Mathematics 547:
Mathematical Foundations of Statistical Learning Theory (3.0 units)
Binary classification, empirical risk minimization, support vector machines, voting algorithms and AdaBoost, Vapnik-Chervonenkis combinatorics, concentration-of-measure inequalities, sparse recovery problems, high-dimensional convex geometry.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 39752R | 060 | Lecture | 10:00-10:50am | MWF | 17 of 30 | Mohamed Ndaoud | ONLINE |  |