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.
29907R902Lecture11:00-1:50pmMWTh58 of 80Victor Adamchikfeesession dates
29908R902DiscussionTBATBA58 of 100OFFICEsession dates
29909R902QuizTBATBA58 of 100OFFICEsession dates
29937D910Lecture11:00-1:50pmMWTh1 of 30Victor AdamchikDEN@Viterbifeesession dates
29938R910DiscussionTBATBA1 of 30DEN@Viterbisession dates
29939R910QuizTBATBA1 of 30DEN@Viterbisession dates
Information accurate as of January 18, 2022 10:58 am.