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 a 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
