STAT740 Foundation of Statistical Machine Leanring - Fall 2020
- Syllabus
- Office Hour: TR 11:00am-12:00pm or by appointment; a zoom link will be send for office hour.
- Lecture notes
- Recommeded Textbooks
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The Elements of Statistical Learning. Hastie, Tibshirani, and Friedman. Springer, 2009 (2nd
Edition). 1st Edition is in 2001.
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Statistics for High-Dimensional Data: Methods, Theory and Applications. Buuhlmann and
Van de Geer. Springer, 2011.
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Foundations of Machine Learning. Mohri, Rostamizadeh, and Talwalkar. The MIT Press,
2012.
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Understanding Machine Learning: From Theory to Algorithms. Shalev-Shwartz and Ben-
David. Cambridge University Press, 2014.
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Statistical Learning with Sparsity: The Lasso and Generalizations. Hastie, Tibshirani, and
Wainwright. Chapman and Hall/CRC, 2015.
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An Introduction to Statistical Learning: with Applications in R. James, Witten, Hastie, and
Tibshirani. Springer, 2017 (7th Edition). 1st Edition is in 2013.
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High-Dimensional Probability: An Introduction with Applications in Data Science. Vershynin.
Cambridge University Press, 2018.
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High-Dimensional Statistics: A Non-Asymptotic Viewpoint. Wainwright. Cambridge University
Press, 2019.