COSC-507 Machine Learning
Fall for 2008-2009
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.
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