Description
This course provides an undergraduate-level introduction to Statistical Learning. It address problems such as classification and detection, parameter and model estimation, or clustering, which are common in signal processing, communications, image processing, computer vision, artificial intelligence, speech analysis and recognition, data-mining, computational biology, bio-informatics, etc.
General Information
Class website
| Name | Office Hours | |
|---|---|---|
Nuno Vasconcelos | When? Where? | |
Zheng WEI | When? Where? | |
Akshaya Purohit | When? Where? |