11 episodes

This podcast helps Machine Learning Engineers become the best at what they do. Join host Charlie You every week as he talks to the brightest minds in data science, artificial intelligence, and software engineering to discover how they bring cutting edge research out of the lab and into products that people love. You'll learn the skills, tools, and best practices you can use to build better ML systems and accelerate your career in this flourishing new field.

Machine Learning Engineered Charlie You

    • Technology
    • 5.0 • 1 Rating

This podcast helps Machine Learning Engineers become the best at what they do. Join host Charlie You every week as he talks to the brightest minds in data science, artificial intelligence, and software engineering to discover how they bring cutting edge research out of the lab and into products that people love. You'll learn the skills, tools, and best practices you can use to build better ML systems and accelerate your career in this flourishing new field.

    Shreya Shankar: Lessons learned after a year of putting ML into production

    Shreya Shankar: Lessons learned after a year of putting ML into production

    Shreya discusses what she's learned in the past year about making ML useful by putting into production. She touches on strategies for ensuring reproducibility, feature engineering best practices, and her checklist for building AI-driven systems.

    • 1 hr 24 min
    Josh Tobin: Research at OpenAI, Full Stack Deep Learning, ML in Production

    Josh Tobin: Research at OpenAI, Full Stack Deep Learning, ML in Production

    Josh discusses his research in ML for robotics at OpenAI, why putting ML into production is so hard, and how he things ML systems will be built in the future.

    • 1 hr 9 min
    Sanyam Bhutani: Chai Time Data Science

    Sanyam Bhutani: Chai Time Data Science

    Sanyam talks about teaching himself ML during college, blogging, creating the Chai Time Data Science Show, and working at H2O.ai

    • 1 hr 28 min
    Devon Bernard: "If you can sell it, I can build it"

    Devon Bernard: "If you can sell it, I can build it"

    Devon talks about how he built an app that blew up to over 500k users, best practices for engineering and consulting, and startup mega-trends.

    • 1 hr 42 min
    Catherine Yeo: Fairness in AI and Algorithms

    Catherine Yeo: Fairness in AI and Algorithms

    Catherine Yeo discusses AI and algorithmic fairness—what it is, why it matters, and how we can work to reduce biases in our own models.

    • 1 hr 3 min
    Charles Yang: Machine Learning for Scientific Research

    Charles Yang: Machine Learning for Scientific Research

    Charles discusses the breakthrough results ML has produced in scientific research, how both traditional scientists and ML researchers can get involved, and gives an unexpected answer to a rapid fire question.

    • 1 hr 26 min

Customer Reviews

5.0 out of 5
1 Rating

1 Rating

Cvcassady ,

Charlie You is a great ML engineer

And a great podcast host!

Top Podcasts In Technology