COSC-507 Machine Learning

Faculty:

Maloof, Marcus

This course surveys the major research areas of machine learning, concentrating on inductive learning. Topics will include rule induction, decision trees, neural networks, instance-based approaches, genetic algorithms, evaluation, and applications. In addition to minor programming projects and homework, students will complete a semester project. Prerequisite: COSC-173. COSC-387 is recommended. Fall, odd years.

Credits: 3

Prerequisites: None

Other academic years
There is information about this course number in other academic years:

• 2006-2007 Fall and Spring
• 2009-2010 Fall and Spring
• 2013-2014 Fall and Spring

More information
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