Open Source Book For ML

The following is a list of free, open source books on machine learning, statistics, data-mining, etc.

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Machine-Learning / Data Mining

• An Introduction To Statistical Learning - Book + R Code

• Elements of Statistical Learning - Book

• Probabilistic Programming & Bayesian Methods for Hackers - Book + IPython Notebooks

• Thinking Bayes - Book + Python Code

• Information Theory, Inference, and Learning Algorithms

• Gaussian Processes for Machine Learning

• Data Intensive Text Processing w/ MapReduce

• Reinforcement Learning: - An Introduction

• Mining Massive Datasets

• A First Encounter with Machine Learning

• Pattern Recognition and Machine Learning

• Machine Learning & Bayesian Reasoning

• Introduction to Machine Learning

• A Probabilistic Theory of Pattern Recognition

• Introduction to Information Retrieval

• Forecasting: principles and practice

• Practical Artificial Intelligence Programming in Java

• Introduction to Machine Learning

• Reinforcement Learning * Machine Learning

• A Quest for AI

• Introduction to Applied Bayesian Statistics and Estimation for Social Scientists

• Bayesian Modeling, Inference and Prediction

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Naturual Language Processing

• Coursera Course Book on NLP

• NLTK

• NLP w/ Python

• Foundations of Statistical Language Processing

Probability & Statistics

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• Thinking Stats - Book + Python Code

• From Algorithms to Z-Scores - Book

• The Art of R Programming - Book (Not Finished)

• All of Statistics

• Introduction to statistical thought * Basic Probability Theory

• Introduction to probability

• Principle of Uncertainty

• Probability & Statistics Cookbook

• Advanced Data Analysis From An Elmentary Point of View

Linear Algebra

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• Linear Algebra Done Wrong

• Linear Algebra, Theory, and Applications

• Convex Optimization

• Applied Numerical Computing

• Applied Numerical Linear Algebra

轉自Github   原文連接