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
    29995D073Lecture5:00-7:20pmThursday180 of 200Haipeng LuoONLINEPDF (51546 KB)feesession dates
    30151R073Discussion7:30-8:20pmThursday180 of 200ONLINEsession dates
    29984R073QuizTBATBA180 of 200ONLINEsession dates
    30259D034Lecture5:00-7:20pmThursday6 of 20Haipeng LuoDEN@Viterbifeesession dates
    30272R034Discussion7:30-8:20pmThursday6 of 20DEN@Viterbisession dates
    29985R034QuizTBATBA6 of 20DEN@Viterbisession dates
    Information accurate as of March 15, 2021 8:10 am.
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