PHYS 476
Introduction to Applied Machine Learning
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.
Prerequisites & course information
Prerequisite: PHYS165 , PHYS274 , and PHYS276 ; or interested students with backgrounds in functional programming, linear algebra and statistics, should contact the instructors to request permission.
Sources
- Course catalogue ↗2026-2027
- Catalogue entry ↗
Catalogue variants
- Introduction to Applied Machine Learning · 3 Credits