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.
    29907R902Lecture11:00-1:50pmMWTh58 of 80Victor Adamchikfeesession dates
    29908R902DiscussionTBATBA58 of 100OFFICEsession dates
    29909R902QuizTBATBA58 of 100OFFICEsession dates
    29937D910Lecture11:00-1:50pmMWTh1 of 30Victor AdamchikDEN@Viterbifeesession dates
    29938R910DiscussionTBATBA1 of 30DEN@Viterbisession dates
    29939R910QuizTBATBA1 of 30DEN@Viterbisession dates
    Information accurate as of January 18, 2022 10:58 am.