Duke’s Cynthia Rudin, PhD, Professor of Computer Science, Electrical and Computer Engineering, and Statistical Science and Principal Investigator of the Prediction Analysis Lab, will present a mini-course on the mathematics of machine learning in May of 2020 as part of the Institute for Advanced Study’s 2020 Program for Women and Mathematics.
Professor Rudin will present the Terng Lecture, titled “Introduction to Interpretable Machine Learning.” This short course explores the fundamental elements of supervised machine learning, including sparse decision trees and interpretable neural networks. Prerequisites for the course include undergraduate-level linear algebra, probability theory, and introductory computer science.
The program will take place on the IAS campus in Princeton, New Jersey, from May 16-22, 2020. Support for lodging, meals, and transportation is available. The application period opens on November 1, 2019 and closes on February 17, 2020.
For more details, including guidelines for application, visit the IAS Women and Mathematics program website: http://www.math.ias.edu/wam/about/appguide.