AI_V 240 - Introduction to Machine Learning

Core methodological paradigms in machine learning. Models for supervised prediction and unsupervised analysis. Deep learning techniques using differentiable programming. [3-2-0] Prerequisite: Both (a) one of CPSC_V 107, CPSC_V 110 and (b) one of MATH_V 111, MATH_V 131, MATH_V 152, MATH_V 221, MATH_V 223.

Credits: 4.00

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