Machine Learning

3 credits · Undergraduate Programs

Presenting various techniques for learning various kinds of knowledge, including rules, parameters, trees and graphs, partitions of sets, sequences and behaviors, and cases. Pointing out the components that can be improved using knowledge about the application area of a system. Looking at various pre-processing and post-processing improvement techniques. Prerequisite(s): Computer Science 433. Antirequisite(s): Credit for Computer Science 544 and Computer Science 599.44 will not be allowed.