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List of Free Learning Resources for Data Science, Machine Learning & Big Data: According to Github
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- Data Science: An Introduction - Wikibook - Beginner
- Disruptive Possibilities: How Big Data Changes Everything - Jeffrey Needham - Beginner
- Introduction to Data Science - Jeffery Stanton - Beginner
- Real-Time Big Data Analytics: Emerging Architecture - Mike Barlow - Beginner
- The Evolution of Data Products - Mike Loukides - Beginner
- The Promise and Peril of Big Data - David Bollier - Beginner
- Data-Intensive Text Processing with MapReduce - Jimmy Lin and Chris Dyer - Intermediate
- Fundamental Numerical Methods and Data Analysis - George W. Collins - Beginner
- Introduction to Metadata - Murtha Baca - Beginner
- Introduction to R - Notes on R: A Programming Environment for Data Analysis and Graphics - W. N. Venables, D. M. Smith, and the R Core Team - Beginner
- Modeling with Data: Tools and Techniques for Scientific Computing - Ben Klemens - Beginner
- Introduction to Social Network Methods - Robert A. Hanneman and Mark Riddle - Intermediate
- Networks, Crowds, and Markets: Reasoning About a Highly Connected World - David Easley and Jon Kleinberg - Intermediate
- Network Science - Sarah Morrison - Beginner
- The Wealth of Networks - Yochai Benkler - Beginner
- Advanced Data Analysis from an Elementary Point of View - Cosma Rohilla Shalizi - Veteran
- An Introduction to R - W. N. Venables, D. M. Smith, and the R Core Team - Beginner
- Analyzing Linguistic Data: a practical introduction to statistics - R. H. Baayan - Beginner
- Applied Data Science - Ian Langmore and Daniel Krasner - Intermediate
- Concepts and Applications of Inferential Statistics - Richard Lowry - Beginner
- Forecasting: Principles and Practice - Rob J. Hyndman and George Athanasopoulos - Intermediate
- Introduction to Probability - Charles M. Grinstead and J. Laurie Snell - Beginner
- Introduction to Statistical Thought - Michael Lavine - Beginner
- OpenIntro Statistics - Second Edition - David M. Diez, Christopher D. Barr, and Mine Cetinkaya-Rundel - Beginner
- simpleR - Using R for Introductory Statistics - John Verzani - Beginner
- Statistics - Beginner
- Think Stats: Probability and Statistics for Programmers v2.0 - Allen B. Downey - Beginner
- Computer Age Statistical Inference: Algorithms, Evidence and Data Science - Bradley Efron and Trevor Hastie - Intermediate
- Data Mining and Analysis: Fundamental Concepts and Algorithms - Mohammed J. Zaki and Wagner Meira Jr. - Intermediate
- Data Mining and Knowledge Discovery in Real Life Applications - Julio Ponce and Adem Karahoca - Beginner
- Data Mining for Social Network Data - Springer - Veteran
- Mining of Massive Datasets - Anand Rajaraman, Jure Leskovec, and Jeffrey D. Ullman - Intermediate
- Knowledge-Oriented Applications in Data Mining - Kimito Funatsu - Intermediate
- New Fundamental Technologies in Data Mining - Kimito Funatsu - Intermediate
- R and Data Mining: Examples and Case Studies - Yanchang Zhao - Beginner
- The Elements of Statistical Learning - Trevor Hastie, Robert Tibshirani, and Jerome Friedman - Intermediate
- Theory and Applications for Advanced Text Mining - Shigeaki Sakurai - Intermediate
- A Course in Machine Learning - Hal Daume - Beginner
- The First Encounter with Machine Learning - Max Welling - Beginner
- Bayesian Reasoning and Machine Learning - David Barber - Veteran
- Gaussian Processes for Machine Learning - Carl Edward Rasmussen and Christopher K. I. Williams - Veteran
- Introduction to Machine Learning - Alex Smola and S.V.N. Vishwanathan - Intermediate
- Probabilistic Programming & Bayesian Methods for Hackers - Cam Davidson-Pilon (main author) - Intermediate
- The LION Way: Machine Learning plus Intelligent Optimization - Robert Battiti and Mauro Brunato - Intermediate
- Thinking Bayes - Allen B. Downey - Beginner
- Sklearn Basics - Beginner
- Deep Learning - Ian Goodfellow, Yoshua Bengio and Aaron Courville - Intermediate
- Introduction to Information Retrieval - Christopher D. Manning, Prabhakar Raghavan, and Hinrich Schutze - Intermediate
- Interactive Data Visualization for the Web - Scott Murray - Beginner
- Plotting and Visualization in Python - Beginner
- Data Journalism Handbook - Jonathan Gray, Liliana Bounegru, and Lucy Chambers - Beginner
- Building Data Science Teams - DJ Patil - Beginner
- Information Theory, Inference, and Learning Algorithms - David MacKay - Intermediate
- Mathematics for Computer Science - Eric Lehman, Thomas Leighton, and Albert R. Meyer - Beginner
- The Field Guide to Data Science - Beginner
- Data Mining with Weka - Ian H. Witten - Intermediate
- Mining Massive Datasets - Jeff Ullman, Jure Leskovec, Anand Rajaraman (Coursera) - Beginner
- Introduction to Data Science - Bill Howe (Coursera) - Beginner
- Introduction to Hadoop and MapReduce - Udacity - Beginner
- Machine Learning - Andrew Ng (Coursera) - Beginner
- Machine Learning Video Library - Yaser Abu-Mostafa - Intermediate
- Natural Language Processing - Dan Jurafsky and Christopher Manning (Coursera) - Intermediate
- Social and Economic Networks: Models and Analysis - Matthew O. Jackson (Coursera) - Intermediate
- Social Network Analysis - Lada Adamic (Coursera) - Intermediate