| Call Number | 14000 |
|---|---|
| Day & Time Location |
TR 2:40pm-3:55pm To be announced |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Wayne Lee |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | Prerequisites: STAT UN2103. Students without programming experience in R might find STAT UN2102 very helpful. This course is a machine learning class from an application perspective. We will cover topics including data-based prediction, classification, specific classification methods (such as logistic regression and random forests), and basics of neural networks. Programming in homeworks will require R. |
| Web Site | Vergil |
| Department | Statistics |
| Enrollment | 45 students (86 max) as of 11:06AM Tuesday, December 3, 2024 |
| Subject | Statistics |
| Number | UN3106 |
| Section | 001 |
| Division | Interfaculty |
| Open To | Barnard College, Columbia College, Engineering:Undergraduate, General Studies, Professional Studies |
| Section key | 20251STAT3106W001 |