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
    29922D901Lecture12:00-2:05pmMTuWTh65 of 120Victor AdamchikOHE122session dates
    29923R901DiscussionTBATBA65 of 120OFFICEsession dates
    29924R901QuizTBATBA65 of 120OFFICEsession dates
    29925D909Lecture12:00-2:05pmMTuWTh9 of 30Victor AdamchikDEN@Viterbisession dates
    29926R909DiscussionTBATBA9 of 30DEN@Viterbisession dates
    29927R909QuizTBATBA9 of 30DEN@Viterbisession dates
    Information accurate as of January 23, 2023 1:44 pm.
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