Search Results

EECS 738 Machine Learning

EECS 738.  Machine Learning.  3 Credits.     

"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.

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...

Doctor of Philosophy in Business

http://catalog.ku.edu/business/phd/

...3 EECS 649 Introduction to Artificial Intelligence 3 EECS 738 Machine Learning 3 EECS 837...