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Programming for Machine Learning (Tech Talk)

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Manage episode 381352802 series 3514761
Content provided by Daniel Reid Cahn. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Daniel Reid Cahn or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Daniel hosts our machine learning research intern and Cambridge Masters student, Andy Lo, to talk about the present and future of ML programming. Topics include:

  • PyTorch vs. TensorFlow vs. Jax vs MoJo
  • No-code, low-code and pro-code for ML engineers
  • The (frustrating) world of debugging ML code

Have thoughts? We'd love to hear them! Drop an email at [email protected] or reach out on Twitter: @slingshot_ai.

  continue reading

27 episodes

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iconShare
 

Fetch error

Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on September 30, 2025 21:11 (3M ago)

What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.

Manage episode 381352802 series 3514761
Content provided by Daniel Reid Cahn. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Daniel Reid Cahn or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Daniel hosts our machine learning research intern and Cambridge Masters student, Andy Lo, to talk about the present and future of ML programming. Topics include:

  • PyTorch vs. TensorFlow vs. Jax vs MoJo
  • No-code, low-code and pro-code for ML engineers
  • The (frustrating) world of debugging ML code

Have thoughts? We'd love to hear them! Drop an email at [email protected] or reach out on Twitter: @slingshot_ai.

  continue reading

27 episodes

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