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.
