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 |