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数据科学概论
- 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
数据科学家访谈
- The Data Science Handbook
- Carl Shan, Henry Wang, William Chen, & Max Song, 2015
- The Data Analytics Handbook
- Brian Liou, Tristan Tao, & Declan Shener, 2015
创建数据科学团队
- Data Driven: Creating a Data Culture
- Hilary Mason & DJ Patil, 2015
- Building Data Science Teams
- DJ Patil, 2011
- Understanding the Chief Data Officer
- Julie Steele, 2015
数据分析
- The Elements of Data Analytic Style
- Jeff Leek, 2015
分布式计算工具
Hadoop: 权威指南
- Tom White, 2011
- Data-Intensive Text Processing with MapReduce
- Jimmy Lin & Chris Dyer, 2010
程序语言学习
Python
像计算机科学家一样思考 Python
- Allen Downey, 2012
- Python Programming
- Wikibooks, 2015
Python 编程快速上手 让繁琐工作自动化
Al Sweigart, 2015
笨办法学 Python
Zed A. Shaw, 2013
R 语言
- R Programming for Data Science
- Roger D. Peng
- R Programming
- Wikibooks, 2014
高级 R 语言编程指南
- Hadley Wickham, 2014
- SQL
- Learn SQL The Hard Way
- Zed. A. Shaw, 2010
- SQL Tutorial
- Tutorials Point
数据挖掘和机器学习
- Introduction to Machine Learning
- Amnon Shashua, 2008
- Machine Learning
- Abdelhamid Mellouk & Abdennacer Chebira, 450
- Machine Learning The Complete Guide
- Wikipedia
社会媒体挖掘
Reza Zafarani, Mohammad Ali Abbasi, & Huan Liu, 2014
数据挖掘: 实用机器学习工具与技术
Ian H. Witten & Eibe Frank, 2005
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
写给程序员的数据挖掘实践指南
- Ron Zacharski, 2015
- Data Mining with Rattle and R
- Graham Williams, 2011
数据挖掘与分析: 概念与算法
Mohammed J. Zaki & Wagner Meria Jr., 2014
贝叶斯方法: 概率编程与贝叶斯推断
Cam Davidson-Pilon, 2015
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
- 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
信息论推理与学习算法
- 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
深度学习
- Yoshua Bengio, Ian J. Goodfellow, & Aaron Courville, 2015
- Neural Networks and Deep Learning
- Michael Nielsen, 2015
- Data Mining Algorithms In R
- Wikibooks, 2014
- Theory and Applications for Advanced Text Mining
- Shigeaki Sakurai, 2012
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
贝叶斯思维: 统计建模的 Python 学习法
Allen B. Downey, 2012
统计学习导论: 基于 R 应用
- Gareth James, Daniela Witten, Trevor Hastie, & Robert Tibshirani, 2013
- A First Course in Design and Analysis of Experiments
- Gary W. Oehlert, 2010
数据可视化
- D3 Tips and Tricks
- Malcolm Maclean, 2015
数据可视化实战: 使用 D3 设计交互式图表
Scott Murray, 2013
大数据
- Disruptive Possibilities: How Big Data Changes Everything
- Jeffrey Needham, 2013
- Real-Time Big Data Analytics: Emerging Architecture
- Mike Barlow, 2013
- Big Data Now
- OReilly Media, Inc., 2012
计算机科学
Python 自然语言处理
Steven Bird, 2009
计算机视觉: 算法与应用
- Richard Szeliski, 2010
- Concise Computer Vision
- Reinhard Klette, 2010
人工智能: 一种现代的方法
Stuart Russell, 1995
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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