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Stanford MLSys Seminar

Dan Fu, Karan Goel, Fiodar Kazhamakia, Piero Molino, Matei Zaharia, Chris Ré
Technology

Machine learning is driving exciting changes and progress in computing. What does the ubiquity of machine learning mean for how people build and deploy systems and applications? What challenges does industry face when deploying machine learning systems in the real world, and how can academia rise to meet those challenges? Updates every Monday and Friday - old episodes on Mondays, new episodes on Fridays! Check out our website and your YouTube channel for full videos! https://mlsys.stanford.edu/ https://www.youtube.com/channel/UCzz6ructab1U44QPI3HpZEQ

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Reviews

5 out of 5 stars from 5 ratings
  • Love this podcast!

    Shows are interesting, informative and always feature an amazing guest.

    Apple Podcasts
    5
    av_2021
    United States14 days ago
  • Great podcast

    Love it!

    Apple Podcasts
    5
    Jenny_balloon
    United States15 days ago

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How many episodes of Stanford MLSys Seminar are there?

Stanford MLSys Seminar launched 15 days ago and published 9 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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