### carnegie mellon university

- (Spring 2016: Guest Lecturer and Teaching Assistant) 10-701 Introduction to Machine Learning
- Taught by Tom Mitchell
- Lecture on gaussian mixture models (GMM): slides and code
- Lecture on co-training and accuracy estimation using unlabeled data: slides
- Lecture reviewing graphical models basics: slides
- Recitation notes on logistic regression and convex optimization

- (Fall 2014: Teaching Assistant) 10-701 Introduction to Machine Learning
- Taught by Geoff Gordon and Aarti Singh
- Graduate-level introduction to machine learning for incoming PhD students
- Introductory recitation on convexity and gradient descent: video
- Recitation notes on some derivations involving matrix calculus

### random stuff