| Class Id | 9482 |
| Days | TTh |
| Start time | 11:00 AM |
| End time | 11:50 AM |
| Building | LEWLI |
| Room | 120 |
| Course Id | 4237 |
| Dept and Number | EGR 218 |
| Dept and Number | ELE 218 |
| Dept and Number | PHI 218 |
| Area | EC |
| Title | Learning Theory and Epistemology |
| Description | A broad and accessible introduction to contemporary statistical learning theory as a response to the philosophical problem of induction. It is intended for students of all backgrounds. Topics covered include pattern recognition, the Bayes rule, nearest neighbor methods, neural networks, and support vector machines. |
| Prerequisites | No specific course prerequisites, but the course will require analytical and logical thinking. |
| Professor | Gilbert H. Harman |
| Professor | Sanjeev R. Kulkarni |