MATH 490 XGR - Math of Machine Learning

Summer 2023

TitleSectionCRNTypeHoursTimesDaysLocationInstructor
Computational MathXGR33321ONL3 -    Randy McCarthy, III

Course Description

Machine learning is a growing field at the intersection of probability, statistics, optimization, and computer science, which aims to develop algorithms for making predictions based on data. This course will cover foundational models and mathematics for machine learning, including statistical learning theory and neural networks with a project component.

Credit Hours

3 hours

Prerequisites

MATH 461 or STAT 410 and one of CS 101 or CS 125 or equivalent.

Subject Area

  • Mathematics for Engineers