Computer Science 567:
Machine Learning (4.0 units)
Statistical methods for building intelligent and adaptive systems that improve performance from experiences; Focus on theoretical understanding of these methods and their computational implications. Recommended preparation: Undergraduate level training or coursework in linear algebra, multivariate calculus, basic probability and statistics; an undergraduate level course in Artificial Intelligence may be helpful but is not required.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 30068D | 048 | Lecture | 3:30-6:50pm | Monday | 47 of 70 | Sanjay Purushotham | SOSB46 |   | |
| 30069R | 048 | Discussion | 5:00-5:50pm | Wednesday | 47 of 70 | THH208 | |