EET632 Pattern Recognition and Machine Learning

College of Technology Engineering Technology Department

Course Description: This course will provide students with knowledge and skills of machine learning based on unified, probabilistic approach. Topics include study of probability, optimization, conditional random fields, regularization and deep learning. Students will learn pattern recognition and machine learning principles relating to robotics systems.

Credit Hours: 3.00

Prerequisites: None

Corequisites: None