Description
Speaker: Prof. Hrushikesh N. Mhaskar, California Institute of Technology, Pasadena, and Claremont Graduate University, Claremont.
Title: Introduction to machine learning and approximation theory
Abstract: We will point out the relevance of approximation theory to
machine learning problems and review classical concepts of
approximation theory using trigonometric polynomial approximation of
periodic functions as a case study.