EECS 738. Machine Learning. 3 Hours.

"Machine learning is the study of computer algorithms that improve automatically through experience" (Tom Mitchell). This course introduces basic concepts and algorithms in machine learning. A variety of topics such as Bayesian decision theory, dimensionality reduction, clustering, neural networks, hidden Markov models, combining multiple learners, reinforcement learning, Bayesian learning etc. will be covered. Prerequisite: Graduate standing in CS or CoE or consent of instructor. LEC.

Master of Science in Physics

http://catalog.ku.edu/liberal-arts-sciences/physics-astronomy/ms-physics/

...3 EECS 731 Introduction to Data Science 3 EECS 738 Machine Learning 3 EECS 739...

Graduate Certificate in Data Science

http://catalog.ku.edu/engineering/electrical-engineering-computer-science/certificate-data-science/

...courses, minimum of 8 credit hours required) EECS 738: Machine Learning (3 credits) One of...