Winter 2024: Machine Learning Theory
Winter 2024: Machine Learning Theory
Course No:
EECS 598-014
Credit Hours:
3 credits
Instructor:
Wei Hu
Prerequisites:
Familiarity with probability, multivariate calculus, and linear algebra is required
This course will study the theoretical foundations of machine learning. We will present the frameworks and rigorously analyze some of the most successful algorithms in machine learning that are extensively used. The course will prepare students for thinking rigorously about machine learning and doing research in a relevant area.
More info (pdf)