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.