COGS514 COGNITION AND MACHINE LEARNING
|METU Credit (Theoretical-Laboratory hours/week):
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|Level of Study:
||Fall and Spring Semesters.
Machine learning and its applications as a research methodology at the intersection between natural cognitive systems and artificial cognitive systems. Supervised learning, Bayesian decision theory, decision trees, multilayer perceptrons. Applications in subdomains of cognitive science, including natural language processing, vision and models of human learning.