Industrial and Systems Engineering 568:

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.
  • Crosslist: This course is offered by the CSCI department but may qualify for major credit in ISE. To register, enroll in CSCI 567.
SectionSessionTypeTimeDaysRegisteredInstructorLocationSyllabusInfo
29995D073Lecture5:00-7:20pmThursday181 of 200Haipeng LuoONLINEPDF (51546 KB)feesession dates
30151R073Discussion7:30-8:20pmThursday181 of 200ONLINEsession dates
29984R073QuizTBATBA181 of 200ONLINEsession dates
30259D034Lecture5:00-7:20pmThursday6 of 20Haipeng LuoDEN@Viterbifeesession dates
30272R034Discussion7:30-8:20pmThursday6 of 20DEN@Viterbisession dates
29985R034QuizTBATBA6 of 20DEN@Viterbisession dates
Information accurate as of September 23, 2020 11:00 am.
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