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
    30095D048Lecture8:00-9:50amWed, Fri123 of 140Yan LiuMRF340feesession dates
    30178R048Discussion5:00-5:50pmThursday28 of 30GFS222session dates
    30179R048Discussion6:00-6:50pmThursday17 of 30GFS222session dates
    30182R048Discussion5:00-5:50pmWednesday27 of 30GFS223session dates
    30184R048Discussion6:00-6:50pmWednesday27 of 30GFS223session dates
    30185R048Discussion7:00-7:50pmThursday24 of 30GFS222session dates
    Information accurate as of March 7, 2016 8:09 am.