ECEGR 4760 - Machine Learning II: Contemporary and Emerging Techniques

4 credit hours
This is a project-based class that builds on Machine Learning I by introducing further deep-learning paradigms and Bayesian nonparametrics, ensemble, bootstrap, and mixture methods, Markov processes, and additional paradigms in evolutionary computing, swarm intelligence, and multi-valued logic.

Prerequisite Course(s): ECEGR 4750