Spring 2021 STAT 37791

Course: STAT 37791

Title: Topics in Machine Learning

Instructor(s): Yuehaw Khoo

Teaching Assistant(s): TBA

Class Schedule: Section 1: MW 10:20 AM–12:20 PM (TBD)

Description: This course covers selected topics in dimension reduction, randomized algorithm, sparsity, convex optimization, and deep learning, with a focus on scientific computing.

Prerequisite(s): Enrolled PhD or MS student in Statistics or in Computational and Applied Mathematics, or consent of instructor.