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Mathematics for Machine Learning
by
4.33 avg rating — 230 ratings
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2 |
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction
by
4.43 avg rating — 1,873 ratings
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3 |
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Deep Learning
by
4.44 avg rating — 2,082 ratings
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4 |
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Information Theory, Inference, and Learning Algorithms
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4.52 avg rating — 487 ratings
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5 |
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Pattern Recognition and Machine Learning
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4.32 avg rating — 1,889 ratings
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6 |
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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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4.41 avg rating — 128 ratings
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7 |
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Deep Learning with Python
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4.57 avg rating — 1,372 ratings
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8 |
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Convex Optimization
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4.48 avg rating — 345 ratings
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9 |
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Probability Theory: The Logic of Science
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4.41 avg rating — 650 ratings
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9 |
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Numerical Linear Algebra
by
4.28 avg rating — 148 ratings
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11 |
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Linear Algebra Done Right
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4.38 avg rating — 1,239 ratings
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12 |
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Introduction to Linear Algebra (Gilbert Strang, 2)
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4.24 avg rating — 694 ratings
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13 |
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Introduction to Machine Learning with Python: A guide for Data Scientists
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4.34 avg rating — 588 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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13 |
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Numerical Optimization (Springer Series in Operations Research and Financial Engineering)
by
4.34 avg rating — 134 ratings
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16 |
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Matrix Computations (Johns Hopkins Studies in the Mathematical Sciences, 3)
by
4.26 avg rating — 149 ratings
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16 |
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Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2
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4.25 avg rating — 756 ratings
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18 |
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Bayesian Data Analysis
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4.21 avg rating — 536 ratings
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18 |
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Numerical Recipes: The Art of Scientific Computing
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4.32 avg rating — 158 ratings
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20 |
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All of Statistics: A Concise Course in Statistical Inference
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4.26 avg rating — 388 ratings
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21 |
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Nonlinear Programming
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4.43 avg rating — 37 ratings
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22 |
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Concentration Inequalities: A Nonasymptotic Theory of Independence
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4.56 avg rating — 18 ratings
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22 |
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Probability and Statistics for Engineers and Scientists
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4.08 avg rating — 413 ratings
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24 |
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Optimization by Vector Space Methods
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4.51 avg rating — 37 ratings
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25 |
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Deep Learning with R
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4.45 avg rating — 87 ratings
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26 |
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Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction
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4.49 avg rating — 71 ratings
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27 |
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Probability and Stochastics (Graduate Texts in Mathematics, Vol. 261) (Graduate Texts in Mathematics, 261)
by
4.50 avg rating — 16 ratings
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28 |
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Independent Component Analysis
by
4.47 avg rating — 15 ratings
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29 |
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Bayesian Reasoning and Machine Learning
by
4.10 avg rating — 193 ratings
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30 |
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Probabilistic Graphical Models: Principles and Techniques
by
4.19 avg rating — 257 ratings
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31 |
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Causality
by
4.17 avg rating — 326 ratings
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32 |
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Neural Networks for Pattern Recognition (Advanced Texts in Econometrics (Paperback))
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4.11 avg rating — 170 ratings
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33 |
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Statistical Inference
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4.17 avg rating — 390 ratings
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34 |
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Machine Learning (McGraw-Hill International Editions Computer Science Series)
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4.07 avg rating — 853 ratings
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35 |
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Fundamentals of Convex Analysis
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it was amazing 5.00 avg rating — 5 ratings
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36 |
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Support Vector Machines
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4.56 avg rating — 9 ratings
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37 |
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Theory of Probability
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4.90 avg rating — 10 ratings
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38 |
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Convex Optimization Theory
by
4.33 avg rating — 12 ratings
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38 |
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Think Stats
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3.64 avg rating — 466 ratings
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40 |
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Introduction to Machine Learning
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3.77 avg rating — 248 ratings
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41 |
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Convex Analysis and Nonlinear Optimization: Theory and Examples (CMS Books in Mathematics)
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4.33 avg rating — 9 ratings
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42 |
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Statistics for High-Dimensional Data: Methods, Theory and Applications (Springer Series in Statistics)
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4.20 avg rating — 10 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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An Introduction to Probability and Inductive Logic
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3.80 avg rating — 165 ratings
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45 |
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A History of Mathematics (3rd Edition)
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4.32 avg rating — 56 ratings
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46 |
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Probability and Measure (Wiley Series in Probability and Statistics Book 938)
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4.21 avg rating — 66 ratings
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46 |
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Matrix Analysis
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4.36 avg rating — 59 ratings
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46 |
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Understanding Machine Learning
by
4.21 avg rating — 131 ratings
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49 |
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Categorical Data Analysis (Wiley Series in Probability and Statistics)
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4.23 avg rating — 82 ratings
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50 |
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Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares
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4.19 avg rating — 47 ratings
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51 |
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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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52 |
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Numerical Linear Algebra and Applications
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4.20 avg rating — 20 ratings
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53 |
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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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54 |
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Introduction to Probability
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4.26 avg rating — 23 ratings
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55 |
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Handbook of the History of Logic, Volume 10: Inductive Logic
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4.75 avg rating — 4 ratings
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56 |
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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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57 |
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Probability via Expectation
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4.40 avg rating — 5 ratings
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58 |
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All of Nonparametric Statistics
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4.15 avg rating — 40 ratings
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59 |
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Probability Essentials
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59 |
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Introduction to Numerical Analysis
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4.13 avg rating — 15 ratings
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59 |
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The Nature of Statistical Learning Theory
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4.26 avg rating — 34 ratings
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59 |
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STATISTICAL LEARNING THEORY
by
4.23 avg rating — 22 ratings
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63 |
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Theory of Point Estimation
by
3.87 avg rating — 23 ratings
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64 |
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System Identification: Theory for the User
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4.18 avg rating — 22 ratings
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65 |
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Generalized Linear Models (Monographs on Statistics and Applied Probability)
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4.07 avg rating — 27 ratings
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66 |
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Gaussian Processes for Machine Learning
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4.17 avg rating — 108 ratings
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67 |
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Observation and Experiment: An Introduction to Causal Inference
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4.35 avg rating — 54 ratings
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68 |
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Linear Algebra
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3.92 avg rating — 113 ratings
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69 |
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Probability: An Introduction
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4.10 avg rating — 39 ratings
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70 |
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The Bootstrap and Edgeworth Expansion (Springer Series in Statistics)
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70 |
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A Primer to the 42 Most commonly used Machine Learning Algorithms (With Code Samples). (Artificial Intelligence Book 1)
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4.20 avg rating — 10 ratings
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72 |
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Oeuvres Completes de Niels Henrik Abel: Nouvelle Edition: Nouvelle édition: Volume 1
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it was amazing 5.00 avg rating — 1 rating
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72 |
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A First Course in Dynamics: with a Panorama of Recent Developments
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really liked it 4.00 avg rating — 1 rating
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74 |
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Kernel Methods for Pattern Analysis
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3.96 avg rating — 28 ratings
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75 |
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Theory of Linear Operators in Hilbert Space (Dover Books on Mathematics)
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4.20 avg rating — 10 ratings
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75 |
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Probability
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3.92 avg rating — 26 ratings
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77 |
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Handbook of Linear Algebra
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77 |
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Minimization Methods for Non-Differentiable Functions (Springer Series in Computational Mathematics)
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4.50 avg rating — 4 ratings
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79 |
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Predicting Structured Data
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3.57 avg rating — 7 ratings
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80 |
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Information and Exponential Families in Statistical Theory
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81 |
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Latent Variable Models and Factor Analysis: A Unified Approach
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4.25 avg rating — 4 ratings
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82 |
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Geometry at Work (Mathematical Association of America Notes, Series Number 53)
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3.50 avg rating — 2 ratings
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82 |
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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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84 |
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Reproducing Kernel Hilbert Spaces in Probability and Statistics
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84 |
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Spline Models for Observational Data (CBMS-NSF Regional Conference Series in Applied Mathematics, Series Number 59)
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3.67 avg rating — 3 ratings
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86 |
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Mathematical Statistics: Basic Ideas and Selected Topics, Vol I (2nd Edition)
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3.63 avg rating — 19 ratings
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86 |
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Testing Statistical Hypotheses
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3.65 avg rating — 17 ratings
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88 |
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Linear Algebra (Springer Undergraduate Mathematics Series)
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3.83 avg rating — 6 ratings
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89 |
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Numerical Optimization: Theoretical and Practical Aspects
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3.67 avg rating — 3 ratings
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90 |
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On-Line Learning in Neural Networks (Publications of the Newton Institute, Series Number 17)
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Matrix Differential Calculus with Applications in Statistics and Econometrics (Wiley Series in Probability and Statistics)
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92 |
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Low Rank Approximation: Algorithms, Implementation, Applications
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93 |
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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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94 |
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Handbook of Markov Chain Monte Carlo (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)
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3.85 avg rating — 13 ratings
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Fundamentals of Statistical Exponential Families (Ims Lecture Notes-Monograph Ser.: Vol.9)
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4.50 avg rating — 2 ratings
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95 |
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Svd and Signal Processing
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97 |
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Learning in Graphical Models
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98 |
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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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99 |
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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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100 |
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The Relational Model for Database Management: Version 2
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3.92 avg rating — 13 ratings
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