CS 559 Machine Learning: Fundamentals and Applications
In this course we will talk about the foundational principles that drive machine learning applications and practice implementing machine learning algorithms. Specific topics include supervised learning, unsupervised learning, neural networks, and graphical models. The main goal of the course is to equip you with the tools to tackle new ML problems you might encounter in life.
Distribution
Computer Science ProgramOffered
Fall Semester
Spring Semester