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.
29984R048QuizTBATBA412 of 600OFFICEsession dates
200 of 200
Victor AdamchikSGM123feesession dates
30392R048Discussion7:30-8:20pmTuesday202 of 300SGM123session dates
212 of 200
Victor AdamchikSGM123feesession dates
30151R048Discussion7:30-8:20pmThursday210 of 300SGM123session dates
30259D034Lecture5:00-7:20pmThursday14 of 20Victor AdamchikDEN@Viterbifeesession dates
30272R034Discussion7:30-8:20pmThursday14 of 20DEN@Viterbisession dates
29985R034QuizTBATBA14 of 30DEN@Viterbisession dates
Information accurate as of October 10, 2019 1:02 pm.