# Courses

Some of my favorite artifacts from courses I’ve taught:

- Probability, Statistics, and Machine Learning: notebooks and videos
- Probability, Statistics, and Machine Learning: cheatsheet
- Multivariable Calculus book
- Notes on complex variables, differential equations, and Fourier series
- Notes on probability

## Course Pages

- DATA 1010 (math for data science) (Fall 2021)
- DATA 2040 (deep learning) (Spring 2019)
- DATA 1010 (math for data science) (Fall 2018)
- Math 0350 (multivariable calculus) at Brown (Fall 2017)
- Math 0520 (linear algebra) at Brown (Spring 2017)
- Math 0190 (calculus+complex+DE+Fourier) at Brown (Fall 2016)
- Math 1610 (probability) at Brown (Fall 2015)
- Recitation for 18.022 Multivariate Calculus at MIT (Fall 2014)