Books and Materials

The following is a list of free, open source books on machine learning/data mining

Machine-Learning / Data Mining

• The Hundred-Page Machine Learning Book
• Real World Machine Learning [Free Chapters]
• An Introduction To Statistical Learning - Book + R Code
• Elements of Statistical Learning - Book
• Computer Age Statistical Inference (CASI) (Permalink as of October 2017) - Book
• Probabilistic Programming & Bayesian Methods for Hackers - Book + IPython Notebooks
• Think 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 (Permalink to Nov 2017 Draft)
• Mining Massive Datasets
• A First Encounter with Machine Learning
• Pattern Recognition and Machine Learning
• Machine Learning & Bayesian Reasoning
• Introduction to Machine Learning - Alex Smola and S.V.N. Vishwanathan
• A Probabilistic Theory of Pattern Recognition
• Introduction to Information Retrieval
• Forecasting: principles and practice
• Practical Artificial Intelligence Programming in Java
• Introduction to Machine Learning - Amnon Shashua
• Reinforcement Learning
• Machine Learning
• Introduction to Applied Bayesian Statistics and Estimation for Social Scientists - Scott M. Lynch
• Bayesian Modeling, Inference and Prediction
• A Course in Machine Learning
• Machine Learning, Neural and Statistical Classification
• Bayesian Reasoning and Machine Learning Book+MatlabToolBox
• R Programming for Data Science

Deep-Learning

• Deep Learning - An MIT Press book
• Deep Learning with Python
• [Deep Learning with JavaScript]-(https://www.manning.com/books/deep-learning-with-javascript) Early access book
• Grokking Deep Learning Early access book

Natural Language Processing

• Coursera Course Book on NLP
• NLTK
• NLP w/ Python
• Foundations of Statistical Natural Language Processing

Information Retrieval

• An Introduction to Information Retrieval

Neural Networks

• A Brief Introduction to Neural Networks
• Neural Networks and Deep Learning

Probability & Statistics

• Think Stats - Book + Python Code
• From Algorithms to Z-Scores - Book
• The Art of R Programming - Book (Not Finished)
• Introduction to statistical thought
• Basic Probability Theory
• Introduction to probability - By Dartmouth College
• Principle of Uncertainty
• Probability & Statistics Cookbook
• Advanced Data Analysis From An Elementary Point of View - Book
• Introduction to Probability - Book and course by MIT

Linear Algebra

• The Matrix Cookbook
• Linear Algebra by Shilov
• Linear Algebra Done Wrong
• Linear Algebra, Theory, and Applications
• Convex Optimization

Calculus

• Calculus Made Easy