Stanford Courses
- CS229 Machine Learning, Fall 2024, co-taught with Moses Charikar and Andrew Ng
- CS281 Ethics of Artificial Intelligence, Spring 2024
- CS229 Machine Learning, Fall 2023, co-taught with Moses Charikar and Andrew Ng
- CS281 Ethics of Artificial Intelligence, Spring 2023
- CS229 Machine Learning, Fall 2022, co-taught with Moses Charikar and Andrew Ng
- CS281 Ethics of Artificial Intelligence, Spring 2022
- CS229 Machine Learning, Fall 2021, co-taught with Moses Charikar and Andrew Ng
Machine Learning Specialization on Coursera
Emily Fox and I created a 4-course machine learning specialization on Coursera, providing the fundamentals of ML for folks with no background in the area, and with basic programming and math skills. Through a series of practical case studies, learners gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, Information Retrieval, and deep learning.
- Machine Learning Foundations: A Case Study Approach
- Regression
- Classification
- Clustering and Retrieval
Previous Teaching at University of Washington
- CSE546 Machine Learning, Fall 2014
- CSEP546 Machine Learning – Professional Masters Program, Winter 2014
- CSE546 Machine Learning, Fall 2013
- CSE446 Machine Learning, Spring 2013
- CSE599/STAT592 Machine Learning for Big Data, Winter 2013, co-teaching with Emily Fox
Previous Teaching at Carnegie Mellon University
- 10-725 Optimization, Spring 2010, co-teaching with Geoff Gordon
- 10-701/15-781 Machine Learning, Fall 2009
- 10-615/60-411 New Media Installation: Art that Learns, Spring 2009, co-teaching with Osman Khan
- 10-708 Probabilistic Graphical Models, Fall 2008
- 10-725 Optimization, Spring 2008, co-teaching with Geoff Gordon
- 10-701/15-781 Machine Learning, Fall 2007
- 10-701/15-781 Machine Learning, Spring 2007
- 10-708 Probabilistic Graphical Models, Fall 2006
- 10-701/15-781 Machine Learning, Spring 2006
- 10-708 Probabilistic Graphical Models, Fall 2005, co-teaching with Eric Xing
- 10-701/15-781 Machine Learning, Spring 2005, co-teaching with Tom Mitchell
