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
    30068D048Lecture3:30-6:50pmMonday47 of 70Sanjay PurushothamSOSB46feesession dates
    30069R048Discussion5:00-5:50pmWednesday47 of 70THH208session dates
    Information accurate as of 8/12/2016 10:06 AM.