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Probability & Statistics
Probability & statistics background for machine learning
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A book’s total score is based on multiple factors, including the number of people who have voted for it and how highly those voters ranked the book.
| 1 |
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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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| 2 |
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Statistical Inference
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4.17 avg rating — 391 ratings
score: 592,
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6 people voted
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| 2 |
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Principles of Statistics: Data Analysis and Visualization
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really liked it 4.00 avg rating — 3 ratings
score: 592,
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6 people voted
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| 4 |
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Principles of Statistics (Dover Books on Mathematics)
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3.99 avg rating — 1,401 ratings
score: 493,
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5 people voted
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| 5 |
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Introduction to Probability
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4.50 avg rating — 167 ratings
score: 396,
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4 people voted
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| 6 |
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Principles of Applied Statistics
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3.67 avg rating — 18 ratings
score: 394,
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4 people voted
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| 7 |
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Machine Learning: An Introduction Math Guide for Beginners to Understand Data Science Through the Business Applications
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4.39 avg rating — 23 ratings
score: 300,
and
3 people voted
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| 8 |
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Bayes' Theorem Examples: A Visual Introduction For Beginners
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3.90 avg rating — 817 ratings
score: 299,
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3 people voted
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| 8 |
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The Math of Neural Networks
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4.17 avg rating — 110 ratings
score: 299,
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3 people voted
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| 10 |
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Naked Statistics: Stripping the Dread from the Data
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3.96 avg rating — 14,924 ratings
score: 200,
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2 people voted
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| 11 |
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How to Lie with Statistics
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3.84 avg rating — 17,695 ratings
score: 199,
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2 people voted
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| 12 |
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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
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4.80 avg rating — 20 ratings
score: 198,
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2 people voted
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| 13 |
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Mathematical Statistics with Applications
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3.71 avg rating — 163 ratings
score: 197,
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2 people voted
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| 13 |
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Probability Essentials
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really liked it 4.00 avg rating — 36 ratings
score: 197,
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2 people voted
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| 13 |
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Introduction To Probability
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4.29 avg rating — 199 ratings
score: 197,
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2 people voted
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| 16 |
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Machine Learning Mathematics: Study Deep Learning Through Data Science. How to Build Artificial Intelligence Through Concepts of Statistics, Algorithms, Analysis and Data Mining
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4.28 avg rating — 32 ratings
score: 196,
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2 people voted
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| 17 |
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Decision Trees and Random Forests: A Visual Introduction For Beginners: A Simple Guide to Machine Learning with Decision Trees
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3.93 avg rating — 147 ratings
score: 195,
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2 people voted
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| 18 |
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Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference
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3.99 avg rating — 209 ratings
score: 190,
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2 people voted
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| 19 |
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Probability and Bayesian Modeling
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4.67 avg rating — 3 ratings
score: 100,
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1 person voted
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| 19 |
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Taxonomy of the most commonly used Machine Learning Algorithms
by
Murat Durmus (Goodreads Author)
4.33 avg rating — 6 ratings
score: 100,
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1 person voted
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| 21 |
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Statistical Inference (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
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3.33 avg rating — 9 ratings
score: 99,
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1 person voted
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| 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.
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really liked it 4.00 avg rating — 174 ratings
score: 98,
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1 person voted
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| 23 |
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Probability
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3.42 avg rating — 65 ratings
score: 97,
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1 person voted
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| 23 |
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Statistics: Theory and Methods
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4.75 avg rating — 4 ratings
score: 97,
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1 person voted
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| 25 |
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Bayesian Data Analysis
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4.21 avg rating — 536 ratings
score: 96,
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1 person voted
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| 25 |
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Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan
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4.35 avg rating — 371 ratings
score: 96,
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1 person voted
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| 27 |
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Bayes' Rule: A Tutorial Introduction to Bayesian Analysis
by
James V. Stone (Goodreads Author)
3.96 avg rating — 163 ratings
score: 95,
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1 person voted
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| 28 |
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DATA ANALYSIS:BAYESIAN TUTORIAL 2E PAPER: A Bayesian Tutorial
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4.19 avg rating — 97 ratings
score: 94,
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1 person voted
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28 books ·
28 voters ·
list created August 15th, 2012
by Yakov Zaytsev (votes) .
Tags:
probability, statistics
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