Applied Machine Learning in Physics

Catalog description

This course introduces students to the fundamental concepts, tools, and techniques used in machine learning as applied to problems in physics. The course is divided into two phases: an instructional phase focused on learning core tools and algorithms in modern machine learning, followed by a project phase where students apply their knowledge in small groups to a real-world physics problem. Graded on A-F basis only. Credit Hour s : 3 Prerequisites: Introductory programming experience or instructor's consent required