DNA Research Group

Applied Data Science, Columbia University, Ian Langmore and Daniel Krasner
Understanding Machine Learning: From Theory to Algorithms, Shai Shalev-Shwartz and Shai Ben-David
A Course in Machine Learning, Hal Daume III (draft)
Deep Learning, Yoshua Bengio (draft), 2016
Neural Networks and Deep Learning, Michael Nielsen, 2017
Intermediate Python, Muhammad Yasoob Ullah Khalid, 2015
Think Bayes, Allen B. Downey, Green Tea Press, 2012
The Elements of Statistical Learning, Hastie, Tibshirani, Friedman, Springer, 2011
An Introduction to Statistical Learning James, Witten, Hastie, Tibshirani, Springer 2013
Bayesian Reasoning and Machine Learning, David Barber, Cambridge University Press, 2012.
Introduction to Information Retrieval, Manning, Raghavan and Schutze, Cambridge University Press, 2008.
Mining of Massive Datasets, Rajamaran and Ullman, Cambridge University Press, 2011.
Information Theory, Inference and Learning Algorithms, David Mackay, Cambridge University Press, 2007
Introduction to Machine Learning, Alex Smola, (full draft, very good).
Text Processing in Python, David Mertz, Addison Wesley, 2003.
A whole collection of nice open-access AI books from Intech.
Interactive Data Visualization for the Web (O'Reilly), good book on the d3 javascript library, based on the following tutorials

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