This course offers a general and comprehensive introduction to fundamental modern topics in machine learning while providing the mathematical basis and conceptual tools needed for understanding machine learning algorithms. It also describes several key aspects of the application of these algorithms.

Antirequisite(s): The former Computer Science 4442A/B.

Prerequisite(s): Data Science 3000A/B.

Extra Information: 3 lecture hours.