Advanced Machine Learning with scikit-learn
Read it now on the O’Reilly learning platform with a 10-day free trial. O’Reilly members get unlimited access to books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers. Video description In this Advanced Machine Learning with scikit-learn training course, expert author Andreas Mueller will teach you how to choose and evaluate machine learning models.
GitHub - amueller/introduction_to_ml_with_python: Notebooks and code for the book "Introduction to Machine Learning with Python"
This repository holds the code for the forthcoming book "Introduction to Machine Learning with Python" by Andreas Mueller and Sarah Guido. You can find details about the book on the O'Reilly website. The book requires the current stable version of scikit-learn, that is 0.20.0. Most of the book can also be used with previous versions of scikit-learn, though you need to adjust the import for everyth
Machine Learning for Artists
Machine learning [40%, eta ~May 2018] Neural networks Looking inside neural nets How neural networks are trained Convolutional neural networks Looking inside convnets [40%, eta ~Apr 2018] Deepdream [10%, eta ~Apr 2018] Style transfer [30%, eta ~May 2018] Generative models [10%, eta ~Jun 2018] Recurrent neural networks [10%, eta tbd] Language processing [10%, eta tbd] Game playing [10%, eta tbd]
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Approaching (Almost) Any Machine Learning Problem | Abhishek Thakur | No Free Hunch