| Call Number | 13623 |
|---|---|
| Day & Time Location |
TR 2:40pm-3:55pm 332 Uris Hall |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Alex Pijyan |
| 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 | 51 students (50 max) as of 5:08PM Saturday, September 7, 2024 |
| Status | Full |
| Subject | Statistics |
| Number | UN3106 |
| Section | 001 |
| Division | Interfaculty |
| Section key | 20241STAT3106W001 |