60+本有關數據科學、數據挖掘、機器學習等等免費電子書
電子書的一大集合（其中大部分都可以在亞馬遜購買實體版）主題是關于數據科學，商業分析，數據挖掘，大數據，機器學習，算法，數據科學工具和數據科學編程語言。
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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- 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
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- 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 O?fficer
Julie Steele, 2015
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- The Elements of Data Analytic Style
[Buy on Amazon] Jeff Leek, 2015
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- Hadoop: The Definitive Guide
[Buy on Amazon] Tom White, 2011
- Data-Intensive Text Processing with MapReduce
[Buy on Amazon] Jimmy Lin & Chris Dyer,2010
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- 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
- Dive Into Python 3
[Buy on Amazon] Mark Pilgrim, 2009
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- R Programming for Data Science
Roger D. Peng, - R Programming
Wikibooks, 2014 - Advanced R
[Buy on Amazon] Hadley Wickham, 2014
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- Learn SQL The Hard Way
Zed. A. Shaw, 2010 - SQL Tutorial
Tutorials Point
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- 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’s 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 - Theory and Applications for Advanced Text Mining
Shigeaki Sakurai, 2012
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- 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
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- D3 Tips and Tricks
[Buy on Amazon] Malcolm Maclean, 2015
- Interactive Data Visualization for the Web
[Buy on Amazon] Scott Murray, 2013
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- 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
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- 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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來自：http://www.learndatasci.com/free-books/
Interviews with Data Scientists
Forming Data Science Teams
Data Analysis
Distributed Computing Tools
Learning Languages
Python
R
SQL
Data Mining and Machine Learning
Statistics and Statistical Learning
Data Visualization
Big Data
Computer Science Topics
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