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.