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.
    SectionSessionTypeTimeDaysRegisteredInstructorLocationSyllabusInfo
    30079D048Lecture10:00-11:50amMon, Wed71 of 85Yan LiuOHE132notesession dates
    30081R048DiscussionTBATBA71 of 85OFFICEsession dates
    30265R048QuizTBATBA71 of 85OFFICEsession dates
    30213D034Lecture10:00-11:50amMon, Wed17 of 30Yan LiuDEN@Viterbisession dates
    30264R034DiscussionTBATBA17 of 30DEN@Viterbisession dates
    30266R034QuizTBATBA17 of 30DEN@Viterbisession dates
    30339D048Lecture10:00-11:50amMon, Wed124 of 150Yan LiuONLINEnotesession dates
    30344R048DiscussionTBATBA124 of 150OFFICEsession dates
    30345R048QuizTBATBA124 of 150OFFICEsession dates
    Information accurate as of May 27, 2022 5:02 pm.