Math for Machine Learning

4 Credits · Level: Undergraduate

Prerequisite: MATH 1360 Description: This course is designed to lay a strong mathematical foundation for students who wish to pursue AI or Data Science related topics. The course will cover matrix algebra, differentiation of functions of many variables, integration on high dimensional domains, basic problems of machine learning, such as linear regression, and the use of continuous optimization to solve them. Students will gain insight into why modern tools like Large Language Models (LLM) work or fail in different circumstances. This course is suitable for math majors, math/statistics minors, as well as students from other departments.