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par Marc Peter Deisenroth, A. Aldo Faisal, Cheng Soon Ong
A practical math reference for linear algebra, analytic geometry, matrix decompositions, vector calculus, probability, and optimization in ML.
A practical math reference for linear algebra, analytic geometry, matrix decompositions, vector calculus, probability, and optimization in ML.
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par Aston Zhang, Zachary C. Lipton, Mu Li, Alexander J. Smola
A hands-on deep learning book with code-first explanations of neural networks, CNNs, RNNs, attention, transformers, and modern training workflows.