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 |
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2024-25 |
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2023-24 |
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2022-23 |
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2020-21 |
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