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
    30260D048Lecture5:00-6:20pmMon, Wed287 of 330Michael ShindlerSGM123PDF (192603 KB)feesession dates
    29994R048Discussion8:00-8:50amFriday26 of 30Selina ChuVHE217session dates
    29995R048Discussion9:00-9:50amFriday29 of 30Selina ChuVHE217session dates
    29996R048Discussion11:00-11:50amFriday20 of 30Selina ChuVHE217session dates
    29997R048Discussion12:00-12:50pmFriday24 of 30Selina ChuVHE217session dates
    30186R048Discussion8:00-8:50amTuesday27 of 30Michael ShindlerKAP163session dates
    30261R048Discussion9:00-9:50amTuesday28 of 30Michael ShindlerKAP163session dates
    30262R048Discussion10:00-10:50amTuesday27 of 30Michael ShindlerKAP167session dates
    30263R048Discussion1:00-1:50pmTuesday29 of 30Michael ShindlerOHE132session dates
    30270R048Discussion1:00-1:50pmFriday29 of 30Olivera GrujicZHS360session dates
    30271R048Discussion2:00-2:50pmFriday25 of 30Olivera GrujicZHS360session dates
    30272R048Discussion3:00-3:50pmFriday20 of 30Olivera GrujicZHS360session dates
    30273R048Discussion4:00-4:50pmFriday3 of 30Olivera GrujicZHS360session dates
    30265R048QuizTBAFriday287 of 331OFFICEnotesession dates
    30213D034Lecture5:00-6:20pmMon, Wed16 of 20Michael ShindlerDEN@ViterbiPDF (192603 KB)feesession dates
    30264R034Discussion1:00-1:50pmTuesday16 of 20DEN@Viterbisession dates
    30266R034Quiz4:00-5:50pmFriday16 of 20DEN@Viterbisession dates
    Information accurate as of October 3, 2018 10:51 am.
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