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
29922D901Lecture10:30-12:35pmMTuWTh29 of 120Victor AdamchikOHE122session dates
29923R901DiscussionTBATBA29 of 120OFFICEsession dates
29924R901QuizTBATBA29 of 120OFFICEsession dates
29925D909Lecture10:30-12:35pmMTuWTh9 of 30Victor AdamchikDEN@Viterbisession dates
29926R909DiscussionTBATBA9 of 30DEN@Viterbisession dates
29927R909QuizTBATBA9 of 30DEN@Viterbisession dates
Information accurate as of January 18, 2024 10:51 am.