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
    29922D901Lecture10:30-12:35pmMTuWTh29 of 120Victor AdamchikOHE122session dates
    29923R901DiscussionTBATBA29 of 120OFFICEsession dates
    29924R901QuizTBATBA29 of 120OFFICEsession dates
    29925D909Lecture10:30-12:35pmMTuWTh9 of 30Victor AdamchikDEN@Viterbisession dates
    29926R909DiscussionTBATBA9 of 30DEN@Viterbisession dates
    29927R909QuizTBATBA9 of 30DEN@Viterbisession dates
    Information accurate as of January 18, 2024 10:51 am.