| Call Number | 13290 |
|---|---|
| Day & Time Location |
MW 4:10pm-5:25pm To be announced |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Daniel Bienstock |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | MS IEOR students only. Introduction to machine learning, practical use of ML algorithms and applications to financial engineering and operations. Supervised learning: regression, classification, resampling methods, regularization, support vector machines (SVMs), and deep learning. Unsupervised learning: dimensionality reduction, matrix decomposition, and clustering algorithms. |
| Web Site | Vergil |
| Department | Industrial Engineering and Operations Research |
| Enrollment | 0 students (100 max) as of 12:06PM Tuesday, October 14, 2025 |
| Subject | Industrial Engineering and Operations Research |
| Number | E4525 |
| Section | 001 |
| Division | School of Engineering and Applied Science: Graduate |
| Open To | Engineering:Undergraduate, Engineering:Graduate |
| Section key | 20261IEOR4525E001 |