 |
EE364A – Convex Optimization I |
John Duchi |
|
CS234 – Reinforcement Learning |
Emma Brunskill |
|
CS221 – Artificial Intelligence: Principles and Techniques |
Reed Preisent |
|
CS228 – Probabilistic Graphical Models / CS236 – Deep Generative Models |
Jeremy Song |
|
CS230 – Deep Learning |
Kian Katanforoosh |
|
CS182 – Ethics, Public Policy, and Technological Change |
Rob Reich |
|
CS224N – Natural Language Processing with Deep Learning |
Abigail See |
|
CS271/BIODS220/BIOMEDIN220 – Artificial Intelligence in Healthcare |
Serena Yeung |
|
CS205L – Continuous Mathematical Methods with an Emphasis on Machine Learning |
Jane Wu |
|
CS237B – Principles of Robot Autonomy II |
Jeanette Bogh |
|
AA228/CS238/AA229/CS239 – Decision Making Under Uncertainty |
Robert Moss |
|
CS348A – Computer Graphics: Geometric Modeling |
Leo Guibas |
|
CS330 – Deep Multi-Task and Meta Learning |
Suraj Nair |
|
CS229T/STATS231 – Statistical Learning Theory |
Leo Mehr |
|
CS224W – Machine Learning with Graphs |
Michele Catasta |
|
CS333 – Safe and Interactive Robotics |
Dylan Losey |
