Books
The best books on Data Science, Big Data, Data Mining, Machine Learning, Python, R, SQL, NoSQL and more.
4.4 (6616 Ratings)The Visual Display of Quantitative Information
Theory and practice in the design of data graphics, 250 illustrations of the best (and a few of the worst) statistical graphics, with detailed analysis of how to display data for precise, effective, quick analysis.
4.2 (586 Ratings)Artificial Intelligence A Modern Approach, 1st Edition
Comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. Number one in its field, this textbook is ideal for one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence.
3.6 (296 Ratings)Think Stats: Exploratory Data Analysis in Python
This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.
4.3 (278 Ratings)Data Analysis Using Regression and Multilevel/Hierarchical Models
Data Analysis Using Regression and Multilevel/Hierarchical Models is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models.
3.8 (276 Ratings)Dive Into Python 3
This is a hands-on guide to Python 3 and its differences from Python 2. Each chapter starts with a real, complete code sample, picks it apart and explains the pieces, and then puts it all back together in a summary at the end.
4.0 (229 Ratings)Data Mining: Practical Machine Learning Tools and Techniques
Offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations.
3.4 (189 Ratings)Big Data Now: 2012 Edition
This is not just a technical book or just a business guide. Data is ubiquitous and it doesn't pay much attention to borders, so we've calibrated our coverage to follow it wherever it goes.
4.2 (80 Ratings)Understanding Machine Learning: From Theory to Algorithms
The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way.
3.9 (64 Ratings)Think Bayes: Bayesian Statistics Made Simple
Think Bayes is an introduction to Bayesian statistics using computational methods. The premise of this book, and the other books in the Think X series, is that if you know how to program, you can use that skill to learn other topics.
3.5 (27 Ratings)Graph Databases
Get started with O'Reilly's Graph Databases and discover how graph databases can help you manage and query highly connected data.