| Call Number | 14045 |
|---|---|
| Day & Time Location |
MW 10:10am-11:25am 417 International Affairs Building |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Genevera Allen |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | Prerequisites: STAT GR5206 or the equivalent. The course will provide an introduction to Machine Learning and its core models and algorithms. The aim of the course is to provide students of statistics with detailed knowledge of how Machine Learning methods work and how statistical models can be brought to bear in computer systems - not only to analyze large data sets, but to let computers perform tasks that traditional methods of computer science are unable to address. Examples range from speech recognition and text analysis through bioinformatics and medical diagnosis. This course provides a first introduction to the statistical methods and mathematical concepts which make such technologies possible. |
| Web Site | Vergil |
| Department | Statistics |
| Enrollment | 117 students (160 max) as of 5:06PM Saturday, April 5, 2025 |
| Subject | Statistics |
| Number | GR5241 |
| Section | 001 |
| Division | Interfaculty |
| Open To | GSAS |
| Note | STAT MA & MAFN students only |
| Section key | 20251STAT5241W001 |