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.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
39676D | 001 | Lecture | 2:00-2:50pm | MWF | 17 of 40 | Spencer Gerhardt | KAP163 |