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Mathematics for Machine Learning
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4.33 avg rating — 247 ratings
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction
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4.43 avg rating — 1,886 ratings
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Pattern Recognition and Machine Learning
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4.32 avg rating — 1,901 ratings
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Deep Learning
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4.44 avg rating — 2,118 ratings
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Probability Theory: The Logic of Science
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4.41 avg rating — 657 ratings
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Numerical Linear Algebra
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4.29 avg rating — 151 ratings
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Linear Algebra Done Right
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4.39 avg rating — 1,275 ratings
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Information Theory, Inference, and Learning Algorithms
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Convex Optimization
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4.48 avg rating — 354 ratings
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Introduction to Linear Algebra (Gilbert Strang, 2)
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4.25 avg rating — 697 ratings
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Machine Learning: A Probabilistic Perspective
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4.34 avg rating — 520 ratings
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Introduction to Machine Learning with Python: A guide for Data Scientists
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4.33 avg rating — 595 ratings
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Deep Learning with Python
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4.57 avg rating — 1,397 ratings
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Numerical Optimization (Springer Series in Operations Research and Financial Engineering)
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4.32 avg rating — 138 ratings
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Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2
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Computer Age Statistical Inference: Algorithms, Evidence, and Data Science (Institute of Mathematical Statistics Monographs, Series Number 5)
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Matrix Computations (Johns Hopkins Studies in the Mathematical Sciences, 3)
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Bayesian Data Analysis
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4.21 avg rating — 539 ratings
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Numerical Recipes: The Art of Scientific Computing
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