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RRP #3: Andy Müller on scikit-learn and open source
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When? This feed was archived on July 28, 2019 01:33 (). Last successful fetch was on May 24, 2019 16:51 ()
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Manage episode 200743864 series 2130043
Episode Summary: Andreas Müller talks about how he fell in love with scikit-learn and his continuous work there as the package maintainer. We also cover his work at Amazon and why he left to work on open source; his recent book on machine learning in Python; sustainability and future of sklearn in the "deep learning world", and his impressions of New York as a German citizen.
Links & resources:
For the Martians: Scikit-learn ML library and Andy's sklearn cheat-sheet diagram.
Andy's personal website with his software, talks and publications.
A. Mueller, S. Guido: Introduction to Machine Learning with Python, A Guide for Data Scientists, book available at O'Reilly.
Methods for Learning Structured Prediction in Semantic Segmentation, Andy's PhD thesis [PDF].
Subscribe with RSS, iTunes, YouTube, Stitcher, SoundCloud.
Archive of previous episodes.
4 episodes
Archived series ("Inactive feed" status)
When? This feed was archived on July 28, 2019 01:33 (). Last successful fetch was on May 24, 2019 16:51 ()
Why? Inactive feed status. Our servers were unable to retrieve a valid podcast feed for a sustained period.
What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.
Manage episode 200743864 series 2130043
Episode Summary: Andreas Müller talks about how he fell in love with scikit-learn and his continuous work there as the package maintainer. We also cover his work at Amazon and why he left to work on open source; his recent book on machine learning in Python; sustainability and future of sklearn in the "deep learning world", and his impressions of New York as a German citizen.
Links & resources:
For the Martians: Scikit-learn ML library and Andy's sklearn cheat-sheet diagram.
Andy's personal website with his software, talks and publications.
A. Mueller, S. Guido: Introduction to Machine Learning with Python, A Guide for Data Scientists, book available at O'Reilly.
Methods for Learning Structured Prediction in Semantic Segmentation, Andy's PhD thesis [PDF].
Subscribe with RSS, iTunes, YouTube, Stitcher, SoundCloud.
Archive of previous episodes.
4 episodes
All episodes
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