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 408 and (MATH 225 or MATH 235)
Instruction Mode: Lecture
Grading Option: Letter