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RRP #3: Andy Müller on scikit-learn and open source
RARE PERSPECTIVES: The AI and Machine Learning Podcast
English - April 23, 2017 12:09 - 48 minutes - 44 MB - ★★★★ - 5 ratingsNatural Sciences Science Technology Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
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 ... Read More
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].
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Archive of previous episodes.