| Call Number | 14601 |
|---|---|
| Day & Time Location |
TR 8:40am-9:55am To be announced |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Yoonhaeng Hur |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | Description. Unsupervised Learning is a masters level course on foundations, methods, practice, and applications in machine learning from data without associated labels or outcomes. This course will focus on dimension reduction and clustering techniques while also covering graphical models, missing data imputation, anomaly detection, generative models, and others. The course will also emphasize conceptual understanding and practical applications of unsupervised learning in data visualization, exploratory data analysis, data pre-processing, and data-driven discovery. |
| Web Site | Vergil |
| Department | Statistics |
| Enrollment | 6 students (25 max) as of 12:06PM Tuesday, April 21, 2026 |
| Subject | Statistics |
| Number | GU4244 |
| Section | 001 |
| Division | Interfaculty |
| Open To | Columbia College, Engineering:Undergraduate, Engineering:Graduate, GSAS, General Studies, Professional Studies |
| Section key | 20263STAT4244C001 |