### Mathematics 447:

## Mathematics of Machine Learning (4.0 units)

Mathematical aspects of Machine Learning. PAC Learning, VC-dimension and complexity. Linear predictors (regression, perceptron, SVM). Convex learning and gradient descent. Neural networks and backpropagation.

**Prerequisite:**1 from (MATH 226 or MATH 227 or MATH 229) and 1 from (MATH 208 or MATH 407) and 1 from (MATH 225 or MATH 245)

Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|

39676D | 001 | Lecture | 2:00-2:50pm | MWF | 36 of 40 | Stanislav Minsker | KAP163 | PDF (146126 KB) |