free-data-science-books.md

Free Data Science Books

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Index

• Data Science in General
• Interviews with Data Scientists
• Forming Data Science Teams
• Data Analysis
• Distributed Computing Tools
• Languages
• Data Mining and Machine Learning
• Statistics and Statistical Learning
• Data Visualization
• Big Data
• Computer Science Topics

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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
• Art of Data Science
  Roger D. Peng & Elizabeth Matsui, 2015

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Interviews with Data Scientists

• The Data Science Handbook
  Carl Shan, Henry Wang, William Chen, & Max Song, 2015
• The Data Analytics Handbook
  Brian Liou, Tristan Tao, & Declan Shener, 2015

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Forming Data Science Teams

• Data Driven: Creating a Data Culture
  Hilary Mason & DJ Patil, 2015
• Building Data Science Teams
  DJ Patil, 2011
• Understanding the Chief Data O�fficer
  Julie Steele, 2015

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Data Analysis

• The Elements of Data Analytic Style
  Jeff Leek, 2015

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Distributed Computing Tools

• Hadoop: The Definitive Guide
  Tom White, 2011
• Data-Intensive Text Processing with MapReduce
  Jimmy Lin & Chris Dyer, 2010

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Learning Languages

Python

• Think Python: How does one Think Like a Computer Scientist
  Allen Downey, 2012
• Python Programming
  Wikibooks, 2015
• Automate the Boring Stuff with Python: Practical Programming for Total Beginners
  Al Sweigart, 2015
• Learn Python the Hard Way
  Zed A. Shaw, 2013
• Dive Into Python 3
  Mark Pilgrim, 2009

R

• R Programming for Data Science
  Roger D. Peng, 2015
• R Programming
  Wikibooks, 2014
• Advanced R
  Hadley Wickham, 2014

SQL

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

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Data Mining and Machine Learning

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

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Statistics and Statistical Learning

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

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Data Visualization

• D3 Tips and Tricks
  Malcolm Maclean, 2015
• Interactive Data Visualization for the Web
  Scott Murray, 2013

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Big Data

• Disruptive Possibilities: How Big Data Changes Everything
  Jeffrey Needham, 2013
• Real-Time Big Data Analytics: Emerging Architecture
  Mike Barlow, 2013
• Big Data Now: 2012 Edition
  O’Reilly Media, Inc., 2012

Computer Science Topics

• **Natural Language Processing with Python **
  Steven Bird, 2009
• **Computer Vision **
  Richard Szeliski, 2010
• **Concise Computer Vision **
  Reinhard Klette, 2010
• Artificial Intelligence A Modern Approach, 1st Edition
  Stuart Russell, 1995

Originally presented on LearnDataSci and further inspired by Free Programming Books.