CSC 653 Neural Networks and Machine Learning Applications

Introduction to inductive learning and decision trees, Neural Networks, Backpropagation  algorithm, Deep Neural Networks (Recurrent Networks and Deep Belief Networks), Self-Organizing Maps, Rule Induction, Bayesian Learning, Instance Based Learning, Ensembles of classifiers (Bagging Bossting, Stacking), Clustering, Association Rules, Regression.