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Jan 13, 2025
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COGS 4230 - Human & Machine Learning
This seminar explores the growing convergence between computational theories of human and machine learning. The course will focus on major theoretical frameworks including deep learning, Bayesian inference, information theory, and reinforcement learning, utilizing journal articles from both machine learning and cognitive science literatures. These topics will be critically evaluated from the perspective of how computational theories can be instantiated in cognitive systems. Both successes, and limitations, of current computational theories will be considered.
Prerequisites/Corequisites: None.
When Offered: Fall annually
Co-Listed: COGS 6230
Graded: Y
Credit Hours: 4
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