https://github.com/josephmisiti/awesome-machine-learning/blob/master/books.md

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

Naturual Language Processing

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

Probability & Statistics

• 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

• Linear Algebra Done Wrong
• Linear Algebra, Theory, and Applications
• Convex Optimization
• Applied Numerical Computing
• Applied Numerical Linear Algebra

[book]awesome-machine-learning books