| Call Number | 17052 |
|---|---|
| Day & Time Location |
W 8:40am-11:25am To be announced |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Genevera Allen |
| Type | RESEARCH SEM |
| 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 | 0 students (10 max) as of 5:06PM Sunday, June 29, 2025 |
| Subject | Statistics |
| Number | GU4244 |
| Section | 001 |
| Division | Interfaculty |
| Open To | Columbia College, Engineering:Undergraduate, General Studies, Professional Studies |
| Note | With instructor permission only |
| Section key | 20253STAT4244C001 |