# teaching

###### classes, workshops, and teaching material

### carnegie mellon university

##### Introduction to Machine Learning

10-701

###### Spring 2016: Guest Lecturer / Teaching Assistant

- Graduate-level introduction to machine learning course 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

##### Introduction to Machine Learning

10-701

###### Fall 2014: Teaching Assistant

- Graduate-level introduction to machine learning course taught by Geoff Gordon and Aarti Singh.
- — Lecture on co-training and accuracy estimation using unlabeled data:
- — Lecture reviewing graphical models basics: slides
- — Introductory recitation on convexity and gradient descent: video
- — Recitation notes on some derivations involving matrix calculus

### random stuff

Some notes on writing Python libraries.