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
    30079D048Lecture10:00-11:50amWed, Fri77 of 85Sirisha RambhatlaOHE132 & ONLINEfeesession dates
    30081R048DiscussionTBATBA77 of 85OFFICE & ONLINEsession dates
    30265R048QuizTBATBA77 of 85OFFICE & ONLINEsession dates
    30213D034Lecture10:00-11:50amWed, Fri6 of 15Sirisha RambhatlaDEN@Viterbifeesession dates
    30264R034DiscussionTBATBA6 of 15DEN@Viterbisession dates
    30266R034QuizTBATBA6 of 15DEN@Viterbisession dates
    Information accurate as of September 10, 2021 5:03 pm.
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