CSC 8850 - Advanced Machine Learning

4 Credit Hours
Prerequisites: CSC 4520/6520.
Description
This course is intended to provide a general introduction to machine learning. This course will cover the fundamental concepts and principles of supervised learning and unsupervised learning, including concept learning, decision tree, artificial neural network, evaluating hypotheses, bayesian learning, instance-based learning, genetic algorithm, support vector machine, reinforcement learning, clustering algorithm, feature selection and feature extraction. Students will understand the basic knowledge of machine learning, be familiar with various supervised learning and unsupervised learning methods, gain experience of designing and implementing machine learning methods for dataset with different characteristics, and develop abilities of conducting research in machine learning.