Machine learning is the sub-field of computer science concerned with creating programs and machines that can improve from experience and interaction. It relies upon mathematical optimization, statistics, and algorithm design. The talk will be an introduction to machine learning for a mathematical audience. We describe the mathematical formulations of basic types of learning such as supervised, unsupervised, interactive, etc., and the philosophical and scientific issues raised by them.
This is the first of a two-part lecture, the second of which is here.
This video is part of Harvard University‘s two-part Alfors lecture 2018.
