Industrial and Systems Engineering 568:
Machine Learning (3.0 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 |
---|---|---|---|---|---|---|---|---|---|
30049D | 048 | Lecture | 2:00-3:20pm | Tue, Thu | 37 of 60 | Yan Liu | GFS116 | ![]() ![]() | |
30095D | 048 | Lecture | 8:30-9:50am | Mon, Wed | 108 of 130 | Fei Sha | MRF340 | PDF (81104 KB) | ![]() ![]() |