New: guide to undergraduate Machine Learning education @ Princeton
Princeton:
- Introduction to Machine Learning, COS 324, fall 2017-2018
- Unsupervised Learning: Theory and Practice, COS 598E, spring 2016-2017
- Machine Learning and Artificial Ingelligence, COS 402, fall 2016-2017
- Theoretical Machine Learning, COS 511, spring 2015-2016
- Theoretical Machine Learning, COS 511, spring 2014-2015
Technion:
- Machine Learning and Online Optimization 12-13
- Simulation 12-13
- Polynomial time algorithms for linear programming
- Decision Analysis 11-12
- Simulation 11-12
- Decision Analysis 10-11
- Simulation 10-11