MSML610
Advanced Machine Learning
The course will cover advanced methods and techniques of machine learning. Topics include Bayesian learning, expectation-maximization algorithms, hidden Markov models, probabilistic graphical models, latent variable modeling, and Markov logic networks. Applications to computer vision and information security will be emphasized.
Fall 2025
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During the Spring 2020 and Spring 2021 semesters, students could choose to take some of their courses pass-fail mid-semester which skews grade data aggregated across multiple semesters.
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