Machine Learning Methods in Natural Science Modeling

Catalog description

This is a course for PhD students in natural sciences with interests in applying latest machine learning and AI approaches to their problem domains. The course will consist of directed readings and covering available tutorials with weekly discussions. The goal is to motivate mutual self-learning through guided discussions. Weekly participation and completion of readings or other assigned materials is essential and lack of attendance will be graded. Topics to be covered will be decided after the first meeting. Prerequisites: multivariate calculus, linear algebra, statistics, and probability.