Indeed. Complemented with the book, which covers several useful concepts, methods, techniques and uses them in several problems, it is a great reference for anyone doing ML 
@aureliengeron
A pretty cool and perhaps underappreciated resource for learning ML: the notebooks of Aurelien Geron's book "Hands-on Machine Learning with Scikit-Learn, Keras and TensorFlow", available on GitHubhttps://github.com/ageron/handson-ml2 …
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@AndrewYNg course era content which is found on YouTube for free. just search Andrew ng deep learning. though a bit dated it is still a outstanding resource
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arguably, one of the best resources to learn
#MachineLearning , props to@aureliengeron for putting it together... indeed, it was a very wanted prize in the recent @AISaturdaysEs#Madrid#DemoDaypic.twitter.com/nbaF3B4GQv
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agree, perfect resource for the practical side of ML.
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Not only ML the
@aureliengeron NB are excellent The@matplotlib , numpy and linear algebra notebooks are hidden gems.Thanks. Twitter will use this to make your timeline better. UndoUndo
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Easily the best comprehensive coverage of the subject.
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@aureliengeron GitHub repo (and his book) is such a great resource! I've been referencing it to my data science students when they start getting into machine learning. I cannot recommend all of it enough!Thanks. Twitter will use this to make your timeline better. UndoUndo
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