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Mathematics for Machine Learning
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction
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4.43 avg rating — 1,900 ratings
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Pattern Recognition and Machine Learning
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4.32 avg rating — 1,911 ratings
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Deep Learning
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Probability Theory: The Logic of Science
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4.41 avg rating — 660 ratings
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Numerical Linear Algebra
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4.29 avg rating — 153 ratings
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Linear Algebra Done Right
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4.40 avg rating — 1,299 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 — 357 ratings
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Introduction to Linear Algebra (Gilbert Strang, 2)
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4.25 avg rating — 705 ratings
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Machine Learning: A Probabilistic Perspective
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4.34 avg rating — 522 ratings
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Introduction to Machine Learning with Python: A guide for Data Scientists
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4.33 avg rating — 601 ratings
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Deep Learning with Python
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4.57 avg rating — 1,425 ratings
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| 14 |
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Numerical Optimization (Springer Series in Operations Research and Financial Engineering)
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4.31 avg rating — 139 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 — 540 ratings
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Numerical Recipes: The Art of Scientific Computing
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