PHYS476

Introduction to Applied Machine Learning

Reviews for this course Testudo

Prerequisite: PHYS165, PHYS274, and PHYS276; or interested students with backgrounds in functional programming, linear algebra and statistics, should contact the instructors to request permission. Introduces machine learning techniques that are becoming pertinent in the technology industry. Focus on hands-on work using popular high-level libraries. Students are expected to have a background in functional programming, linear algebra, calculus, and mathematical modeling.

Past Semesters

Matthew Severson

8 reviews
Average rating: 4.13

Matt Severson

41 reviews
Average rating: 3.12

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