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Mathematics for Machine Learning
by
4.34 avg rating — 244 ratings
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| 2 |
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Deep Learning
by
4.44 avg rating — 2,113 ratings
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| 3 |
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Pattern Recognition and Machine Learning
by
4.32 avg rating — 1,898 ratings
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| 4 |
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction
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4.43 avg rating — 1,884 ratings
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| 5 |
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Matrix Computations (Johns Hopkins Studies in the Mathematical Sciences, 3)
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4.26 avg rating — 150 ratings
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| 6 |
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Numerical Recipes: The Art of Scientific Computing
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4.32 avg rating — 157 ratings
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| 7 |
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Bayesian Data Analysis
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4.21 avg rating — 538 ratings
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| 8 |
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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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4.43 avg rating — 129 ratings
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| 9 |
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Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2
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4.24 avg rating — 756 ratings
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| 10 |
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Numerical Optimization (Springer Series in Operations Research and Financial Engineering)
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4.33 avg rating — 136 ratings
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| 11 |
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Deep Learning with Python
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4.57 avg rating — 1,390 ratings
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| 12 |
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Introduction to Machine Learning with Python: A guide for Data Scientists
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4.33 avg rating — 594 ratings
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| 13 |
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Machine Learning: A Probabilistic Perspective
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4.34 avg rating — 520 ratings
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| 14 |
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Convex Optimization
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4.48 avg rating — 349 ratings
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| 15 |
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Information Theory, Inference, and Learning Algorithms
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4.52 avg rating — 488 ratings
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| 16 |
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Introduction to Linear Algebra (Gilbert Strang, 2)
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4.24 avg rating — 696 ratings
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| 17 |
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Linear Algebra Done Right
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4.39 avg rating — 1,263 ratings
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| 18 |
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Numerical Linear Algebra
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4.28 avg rating — 151 ratings
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| 19 |
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Probability Theory: The Logic of Science
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4.41 avg rating — 656 ratings
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| 20 |
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Convex Analysis
by
4.44 avg rating — 27 ratings
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| 21 |
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Deep Learning with R
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4.45 avg rating — 87 ratings
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| 22 |
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Probability and Stochastics (Graduate Texts in Mathematics, Vol. 261)
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4.53 avg rating — 17 ratings
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| 23 |
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Statistics for High-Dimensional Data: Methods, Theory and Applications (Springer Series in Statistics)
by
4.20 avg rating — 10 ratings
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| 24 |
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Concentration Inequalities: A Nonasymptotic Theory of Independence
by
4.56 avg rating — 18 ratings
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| 25 |
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Convex Analysis and Nonlinear Optimization: Theory and Examples (CMS Books in Mathematics)
by
4.33 avg rating — 9 ratings
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| 26 |
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Optimization by Vector Space Methods
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4.53 avg rating — 38 ratings
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| 27 |
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Convex Optimization Theory
by
4.33 avg rating — 12 ratings
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| 28 |
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Nonlinear Programming
by
4.43 avg rating — 37 ratings
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| 29 |
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Theory of Probability
by
4.89 avg rating — 9 ratings
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| 30 |
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Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction
by
4.50 avg rating — 72 ratings
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| 31 |
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Independent Component Analysis
by
4.47 avg rating — 15 ratings
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| 32 |
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Support Vector Machines
by
4.56 avg rating — 9 ratings
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| 33 |
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Information Geometry and Its Applications (Applied Mathematical Sciences, 194)
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4.57 avg rating — 7 ratings
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| 34 |
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Fundamentals of Convex Analysis
by
it was amazing 5.00 avg rating — 5 ratings
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