| Call Number | 15662 |
|---|---|
| Day & Time Location |
R 1:00pm-3:50pm To be announced |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Min Qian |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | The aim of this course is to provide students a systematic training in key topics in modern supervised statistical learning and data mining. For the most part, the focus will remain on a theoretically sound understanding of the methods (learning algorithms) and their applications in complex data analysis, rather than proving technical theorems. Applications of the statistical learning and data mining tools in biomedical and health sciences will be highlighted. |
| Web Site | Vergil |
| Department | Biostatistics |
| Enrollment | 38 students (40 max) as of 11:06AM Tuesday, December 3, 2024 |
| Subject | Biostatistics |
| Number | P9120 |
| Section | 001 |
| Division | School of Public Health |
| Open To | GSAS, Public Health |
| Section key | 20243BIST9120P001 |