Books
The best books on Data Science, Big Data, Data Mining, Machine Learning, Python, R, SQL, NoSQL and more. Sorted by popularity.
4.1 (25 Ratings)The Data Science Handbook
The Data Science Handbook is a compilation of in-depth interviews with 25 remarkable data scientists, where they share their insights, stories, and advice.
4.2 (377 Ratings)Python Cookbook
If you need help writing programs in Python 3, or want to update older Python 2 code, this book is just the ticket. Packed with practical recipes written and tested with Python 3.3. For experienced Python developers.
3.9 (132 Ratings)Learn Python the Hard Way
This is a free sample of Learn Python 2 The Hard Way with 8 exercises and Appendix A available for you to review.
4.3 (1444 Ratings)Automate the Boring Stuff with Python: Practical Programming for Total Beginners
Practical programming for total beginners. In Automate the Boring Stuff with Python, you'll learn how to use Python to write programs that do in minutes what would take you hours to do by hand-no prior programming experience required.
4.4 (68 Ratings)Computer Age Statistical Inference: Algorithms, Evidence and Data Science
The book integrates methodology and algorithms with statistical inference, and ends with speculation on the future direction of statistics and data science.
4.2 (331 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.
4.5 (380 Ratings)Information Theory, Inference, and Learning Algorithms
"Essential reading for students of electrical engineering and computer science; also a great heads-up for mathematics students concerning the subtlety of many commonsense questions." Choice
4.1 (119 Ratings)Probabilistic Programming & Bayesian Methods for Hackers
illuminates Bayesian inference through probabilistic programming with the powerful PyMC language and the closely related Python tools NumPy, SciPy, and Matplotlib. Using this approach, you can reach effective solutions in small increments.
4.3 (244 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.
4.2 (98 Ratings)Computer Vision
Challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which you can use on you own personal media