BUS 209
Foundations Machine Learning · 3 credits · Spring 2027
Requirements
PREREQUISITE: Completion of Core Math and Quantitative Reasoning Requirement
About this course
Overview of models and algorithms used in modern Machine Learning, including linear models, multi-layer neural networks, support vector machines, density estimation methods, Bayesian belief networks, clustering, ensemble methods, and reinforcement learning.
Seat status as of Oct 2, 10:27 AM ET. Seats can change between refreshes.
WEB-LEC Regular
Arranged · TBA
Online-Asynchronous
Instructor not announced yetOnline AsynchronousOpen