| Call Number | 12340 |
|---|---|
| Day & Time Location |
TR 8:40am-9:55am 614 Schermerhorn Hall [SCH] |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Anish Agarwal |
| 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 | 43 students (120 max) as of 10:06AM Sunday, April 28, 2024 |
| Subject | Industrial Engineering and Operations Research |
| Number | E4525 |
| Section | 001 |
| Division | School of Engineering and Applied Science: Graduate |
| Open To | Engineering:Undergraduate, Engineering:Graduate |
| Campus | Morningside |
| Section key | 20233IEOR4525E001 |