CNIT 48300

Applied Machine Learning

Credit Hours: 3.00.  In the past decade, we have observed the expeditious evolution and tremendous applications of machine learning, such as unmanned vehicle, autonomous language translation, and smart healthcare. This course will introduce both the fundamental knowledge and design/application insights of machine learning techniques via a series of hands-on real-world examples. The overall aim is to provide the students with a good understanding of machine learning technologies, building machine learning models, and applying machine-learning technologies to address real-world problems. In this course, students will also have an opportunity to explore the cutting-edge machine learning technologies, such as deep learning, adversarial attacks, and meta learning, and develop their own machine learning-based solutions. Typically offered Fall Spring Summer.

This course is offered by the Department of Computer and Information Technology