ENGN2520
Pattern Recognition and Machine Learning
- Instructor(s):
-
Pedro Felzenszwalb - Course Home Page:
| Location: | Barus & Holley 159 |
| Meeting Time: | K: TTh 2:30-3:50 |
| Exam Group: | 11 |
| Semester: | 2 (Spring) |
| Offered This Year? | Yes |
| When Offered? | Every Year |
Description
This course covers fundamental topics in pattern recognition and machine learning. We will consider applications in computer vision, signal processing, speech recognition and information retrieval. Topics include: decision theory, parametric and non-parametric learning, dimensionality reduction, graphical models, exact and approximate inference, semi-supervised learning, generalization bounds and support vector machines. Prerequisites: basic probability, linear algebra, calculus and some programming experience.
CRN: 27449