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 |
---|---|---|---|---|---|---|---|---|---|
39669D | 001 | Lecture | 2:00-2:50pm | MWF | 27 of 30 | Guillermo Reyes Souto | GFS222 |