/dbe45c59-1083-4b2c-b305-6d52e886169b/dbe45c59-1083-4b2c-b305-6d52e886169b.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/dbe45c59-1083-4b2c-b305-6d52e886169b/dbe45c59-1083-4b2c-b305-6d52e886169b.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/dbe45c59-1083-4b2c-b305-6d52e886169b/dbe45c59-1083-4b2c-b305-6d52e886169b.vtt" type="text/vtt" language="en"/><itunes:author>Marthinusbaloyi</itunes:author><itunes:subtitle>What is gradient descent, and why is it so important in machine learning? This episode introduces the core concept and explains how algorithms use it to minimize errors and improve predictions.</itunes:subtitle><itunes:summary><![CDATA[What is gradient descent, and why is it so important in machine learning? This episode introduces the core concept and explains how algorithms use it to minimize errors and improve predictions.]]></itunes:summary><itunes:duration>1743</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/yellow_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>What Fashion Really Says About Us</title><link>https://www.spreaker.com/episode/what-fashion-really-says-about-us--74250292</link><description><![CDATA[Fashion is more than clothes. It can reflect identity, culture, confidence, and social change. In this episode, we explore what our style choices reveal about who we are and how we want to be seen.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/74250292</guid><pubDate>Sat, 24 Sep 2016 07:45:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/74250292/stop_dressing_for_the_algorithm.mp3" length="18387833" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/0fe16c66-8439-486c-8e94-12a100a77fbf/0fe16c66-8439-486c-8e94-12a100a77fbf.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/0fe16c66-8439-486c-8e94-12a100a77fbf/0fe16c66-8439-486c-8e94-12a100a77fbf.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/0fe16c66-8439-486c-8e94-12a100a77fbf/0fe16c66-8439-486c-8e94-12a100a77fbf.vtt" type="text/vtt" language="en"/><itunes:author>Marthinusbaloyi</itunes:author><itunes:subtitle>Fashion is more than clothes. It can reflect identity, culture, confidence, and social change. In this episode, we explore what our style choices reveal about who we are and how we want to be seen.</itunes:subtitle><itunes:summary><![CDATA[Fashion is more than clothes. It can reflect identity, culture, confidence, and social change. In this episode, we explore what our style choices reveal about who we are and how we want to be seen.]]></itunes:summary><itunes:duration>1150</itunes:duration><itunes:keywords>beauty,fashion</itunes:keywords><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/yellow_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>The Truth About Fast Fashion</title><link>https://www.spreaker.com/episode/the-truth-about-fast-fashion--74250293</link><description><![CDATA[Cheap trends come with hidden costs. We take an honest look at fast fashion, from its impact on workers and the environment to why consumers continue to embrace the trend cycle.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/74250293</guid><pubDate>Thu, 10 Jul 2014 01:25:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/74250293/how_social_media_killed_your_personal_style.mp3" length="18411239" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/d0c87ed1-8216-43c3-b1f2-a5277d814203/d0c87ed1-8216-43c3-b1f2-a5277d814203.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/d0c87ed1-8216-43c3-b1f2-a5277d814203/d0c87ed1-8216-43c3-b1f2-a5277d814203.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/d0c87ed1-8216-43c3-b1f2-a5277d814203/d0c87ed1-8216-43c3-b1f2-a5277d814203.vtt" type="text/vtt" language="en"/><itunes:author>Marthinusbaloyi</itunes:author><itunes:subtitle>Cheap trends come with hidden costs. We take an honest look at fast fashion, from its impact on workers and the environment to why consumers continue to embrace the trend cycle.</itunes:subtitle><itunes:summary><![CDATA[Cheap trends come with hidden costs. We take an honest look at fast fashion, from its impact on workers and the environment to why consumers continue to embrace the trend cycle.]]></itunes:summary><itunes:duration>1151</itunes:duration><itunes:keywords>beauty,fashion</itunes:keywords><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/yellow_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item></channel></rss>
