Machine learning theory and algorithms. Support vector machines. Kernel methods. Ensemble learning. Reinforcement learning. Advanced topics in machine learning.
Prerequisites & Notes: Graduate status. DATA 471 or DATA 571; MATH 304; or instructor permission. Credits: 4 Grade Mode: Letter