PHYS 3600ID
Machine Learning for Physics · 3 credits · Spring 2027
Requirements
P: CST 1201 or equivalent, MAT 1272 or MAT 1372 or MAT 2572 or permission
About this course
Problem solving in physics and astronomy through statistical inference, machine learning algorithms and data mining techniques. Researching and solving problems in different areas of physics using tools such as Bayesian statistics, Monte Carlo sampling, regression and classification algorithms, dimensionality reduction and data cleaning data. Programming assignments use current, flexible languages, such as Python.
Seat status as of Oct 2, 10:13 AM ET. Seats can change between refreshes.
No sections have been posted for this course in this term yet.