Computer Science 567:

Machine Learning (4.0 units)

Statistical methods for building intelligent and adaptive systems that improve performance from experiences; Focus on theoretical understanding of these methods and their computational implications. Recommended preparation: Undergraduate level training or coursework in linear algebra, multivariate calculus, basic probability and statistics; an undergraduate level course in Artificial Intelligence may be helpful but is not required.
    30079D048Lecture12:00-3:20pmTuesday128 of 220Yan LiuGER124session dates
    30081R048DiscussionTBATBA128 of 220OFFICEsession dates
    30265R048QuizTBATBA128 of 220OFFICEsession dates
    30213D034Lecture12:00-3:20pmTuesday10 of 30Yan LiuDEN@Viterbisession dates
    30264R034DiscussionTBATBA10 of 30DEN@Viterbisession dates
    30266R034QuizTBATBA10 of 30DEN@Viterbisession dates
    Information accurate as of June 3, 2023 4:49 pm.
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