Overview on Machine Learning

February 25, 2019
11:00am to 1:00pm

IFT Seminar Room/Red Room

Theoretical Physics, general interest
Bryan Zaldivar

IFT Seminar Room/Red Room


This is the first lecture of an introductory course on Machine Learning, as part of the advanced PhD courses at the IFT. After briefly discussing the history and the different learning paradigms,  the plan is to discuss more in detail the idea of supervised and unsupervised learning. The focus will be on the statistical treatment, the most popular models, as well as commenting some existing applications in theoretical physics and other areas of research.