Course Description

Course CodeCourse NameCreditsHours
6105061 Machine Learning 3.0 3
Description This is a graduate seminar-based course that provides an overview of many algorithms in machine learning and its applications. In this course, we will take an interdisciplinary look at current research topics in machine learning covering Concept Learning, Decision Tree, Graphical Model, Neural Network, Bayesian Network, Instance-based Learning, and Support Vector Machine. Through the course, students can have the basic ideas and intuition behind modern machine learning methods.