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May 04, 2026
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2026-2027 UH Mānoa Catalog [DRAFT]
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ICS 435 - Machine Learning Fundamentals Credits: 3
Introduction to machine learning concepts with a focus on relevant ideas from computational neuroscience. Information processing and learning in the nervous system. Neural networks. Supervised and unsupervised learning. Basics of statistical learning theory.
Prerequisites: ICS 235 , or consent. Recommended: MATH 307 . Frequency of Course (when offered): Once a year Cross-Listed: DATA 435
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