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.
    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 September 23, 2020 11:00 am.
    The Fall 2020 semester will begin with fully remote instruction, with limited exceptions for clinical education. Faculty will contact students to provide information to login to classes. Read more.