Vladislav Us
Изба читальня. 58 бесплатных книг на английском по большим данным, дата майнингу, машинному обучению
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
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
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 Officer - Julie Steele, 2015
Data Analysis
The Elements of Data Analytic Style - Jeff Leek, 2015
Distributed Computing Tools
Hadoop: The Definitive Guide -Tom White, 2011
Data-Intensive Text Processing with MapReduce - Jimmy Lin & Chris Dyer, 2010
Learning Languages
Python
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 - Al Sweigart, 2015
Learn Python the Hard Way - Zed A. Shaw, 2013
R
R Programming for Data Science - Roger D. Peng,
R Programming - Wikibooks, 2014
Advanced R - Hadley Wickham, 2014
SQL
Learn SQL The Hard Way - Zed. A. Shaw, 2010
SQL Tutorial - Tutorials Point
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 - Reza Zafarani, Mohammad Ali Abbasi, & Huan Liu, 2014
Data Mining: Practical Machine Learning Tools and Techniques - Ian H. Witten & Eibe Frank, 2005
Mining of Massive Datasets -Jure Leskovec, Anand Rajaraman, & Jeff Ullman, 2014A 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
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
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
Data Visualization
D3 Tips and Tricks - Malcolm Maclean, 2015
Interactive Data Visualization for the Web - Scott Murray, 2013
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
Artificial Intelligence A Modern Approach, 1st Edition - Stuart Russell, 1995
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