CPSC - 6675 Machine Learning (3)

Presents an analysis of a broad array of machine learning methods that are used to solve challenging real-world problems, and, that are the underpinning methods from which many new methods are derived. Topics to be covered include methods of supervised learning, unsupervised learning, neural networks and genetic algorithms. Instructional Method: LD Lecture-Discussion. Semester Offered: Fall. Prerequisite: CPSC - 6575 Machine Learning Fundamentals 3.