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.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
30079D | 048 | Lecture | 10:00-11:50am | Wed, Fri | 82 of 90 | Yan Liu | OHE132 | ![]() ![]() | |
30081R | 048 | Discussion | TBA | TBA | 82 of 90 | OFFICE | ![]() | ||
30265R | 048 | Quiz | TBA | TBA | 82 of 90 | OFFICE | ![]() | ||
30213D | 034 | Lecture | 10:00-11:50am | Wed, Fri | 15 of 30 | Yan Liu | DEN@Viterbi | ![]() ![]() | |
30264R | 034 | Discussion | TBA | TBA | 15 of 30 | DEN@Viterbi | ![]() | ||
30266R | 034 | Quiz | TBA | TBA | 15 of 30 | DEN@Viterbi | ![]() |