21 Best Machine Learning Books for Beginners and Experts
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Jaideep Pathak, Shashank Subramanian, Peter Harrington, Thorsten Kurth, Andre Graubner, Morteza Mardani, David Hall, Karthik Kashinath, Anima Anandkumar · FourCastNet: A practical introduction to a state-of-the-art deep learning global weather emulator ·
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Peter Harrington - Machine Learning Engineer - National Energy Research Scientific Computing Center (NERSC) | LinkedIn
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21 Best Machine Learning Books for Beginners and Experts
GitHub - pbharrin/machinelearninginaction: Source Code for the book: Machine Learning in Action published by Manning
