Probability & Statistics

Probability & statistics background for machine learning

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1	All of Statistics: A Concise Course in Statistical Inference by Larry Wasserman 4.26 avg rating — 388 ratings score: 1,091, and 11 people voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
2	Statistical Inference by George Casella 4.17 avg rating — 390 ratings score: 592, and 6 people voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
2	Principles of Statistics: Data Analysis and Visualization by David Krus really liked it 4.00 avg rating — 3 ratings score: 592, and 6 people voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
4	Principles of Statistics (Dover Books on Mathematics) by M.G. Bulmer 3.99 avg rating — 1,401 ratings score: 493, and 5 people voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
5	Introduction to Probability by Joseph K. Blitzstein 4.51 avg rating — 166 ratings score: 396, and 4 people voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
6	Principles of Applied Statistics by D.R. Cox 3.67 avg rating — 18 ratings score: 394, and 4 people voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
7	Machine Learning: An Introduction Math Guide for Beginners to Understand Data Science Through the Business Applications by Samuel Hack 4.39 avg rating — 23 ratings score: 300, and 3 people voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
8	Bayes' Theorem Examples: A Visual Introduction For Beginners by Dan Morris 3.90 avg rating — 817 ratings score: 299, and 3 people voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
8	The Math of Neural Networks by Michael Taylor 4.17 avg rating — 110 ratings score: 299, and 3 people voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
10	Naked Statistics: Stripping the Dread from the Data by Charles Wheelan 3.96 avg rating — 14,913 ratings score: 200, and 2 people voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
11	How to Lie with Statistics by Darrell Huff 3.84 avg rating — 17,684 ratings score: 199, and 2 people voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
12	Machine Learning: 4 Books in 1: A Complete Overview for Beginners to Master the Basics of Python Programming and Understand How to Build Artificial Intelligence Through Data Science by Samuel Hack 4.80 avg rating — 20 ratings score: 198, and 2 people voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
13	Mathematical Statistics with Applications by Dennis D. Wackerly 3.71 avg rating — 163 ratings score: 197, and 2 people voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
13	Probability Essentials by Jean Jacod really liked it 4.00 avg rating — 36 ratings score: 197, and 2 people voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
13	Introduction To Probability by Dimitri P. Bertsekas 4.29 avg rating — 199 ratings score: 197, and 2 people voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
16	Machine Learning Mathematics: Study Deep Learning Through Data Science. How to Build Artificial Intelligence Through Concepts of Statistics, Algorithms, Analysis and Data Mining by Samuel Hack 4.28 avg rating — 32 ratings score: 196, and 2 people voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
17	Decision Trees and Random Forests: A Visual Introduction For Beginners: A Simple Guide to Machine Learning with Decision Trees by Chris Smith 3.93 avg rating — 147 ratings score: 195, and 2 people voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
18	Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference by Cameron Davidson-Pilon 3.99 avg rating — 209 ratings score: 190, and 2 people voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
19	Probability and Bayesian Modeling by Jim Albert 4.67 avg rating — 3 ratings score: 100, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
19	Taxonomy of the most commonly used Machine Learning Algorithms by Murat Durmus (Goodreads Author) 4.33 avg rating — 6 ratings score: 100, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
21	Statistical Inference (Chapman & Hall/CRC Monographs on Statistics and Applied Probability) by S.D. Silvey 3.33 avg rating — 9 ratings score: 99, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
22	Machine Learning with Neural Networks: An In-depth Visual Introduction with Python: Make Your Own Neural Network in Python: A Simple Guide on Machine Learning with Neural Networks. by Michael Taylor really liked it 4.00 avg rating — 174 ratings score: 98, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
23	Probability by Jim Pitman 3.42 avg rating — 65 ratings score: 97, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
23	Statistics: Theory and Methods by Donald A. Berry 4.75 avg rating — 4 ratings score: 97, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
25	Bayesian Data Analysis by Andrew Gelman 4.21 avg rating — 536 ratings score: 96, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
25	Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan by John K. Kruschke 4.35 avg rating — 371 ratings score: 96, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
27	Bayes' Rule: A Tutorial Introduction to Bayesian Analysis by James V. Stone (Goodreads Author) 3.96 avg rating — 163 ratings score: 95, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
28	DATA ANALYSIS:BAYESIAN TUTORIAL 2E PAPER: A Bayesian Tutorial by Devinderjit Singh Sivia 4.19 avg rating — 97 ratings score: 94, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars