| 1 |
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The Bootstrap and Edgeworth Expansion (Springer Series in Statistics)
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| 2 |
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A First Course in Dynamics: with a Panorama of Recent Developments
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| 3 |
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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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| 4 |
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Fundamentals of Convex Analysis
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| 5 |
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Handbook of Linear Algebra
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| 6 |
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Matrix Analysis
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4.33 avg rating — 63 ratings
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| 7 |
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Independent Component Analysis
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4.47 avg rating — 15 ratings
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| 8 |
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Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction
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4.48 avg rating — 73 ratings
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| 9 |
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Probability Essentials
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| 10 |
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Probability Theory: The Logic of Science
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4.41 avg rating — 657 ratings
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| 11 |
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Theory of Probability
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4.89 avg rating — 9 ratings
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| 12 |
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Advances in Kernel Methods: Support Vector Learning
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3.67 avg rating — 3 ratings
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| 13 |
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A History of Mathematics (3rd Edition)
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4.29 avg rating — 58 ratings
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| 14 |
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Probabilistic Graphical Models: Principles and Techniques
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4.19 avg rating — 259 ratings
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| 15 |
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Linear Algebra
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3.92 avg rating — 114 ratings
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| 16 |
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Testing Statistical Hypotheses
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3.65 avg rating — 17 ratings
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| 17 |
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Theory of Point Estimation
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3.83 avg rating — 23 ratings
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| 18 |
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Linear Algebra (Springer Undergraduate Mathematics Series)
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3.83 avg rating — 6 ratings
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| 19 |
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System Identification: Theory for the User
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4.18 avg rating — 22 ratings
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| 20 |
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Optimization by Vector Space Methods
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4.53 avg rating — 38 ratings
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| 21 |
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Information Theory, Inference, and Learning Algorithms
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4.52 avg rating — 488 ratings
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| 22 |
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Matrix Differential Calculus with Applications in Statistics and Econometrics (Wiley Series in Probability and Statistics)
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3.91 avg rating — 11 ratings
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| 23 |
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Low Rank Approximation: Algorithms, Implementation, Applications
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| 24 |
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Stochastic Models, Estimation and Control: Volume 1
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3.50 avg rating — 2 ratings
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| 25 |
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Generalized Linear Models (Monographs on Statistics and Applied Probability)
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4.04 avg rating — 27 ratings
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| 26 |
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Machine Learning (McGraw-Hill International Editions Computer Science Series)
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4.07 avg rating — 856 ratings
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| 27 |
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Svd and Signal Processing
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| 28 |
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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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| 29 |
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Machine Learning: A Probabilistic Perspective
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4.34 avg rating — 520 ratings
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| 30 |
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Learning in Graphical Models
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| 31 |
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An Introduction to Copulas (Springer Series in Statistics)
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3.60 avg rating — 10 ratings
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| 32 |
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Lectures on Convex Optimization (Springer Optimization and Its Applications, 137)
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4.43 avg rating — 7 ratings
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| 33 |
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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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| 34 |
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Advanced Structured Prediction (Neural Information Processing series)
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4.50 avg rating — 2 ratings
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| 35 |
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Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference (Morgan Kaufmann Series in Representation and Reasoning)
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4.29 avg rating — 75 ratings
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| 36 |
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Causality
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4.17 avg rating — 330 ratings
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| 37 |
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Elements of Causal Inference: Foundations and Learning Algorithms (Adaptive Computation and Machine Learning series)
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3.64 avg rating — 50 ratings
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| 38 |
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A User's Guide to Measure Theoretic Probability
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3.73 avg rating — 15 ratings
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| 39 |
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Optimization and Its Applications in Control and Data Sciences: In Honor of Boris T. Polyak’s 80th Birthday (Springer Optimization and Its Applications, 115)
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| 40 |
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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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| 41 |
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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 — 758 ratings
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| 42 |
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Gaussian Processes for Machine Learning
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4.17 avg rating — 109 ratings
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| 43 |
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Convex Analysis
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4.44 avg rating — 27 ratings
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| 44 |
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A First Course in Machine Learning
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3.92 avg rating — 26 ratings
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| 45 |
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Observation and Experiment: An Introduction to Causal Inference
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4.33 avg rating — 54 ratings
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| 46 |
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Linear Algebra and Matrix Analysis for Statistics
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3.33 avg rating — 3 ratings
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| 47 |
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Simulation and the Monte Carlo Method (Wiley Series in Probability and Statistics)
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3.17 avg rating — 6 ratings
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| 48 |
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Teoria Generale Delle Equazioni, Vol. 1: In Cui Si Dimostra Impossibile la Soluzione Algebraica Delle Equazioni Generali di Grado Superiore al Quarto (Classic Reprint)
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| 49 |
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Theory of Reproducing Kernels and Applications (Developments in Mathematics Book 44)
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| 50 |
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Bayesian Filtering and Smoothing (Institute of Mathematical Statistics Textbooks, Series Number 3)
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4.35 avg rating — 17 ratings
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