Free Data Science Books
http://www.learndatasci.com/free-books/
Data Science in General
Interviews with Data Scientists
Forming Data Science Teams
Data Analysis
Distributed Computing Tools
Learning Languages
Python
R
SQL
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’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]
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
Big Data
Computer Science Topics
] Carl Shan, Henry Wang, William Chen, & Max Song, 2015
] Hilary Mason & DJ Patil, 2015
] DJ Patil, 2011
] Jeff Leek, 2015
] Tom White, 2011
] Jimmy Lin & Chris Dyer,2010
] Al Sweigart, 2015
] Zed A. Shaw, 2013
] Mark Pilgrim, 2009
] Hadley Wickham, 2014
] Malcolm Maclean, 2015
] Scott Murray, 2013
] Jeffrey Needham, 2013
] Mike Barlow, 2013
] O’Reilly Media, Inc., 2012
] Steven Bird, 2009
] Richard Szeliski, 2010
] Reinhard Klette, 2010
] Stuart Russell, 1995
No comments:
Post a Comment