CSE290C: Advanced Topics in Machine Learning

In-depth study of current research topics in machine learning. Topics vary from year to year but include multi-class learning with boosting and SUM algorithms, belief nets, independent component analysis, MCMC sampling, and advanced clustering methods. Students read and present research papers; theoretical homework in addition to a research project.

5 credits

Year	Fall	Winter	Spring	Summer
2024-25	Section 01 Razvan Marinescu (ramarine)	Section 01 Yuyin Zhou (yzhou284)	Section 01 Yang Liu (yangliu)
2023-24		Section 01 Yang Liu (yangliu)	Section 01 Leilani H. Gilpin (lgilpin)
2022-23			Section 01 Razvan Marinescu (ramarine)
2020-21			Section 01 Eric Wang (xwang366)

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Formerly CMPS 290C

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