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
    29930D902Lecture12:00-2:50pmMWTh62 of 90Victor AdamchikOHE132feesession dates
    29931R902DiscussionTBATBA62 of 90OFFICEsession dates
    29962R902QuizTBATBA62 of 90OFFICEsession dates
    30036D910Lecture12:00-2:50pmMWTh4 of 15Victor AdamchikDEN@Viterbifeesession dates
    30037R910DiscussionTBATBA4 of 15DEN@Viterbisession dates
    30038R910QuizTBATBA4 of 15DEN@Viterbisession dates
    Information accurate as of February 15, 2021 4:52 pm.
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