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Adventures in Machine Learning

  • The Impact of AI Tools on Software Development and Quality Assurance - ML 130

    2 MAY 2024 · Matt Van Itallie is the Founder & 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. 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. Sponsors - https://topenddevs.com/resume - https://topenddevs.com/book-club - https://topenddevs.com/sign_up Socials - https://www.linkedin.com/in/mvi/
    1h 13m 30s
  • Adaptive Industry ML: Challenges, Automation, and Model Applications - ML 149

    18 APR 2024 · 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! Sponsors - https://topenddevs.com/resume - https://topenddevs.com/book-club - https://topenddevs.com/sign_up Socials - https://www.linkedin.com/in/terry-j-rodriguez/
    1h 6m 37s
  • Harnessing Open Source Contributions in Machine Learning and Quantization - ML 148

    18 APR 2024 · 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. Sponsors - https://topenddevs.com/resume - https://topenddevs.com/book-club - https://topenddevs.com/sign_up Socials - https://www.linkedin.com/in/lgeiger/
    1h 16m 8s
  • Data Platform Innovation: Navigating Challenges and Building a Unified Experience - ML 147

    11 APR 2024 · 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. Sponsors - https://topenddevs.com/resume - https://topenddevs.com/book-club - https://topenddevs.com/sign_up Socials - https://www.linkedin.com/in/schrockn/
    1h 6m 24s
  • The Science-Engineering Blend - ML 146

    4 APR 2024 · 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! Sponsors - https://topenddevs.com/resume - https://topenddevs.com/book-club - https://topenddevs.com/sign_up
    51m 48s
  • The Impact of Process on Successful Tech Companies - ML 145

    28 MAR 2024 · 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. Sponsors - https://topenddevs.com/resume - https://topenddevs.com/book-club - https://topenddevs.com/sign_up
    1h 5m 40s
  • Delivering Scoped Solutions: Lessons in Fixing Production System Issues - ML 144

    21 MAR 2024 · 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. Sponsors - https://topenddevs.com/resume - https://topenddevs.com/book-club - https://topenddevs.com/sign_up
    38m 11s
  • MLOps 101: Scoping, Latency, Data Curation, and Continuous Model Retraining - ML 143

    14 MAR 2024 · 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 - https://topenddevs.com/resume - https://topenddevs.com/book-club - https://topenddevs.com/sign_up Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy
    1h 1m 20s
  • Navigating Authority and Transparency in Organizations - ML 142

    22 FEB 2024 · 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. Sponsors - https://topenddevs.com/resume - https://topenddevs.com/book-club - https://topenddevs.com/sign_up Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy
    59m 57s
  • Evolution of Dlib: Addressing Challenges in Machine Learning and Computer Vision - ML 141

    8 FEB 2024 · 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, 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. Sponsors - https://topenddevs.com/resume - https://topenddevs.com/book-club - https://topenddevs.com/sign_up Links - http://dlib.net/ Socials - LinkedIn: https://www.linkedin.com/in/davisking/overlay/about-this-profile/ Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy
    1h 17m 17s

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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.
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