福利：热门技术看什么？这份书单告诉你！（内含PDF链接）

这份书单源自网络。虽然所列图书都是免费提供的，但如果您有深入学习的打算，我还是推荐您购买纸质版书籍。作者花费大量时间整合这些资源，希望得到您的支持与喜爱！

数据科学概论

• An Introduction to Data Science

  
  

Jeffrey Stanton, 2013

阅读地址：

https://docs.google.com/file/d/0B6iefdnF22XQeVZDSkxjZ0Z5VUE/edit?spm=5176.100239.blogcont280230.16.PrHMNS&pli=1

• School of Data Handbook
  

School of Data, 2015

阅读地址：

http://schoolofdata.org/handbook/?spm=5176.100239.blogcont280230.17.PrHMNS

• Data Jujitsu: The Art of Turning Data into Product
  

DJ Patil, 2012

阅读地址:

http://www.oreilly.com/data/free/data-jujitsu.csp?spm=5176.100239.blogcont280230.18.PrHMNS&file=data-jujitsu.csp

数据科学家访谈

• The Data Science Handbook
  

Carl Shan, Henry Wang, William Chen, & Max Song, 2015

阅读地址：

http://www.thedatasciencehandbook.com/?spm=5176.100239.blogcont280230.19.PrHMNS#get-the-book

• The Data Analytics Handbook
  

Brian Liou, Tristan Tao, & Declan Shener, 2015

阅读地址：

https://www.teamleada.com/handbook?spm=5176.100239.blogcont280230.20.PrHMNS

创建数据科学团队

• Data Driven: Creating a Data Culture
  

Hilary Mason & DJ Patil, 2015

阅读地址:

http://www.oreilly.com/data/free/data-driven.csp?spm=5176.100239.blogcont280230.21.PrHMNS&file=data-driven.csp

• Building Data Science Teams
  

DJ Patil, 2011

阅读地址：

http://www.oreilly.com/data/free/building-data-science-teams.csp?spm=5176.100239.blogcont280230.22.PrHMNS&file=building-data-science-teams.csp

• Understanding the Chief Data Officer

  
  

Julie Steele, 2015

阅读地址：

http://www.oreilly.com/data/free/files/understanding-chief-data-officer.pdf?spm=5176.100239.blogcont280230.23.PrHMNS&file=understanding-chief-data-officer.pdf

数据分析

• The Elements of Data Analytic Style
  

Jeff Leek, 2015

阅读地址：https://leanpub.com/datastyle?spm=5176.100239.blogcont280230.24.PrHMNS

分布式计算工具

• Hadoop：权威指南

Tom White, 2011

阅读地址：

https://www.ida.liu.se/~TDDD43/themes/themeNOSQLlabs/2009-Hadoop.pdf?spm=5176.100239.blogcont280230.25.PrHMNS&file=2009-Hadoop.pdf

• Data-Intensive Text Processing with MapReduce
  

Jimmy Lin & Chris Dyer, 2010

阅读地址：

https://lintool.github.io/MapReduceAlgorithms/MapReduce-book-final.pdf?spm=5176.100239.blogcont280230.26.PrHMNS&file=MapReduce-book-final.pdf

程序语言学习

Python

• 像计算机科学家一样思考Python

  
  

Allen Downey, 2012

阅读地址：

http://www.greenteapress.com/thinkpython/thinkpython.pdf?spm=5176.100239.blogcont280230.27.PrHMNS&file=thinkpython.pdf

• Python Programming

  
  

Wikibooks, 2015

阅读地址：

https://en.wikibooks.org/wiki/Python_Programming?spm=5176.100239.blogcont280230.28.PrHMNS

• Python编程快速上手  ——让繁琐工作自动化

Al Sweigart, 2015

阅读地址：

https://automatetheboringstuff.com/?spm=5176.100239.blogcont280230.29.PrHMNS

• “笨办法”学Python

  
  

Zed A. Shaw, 2013

阅读地址：

http://learnpythonthehardway.org/book/?spm=5176.100239.blogcont280230.30.PrHMNS

R语言

• R Programming for Data Science
  

Roger D. Peng

阅读地址：

https://leanpub.com/rprogramming?spm=5176.100239.blogcont280230.31.PrHMNS

• R Programming

  
  

Wikibooks, 2014

阅读地址：

https://en.wikibooks.org/wiki/R_Programming?spm=5176.100239.blogcont280230.32.PrHMNS

• 高级R语言编程指南

  
  

Hadley Wickham, 2014

阅读地址：

http://adv-r.had.co.nz/?spm=5176.100239.blogcont280230.33.PrHMNS

SQL

• Learn SQL The Hard Way

  
  

Zed. A. Shaw, 2010

阅读地址：

http://sql.learncodethehardway.org/book/?spm=5176.100239.blogcont280230.34.PrHMNS

• SQL Tutorial

  
  

Tutorials Point

阅读地址：

http://www.tutorialspoint.com/sql/sql_tutorial.pdf?spm=5176.100239.blogcont280230.35.PrHMNS&file=sql_tutorial.pdf

数据挖掘和机器学习

• Introduction to Machine Learning

  
  

Amnon Shashua, 2008

阅读地址：

http://arxiv.org/pdf/0904.3664.pdf?spm=5176.100239.blogcont280230.36.PrHMNS&file=0904.3664.pdf

• Machine Learning

  
  

Abdelhamid Mellouk & Abdennacer Chebira, 450

阅读地址：

http://www.intechopen.com/books/machine_learning?spm=5176.100239.blogcont280230.37.PrHMNS

• Machine Learning – The Complete Guide
  

Wikipedia

阅读地址：

https://en.wikipedia.org/wiki/Book:Machine_Learning_%E2%80%93_The_Complete_Guide?spm=5176.100239.blogcont280230.38.PrHMNS

• 社会媒体挖掘

  
  

Reza Zafarani, Mohammad Ali Abbasi, & Huan Liu, 2014

阅读地址：

http://dmml.asu.edu/smm/book/?spm=5176.100239.blogcont280230.39.PrHMNS

• 数据挖掘：实用机器学习工具与技术

  
  

Ian H. Witten & Eibe Frank, 2005

阅读地址：

ftp://ftp.ingv.it/pub/manuela.sbarra/Data%20Mining%20Practical%20Machine%20Learning%20Tools%20and%20Techniques%20-%20WEKA.pdf?spm=5176.100239.blogcont280230.40.PrHMNS&file=Data%20Mining%20Practical%20Machine%20Learning%20Tools%20and%20Techniques%20-%20WEKA.pdf

• 大数据：互联网大规模数据挖掘与分布式处理
  

Jure Leskovec, Anand Rajaraman, & Jeff Ullman, 2014

阅读地址：

http://www.mmds.org/?spm=5176.100239.blogcont280230.41.PrHMNS

• 写给程序员的数据挖掘实践指南

  
  

Ron Zacharski, 2015

阅读地址：

http://guidetodatamining.com/?spm=5176.100239.blogcont280230.42.PrHMNS

• Data Mining with Rattle and R

  
  

Graham Williams, 2011

阅读地址：

http://mineriaddatos.wikispaces.com/file/view/Data+Mining+With+Rattle+and+R_+The+Art+of+Excavating+Data+for+Knowledge+Discovery+-+Graham+Williams.pdf?spm=5176.100239.blogcont280230.43.PrHMNS&file=Data+Mining+With+Rattle+and+R_+The+Art+of+Excavating+Data+for+Knowledge+Discovery+-+Graham+Williams.pdf

• 数据挖掘与分析：概念与算法

  
  

Mohammed J. Zaki & Wagner Meria Jr., 2014

阅读地址：

http://www.dataminingbook.info/pmwiki.php/Main/BookDownload?spm=5176.100239.blogcont280230.44.PrHMNS

• 贝叶斯方法：概率编程与贝叶斯推断

  
  

Cam Davidson-Pilon, 2015

阅读地址：

http://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/?spm=5176.100239.blogcont280230.45.PrHMNS

• 数据挖掘技术 ——应用于市场营销、销售与客户关系管理

  
  

Michael J.A. Berry & Gordon S. Linoff, 2004

阅读地址：

http://www.huaat.com/download/2009091Marketing.pdf?spm=5176.100239.blogcont280230.46.PrHMNS&file=2009091Marketing.pdf

• Inductive Logic Programming: Techniques and Applications

  
  

Nada Lavrac & Saso Dzeroski, 1994

阅读地址：

http://www-ai.ijs.si/SasoDzeroski/ILPBook/ILPbook.pdf?spm=5176.100239.blogcont280230.47.PrHMNS&file=ILPbook.pdf

• Pattern Recognition and Machine Learning
  

Christopher M. Bishop, 2006

阅读地址：

http://www.rmki.kfki.hu/~banmi/elte/Bishop%20-%20Pattern%20Recognition%20and%20Machine%20Learning.pdf?spm=5176.100239.blogcont280230.48.PrHMNS&file=Bishop%20-%20Pattern%20Recognition%20and%20Machine%20Learning.pdf

• Machine Learning, Neural and Statistical Classification

  
  

D. Michie, D.J. Spiegelhalter, & C.C. Taylor, 1999

阅读地址：

http://www1.maths.leeds.ac.uk/~charles/statlog/?spm=5176.100239.blogcont280230.49.PrHMNS

• 信息论、推理与学习算法

  
  

David J.C. MacKay, 2005

阅读地址：

http://www.inference.phy.cam.ac.uk/mackay/itprnn/book.html?spm=5176.100239.blogcont280230.50.PrHMNS

• Data Mining and Business Analytics with

  R

  
  

Johannes Ledolter, 2013

阅读地址：

http://www.nataraz.in/data/ebook/hadoop/Data_Mining_and_Business_Analytics_with_R__Johannes_Ledolter.pdf?spm=5176.100239.blogcont280230.51.PrHMNS&file=Data_Mining_and_Business_Analytics_with_R__Johannes_Ledolter.pdf

• Bayesian Reasoning and Machine Learning

  
  

David Barber, 2014

阅读地址：

http://web4.cs.ucl.ac.uk/staff/D.Barber/textbook/240415.pdf?spm=5176.100239.blogcont280230.52.PrHMNS&file=240415.pdf

• Gaussian Processes for Machine Learning
  

C. E. Rasmussen & C. K. I. Williams, 2006

阅读地址：

http://www.gaussianprocess.org/gpml/chapters/RW.pdf?spm=5176.100239.blogcont280230.53.PrHMNS&file=RW.pdf

• Reinforcement Learning: An Introduction
  

Richard S. Sutton & Andrew G. Barto, 2012

阅读地址：

http://people.inf.elte.hu/lorincz/Files/RL_2006/SuttonBook.pdf?spm=5176.100239.blogcont280230.54.PrHMNS&file=SuttonBook.pdf

• Algorithms for Reinforcement Learning

  
  

Csaba Szepesvari , 2009

阅读地址：

http://www.ualberta.ca/~szepesva/papers/RLAlgsInMDPs.pdf?spm=5176.100239.blogcont280230.55.PrHMNS&file=RLAlgsInMDPs.pdf

• Big Data, Data Mining, and Machine Learning

  
  

Jared Dean, 2014

• Modeling With Data

  
  

Ben Klemens, 2008

阅读地址：

http://modelingwithdata.org/about_the_book.html?spm=5176.100239.blogcont280230.56.PrHMNS

• KB – Neural Data Mining with Python Sources

  
  

Roberto Bello, 2013

阅读地址：

http://www.freeopen.org/wp-content/uploads/2013/10/KB_neural_data_mining.pdf?spm=5176.100239.blogcont280230.57.PrHMNS&file=KB_neural_data_mining.pdf

• 深度学习

  
  

Yoshua Bengio, Ian J. Goodfellow, & Aaron Courville, 2015

阅读地址：

http://www.iro.umontreal.ca/~bengioy/dlbook/?spm=5176.100239.blogcont280230.58.PrHMNS

• Neural Networks and Deep Learning

  
  

Michael Nielsen, 2015

阅读地址：

http://neuralnetworksanddeeplearning.com/?spm=5176.100239.blogcont280230.59.PrHMNS

• Data Mining Algorithms In R

  
  

Wikibooks, 2014

阅读地址：

https://en.wikibooks.org/wiki/Data_Mining_Algorithms_In_R?spm=5176.100239.blogcont280230.60.PrHMNS

• Theory and Applications for Advanced Text Mining

  
  

Shigeaki Sakurai, 2012

阅读地址：

http://www.intechopen.com/books/theory-and-applications-for-advanced-text-mining?spm=5176.100239.blogcont280230.61.PrHMNS

统计和统计学习

• 统计思维：程序员数学之概率统计

  
  

Allen B. Downey, 2014

阅读地址：

http://greenteapress.com/thinkstats2/thinkstats2.pdf?spm=5176.100239.blogcont280230.62.PrHMNS&file=thinkstats2.pdf

• 贝叶斯思维：统计建模的Python学习法

  
  

Allen B. Downey, 2012

阅读地址：

http://greenteapress.com/thinkbayes/?spm=5176.100239.blogcont280230.63.PrHMNS

• 统计学习导论：基于R应用

  
  

Gareth James, Daniela Witten, Trevor Hastie, & Robert Tibshirani, 2013

阅读地址：

http://www-bcf.usc.edu/~gareth/ISL/ISLR%20Fourth%20Printing.pdf?spm=5176.100239.blogcont280230.64.PrHMNS&file=ISLR%20Fourth%20Printing.pdf

• A First Course in Design and Analysis of Experiments

  
  

Gary W. Oehlert, 2010

阅读地址：

http://users.stat.umn.edu/~gary/book/fcdae.pdf?spm=5176.100239.blogcont280230.65.PrHMNS&file=fcdae.pdf

数据可视化

• D3 Tips and Tricks

  
  

Malcolm Maclean, 2015

阅读地址：

https://leanpub.com/D3-Tips-and-Tricks?spm=5176.100239.blogcont280230.66.PrHMNS

• 数据可视化实战：使用D3设计交互式图表

Scott Murray, 2013

阅读地址：

http://chimera.labs.oreilly.com/books/1230000000345/index.html?spm=5176.100239.blogcont280230.67.PrHMNS

大数据

• Disruptive Possibilities: How Big Data Changes Everything

  
  

Jeffrey Needham, 2013

阅读地址：

http://hortonworks.com/wp-content/uploads/downloads/2013/04/DisruptivePossibilities.pdf?spm=5176.100239.blogcont280230.68.PrHMNS&file=DisruptivePossibilities.pdf

• Real-Time Big Data Analytics: Emerging Architecture
  

Mike Barlow, 2013

阅读地址：

http://cdn.oreillystatic.com/oreilly/radarreport/0636920028307/Big_Data_Now_2012_Edition.pdf?spm=5176.100239.blogcont280230.70.PrHMNS&file=Big_Data_Now_2012_Edition.pdf

• Big Data Now

  
  

O’Reilly Media, Inc., 2012

阅读地址：

http://cdn.oreillystatic.com/oreilly/radarreport/0636920028307/Big_Data_Now_2012_Edition.pdf?spm=5176.100239.blogcont280230.70.PrHMNS&file=Big_Data_Now_2012_Edition.pdf

计算机科学

• Python自然语言处理

  
  

Steven Bird, 2009

阅读地址：

http://www.nltk.org/book_1ed/?spm=5176.100239.blogcont280230.71.PrHMNS

• 计算机视觉：算法与应用

  
  

Richard Szeliski, 2010

阅读地址：

http://szeliski.org/Book/?spm=5176.100239.blogcont280230.72.PrHMNS

• Concise Computer Vision
  
  

Reinhard Klette, 2010

• 人工智能：一种现代的方法

  
  

Stuart Russell, 1995

阅读地址：

http://www.cin.ufpe.br/~tfl2/artificial-intelligence-modern-approach.9780131038059.25368.pdf?spm=5176.100239.blogcont280230.73.PrHMNS&file=artificial-intelligence-modern-approach.9780131038059.25368.pdf

当看到这里的时候，您即将阅读这些经典的书籍。无论现在处于什么水平，我都希望您有自己的收获！如果有更多好书推荐，欢迎您在下方留言，谢谢！

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