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Machine Learning Engineered

Machine Learning Engineered

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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.

Recent Episodes

  • Diving Deep into Synthetic Data with Alex Watson of Gretel.ai

    4 years ago

  • A Practical Approach to Learning Machine Learning with Radek Osmulski (Earth Species Project)

    4 years ago

  • From Data Science Leader to ML Researcher with Rodrigo Rivera (Skoltech ADASE, Samsung NEXT)

    4 years ago

  • The Future of ML and AI Infrastructure and Ethics with Dan Jeffries (Pachyderm, AI Infrastructure Alliance)

    4 years ago

  • Developing Feast, the Leading Open Source Feature Store, with Willem Pienaar (Gojek, Tecton)

    4 years ago

  • Bringing DevOps Best Practices into Machine Learning with Benedikt Koller from ZenML

    4 years ago

  • Starting an Independent AI Research Lab with Josh Albrecht from Generally Intelligent

    4 years ago

  • Industrial Machine Learning and Building Tools for Data and Model Monitoring with Evidently AI Co-Founders Elena Samuylova and Emeli Dral

    4 years ago

  • Managing Data Science Teams and Hiring Machine Learning Engineers with Harikrishna Narayanan (YC Stealth Startup)

    4 years ago

  • Lessons Learned From Hosting the ML Engineered Podcast (Charlie Interviewed on the ML Ops Community podcast)

    4 years ago