MATH 447 Mathematics of Machine Learning

Units: 4
Terms Offered: FaSp

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: (MATH 226g or MATH 227 or MATH 229) and (MATH 208x or MATH 407) and (MATH 225 or MATH 245)
Instruction Mode: Lecture
Grading Option: Letter