Units: 4 Terms Offered: SpSmMathematical 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 226 or MATH 229) and (MATH 208 or MATH 407) and MATH 225 Instruction Mode: Lecture Grading Option: Letter
You must be logged in to post a comment.