60+ Free Books on Data Science, Big Data, Data Mining, Machine Learning that Everyone Should Read!

By Kimberly Cook |Email | Sep 15, 2018 | 106803 Views

Here is a great collection of eBooks written on the topics of Data Science, Business Analytics, Data Mining, Big Data, Machine Learning, Algorithms, Data Science Tools, and Programming Languages for Data Science.

Pulled from the web, here is a great collection of eBooks. While every single book in this list is provided for free if you find any particularly helpful consider purchasing the printed version. The authors spent a great deal of time putting these resources together and I'm sure they would all appreciate the support!

Data Science in General
An Introduction to Data Science
Jeffrey Stanton, 2013

School of Data Handbook
School of Data, 2015
Data Jujitsu: The Art of Turning Data into Product
DJ Patil, 2012

Interviews with Data Scientists
The Data Science Handbook
[Buy on Amazon]
Carl Shan, Henry Wang, William Chen, & Max Song, 2015

The Data Analytics Handbook
Brian Liou, Tristan Tao, & Declan Shener, 2015

Forming Data Science Teams
Data Driven: Creating a Data Culture
[Buy on Amazon]
Hilary Mason & DJ Patil, 2015

Building Data Science Teams
[Buy on Amazon]
DJ Patil, 2011
Understanding the Chief Data Officer
Julie Steele, 2015

Data Analysis
The Elements of Data Analytic Style
[Buy on Amazon]
Jeff Leek, 2015

Distributed Computing Tools
Hadoop: The Definitive Guide
[Buy on Amazon]
Tom White, 2011
Data-Intensive Text Processing with MapReduce
[Buy on Amazon]
Jimmy Lin & Chris Dyer, 2010

Learning Languages Python

Think Python: How to Think Like a Computer Scientist
Allen Downey, 2012
Python Programming
Wikibooks, 2015
Automate the Boring Stuff with Python: Practical Programming for Total Beginners
[Buy on Amazon]
Al Sweigart, 2015
Learn Python the Hard Way
[Buy on Amazon]
Zed A. Shaw, 2013

R
R Programming for Data Science 
Roger D. Peng, 
R Programming 
Wikibooks, 2014
Advanced R
[Buy on Amazon]
Hadley Wickham, 2014

SQL
Learn SQL The Hard Way
Zed. A. Shaw, 2010
SQL Tutorial 
Tutorials Point

Data Mining and Machine Learning
Introduction to Machine Learning 
Amnon Shashua, 2008
Machine Learning
Abdelhamid Mellouk & Abdennacer Chebira, 450
Machine Learning The Complete Guide
Wikipedia
Social Media Mining An Introduction
[Buy on Amazon]
Reza Zafarani, Mohammad Ali Abbasi, & Huan Liu, 2014
Data Mining: Practical Machine Learning Tools and Techniques
[Buy on Amazon]
Ian H. Witten & Eibe Frank, 2005
Mining of Massive Datasets
[Buy on Amazon]
Jure Leskovec, Anand Rajaraman, & Jeff Ullman, 2014
A Programmer Guide to Data Mining
Ron Zacharski, 2015
Data Mining with Rattle and R
[Buy on Amazon]
Graham Williams, 2011
Data Mining and Analysis: Fundamental Concepts and Algorithms
[Buy on Amazon]
Mohammed J. Zaki & Wagner Meria Jr., 2014
Probabilistic Programming & Bayesian Methods for Hackers
[Buy on Amazon]
Cam Davidson-Pilon, 2015
Data Mining Techniques For Marketing, Sales, and Customer Relationship Management
[Buy on Amazon]
Michael J.A. Berry & Gordon S. Linoff, 2004
Inductive Logic Programming: Techniques and Applications
[Buy on Amazon]
Nada Lavrac & Saso Dzeroski, 1994
Pattern Recognition and Machine Learning
[Buy on Amazon]
Christopher M. Bishop, 2006
Machine Learning, Neural and Statistical Classification
[Buy on Amazon]
D. Michie, D.J. Spiegelhalter, & C.C. Taylor, 1999
Information Theory, Inference, and Learning Algorithms
[Buy on Amazon]
David J.C. MacKay, 2005
Data Mining and Business Analytics with R
[Buy on Amazon]
Johannes Ledolter, 2013
Bayesian Reasoning and Machine Learning
[Buy on Amazon]
David Barber, 2014
Gaussian Processes for Machine Learning
[Buy on Amazon]
C. E. Rasmussen & C. K. I. Williams, 2006
Reinforcement Learning: An Introduction
[Buy on Amazon]
Richard S. Sutton & Andrew G. Barto, 2012
Algorithms for Reinforcement Learning
[Buy on Amazon]
Csaba Szepesvari , 2009
Big Data, Data Mining, and Machine Learning
[Buy on Amazon]
Jared Dean, 2014
Modeling With Data
[Buy on Amazon]
Ben Klemens, 2008
KB Neural Data Mining with Python Sources
[Buy on Amazon]
Roberto Bello, 2013
Deep Learning
Yoshua Bengio, Ian J. Goodfellow, & Aaron Courville, 2015
Neural Networks and Deep Learning
Michael Nielsen, 2015
Data Mining Algorithms In R
Wikibooks, 2014
Data Mining and Analysis: Fundamental Concepts and Algorithms
[Buy on Amazon]
Mohammed J. Zaki & Wagner Meira Jr., 2014
Theory and Applications for Advanced Text Mining
Shigeaki Sakurai, 2012

Statistics and Statistical Learning
Think Stats: Exploratory Data Analysis in Python
[Buy on Amazon]
Allen B. Downey, 2014
Think Bayes: Bayesian Statistics Made Simple
[Buy on Amazon]
Allen B. Downey, 2012
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
[Buy on Amazon]
Trevor Hastie, Robert Tibshirani, & Jerome Friedman, 2008
An Introduction to Statistical Learning with Applications in R
[Buy on Amazon]
Gareth James, Daniela Witten, Trevor Hastie, & Robert Tibshirani, 2013
A First Course in Design and Analysis of Experiments
[Buy on Amazon]
Gary W. Oehlert, 2010

Data Visualization
D3 Tips and Tricks
[Buy on Amazon]
Malcolm Maclean, 2015
Interactive Data Visualization for the Web
[Buy on Amazon]
Scott Murray, 2013
Big Data
Disruptive Possibilities: How Big Data Changes Everything [Buy on Amazon]
Jeffrey Needham, 2013
Real-Time Big Data Analytics: Emerging Architecture
[Buy on Amazon]
Mike Barlow, 2013
Big Data Now: 2012 Edition
[Buy on Amazon]
O Reilly Media, Inc., 2012

Computer Science Topics
Natural Language Processing with Python [Buy on Amazon]
Steven Bird, 2009
Computer Vision [Buy on Amazon]
Richard Szeliski, 2010
Concise Computer Vision [Buy on Amazon]
Reinhard Klette, 2010
Artificial Intelligence A Modern Approach, 1st Edition
[Buy on Amazon (3rd Edition)]
Stuart Russell, 1995


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Source: HOB