Efficient R Programming
Deep Learning
Regression Modeling Strategies
Reinforcement Learning: An Introduction
Neural Networks and Deep Learning
Speaking Javascript
OpenIntro Statistics
Advanced R Programming
Introduction to Statistical Thought
Think Bayes
Forecasting: principles and practice
An Introduction to R
The R Inferno
Applied Mathematical Programming
Gaussian Processes for Machine Learning
Statistical Mechanics
The Elements of Statistical Learning
Natural Language Processing for the Working Programmer
Natural Language Processing with Python
Probability and Statistics
Introduction to Statistical Thinking
Collaborative Statistics
Principles of Uncertainty
Introduction to Machine Learning
Convex Optimization
Bayesian Reasoning and Machine Learning
Computer Vision: Models, Learning, and Inference
Computer Vision: Algorithms and Applications
Practical Regression and Anova using R
Making Games with Python & PyGame
Invent Your Own Computer Games with Python
Handbook of Applied Cryptography
Mining of Massive Datasets
A Byte of Python
How to Think Like a Computer Scientist
The Open Data Handbook
Think Complexity
Think Python
Introduction to Statistical Signal Processing
Global Optimization Algorithms
Practical PostgreSQL
R Language for Programmers
Using R for Data Analysis and Graphic
Advanced Linux Programming
Information Theory, Inference, and Learning Algorithms
Introduction to Data Science
The Scientist and Engineer's Guide to Digital Signal Processing
Computers and Thought: A practical Introduction to Artificial Intelligence
Interactive Data Visualization for the Web
Conquering the Command Line
Think Stats
Data Journalism Handbook
A Brief Introduction to Neural Networks
A Course in Machine Learning
Deep Learning
Algorithms for Reinforcement Learning
Full Stack Python
Learning Statistics with R
Introduction to Probability
Algorithmic Game Theory
Statistical Data Mining Tutorials