Supervised Stat Learning

3 Credits · Level: Graduate, Undergraduate

MATH 5320 Supervised Statistical Learning is a MS level course. Machine or statistical learning is concerned with algorithms that automatically improve their performance through experience and active feedback. This course covers topics such as neural networks, probabilistic networks, statistical learning methods (logistic regression, decision trees, random forests, among others), and reinforcement learning. This course is designed to provide a solid mathematical and statistical background in the theory and applications of supervised modeling and algorithms.