CS 569 - Machine Learning

3 credit(s)
This course provides a broad introduction to machine learning. Topics include supervised learning, unsupervised learning, regression, classification, and clustering. Different machine learning algorithms (decision tree, naïve Bayes, support vector machine, k-means, and neural networks) are explored. Neural networks, along with its best practices, are discussed in depth. Students will be exposed to hands-on projects.
Prerequisite(s): Matriculation in the MS in CS program; or senior standing and permission of the instructor.
Course fee.

Click here for Fall 2024 course scheduling information.

Click here for Spring 2025 course scheduling information.