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