Changelog Master Feed

Low code, no code, accelerated code, & failing code (Practical AI #123)

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In this Fully-Connected episode, Chris and Daniel discuss low code / no code development, GPU jargon, plus more data leakage issues. They also share some really cool new learning opportunities for leveling up your AI/ML game!

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    • Featuring:

    • Chris Benson – Website, GitHub, LinkedIn, X
    • Daniel Whitenack – Website, GitHub, X

    Show Notes:

    • Follow up content from Rajiv Shah:
      • Running code and failing models
      • Rajiv’s previous episode
      • Lambda Lab’s GPU benchmarks
      • Machine Learning in Microsoft Excel
      • Deep Learning at the Speed of Light
      • MLCommons and MLCube:
        • Previous episode about MLCommons
        • MLCube project
        • Learning Resources:
          • Yann LeCun’s Deep Learning Course Is Now Free & Fully Online
          • TensorFlow Everywhere

            • Something missing or broken? PRs welcome!

            ...more
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