COMS 4771 Fall 2023

COMS 4771 is a graduate-level introduction to machine learning. The course covers basic statistical principles of supervised machine learning, as well as some common algorithmic paradigms.

Course information

Learning goals



You must be fluent in multivariate calculus, linear algebra, and basic probability, all at the undergraduate level. You must be comfortable with writing code to process and analyze data in Python. You must be familiar with basic algorithmic design and analysis. You must have general mathematical maturity.

A more detailed list of topics is available here.

Online resources for course prerequisites: