# Notes on Probability Theory

These pages collect some notes on probability theory for my students in various classes.

They are intended to be a table of contents and (eventually) a primer on the elements of probability theory that show up in my exposition and research on machine learning and data science concepts.

## Pages

- Quick Reference — a cheat sheet of probability facts

## Additional Readings

- Mathematics for Machine Learning (chapter 6)
- Jeremy Kun's tutorials
- Mark Paskin's slides
- Michael Betancourt's reference (good and thorough)