- Crowd-scribing sign-up sheet (access with a CMU account)

- Crowd-scribed class notes (read-only; ask for edit link if in class)

- The Elements of Statistical Learning: Data Mining, Inference and Prediction. Trevor Hastie, Robert Tibshirani, Jerome Friedman.

- An Introduction to Statistical Learning: With Applications in R. Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani.

- Foundations of Machine Learning. Mehryar Mohri, Afshin Rostamizadeh, and Ameet Talwalkar.

- Videos of Larry Wasserman's 36-705 course

- Linear algebra review, videos by Zico Kolter

- Real analysis, calculus, and more linear algebra, videos by Aaditya Ramdas

- Convex optimization prequisites review from Spring 2015 course, by Nicole Rafidi

- See also Appendix A of Boyd and Vandenberghe (2004) for general mathematical review