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
    30049D048Lecture2:00-3:50pmMon, Wed28 of 40Yan LiuWPH207notefeesession dates
    30095D048Lecture10:00-11:50amMon, Wed130 of 140Yan LiuMRF340notefeesession dates
    30178R048Discussion4:00-4:50pmFriday158 of 180SAL101notesession dates
    Information accurate as of October 27, 2016 5:33 pm.