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Teaching
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CSC 7825: Machine Learning, Winter 2023, 2024, 2025
CSC 7825: Machine Learning, Winter 2023, 2024, 2025
Course Description:
Supervised learning, including regression, kernel-based, tree-based, probability model-based, and ensemble learning; unsupervised learning, including distance-based and model-based; Markov Chain Monte Carlo (MCMC) methods; graphical models; current topics from literature.
CSC 6580: Design and Analysis of Algorithms, Fall 2022, Fall 2023, Fall 2024
CSC 6580: Design and Analysis of Algorithms, Fall 2022, Fall 2023, Fall 2024
Course Description:
Best case, worst case, and expected case complexity analysis; asymptotic approximations; solutions of recurrence equations; probabilistic techniques; divide-and-conquer; the greedy approach; dynamic programming; branch and bound; NP-completeness; parallel algorithms.
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