SE632 – Pattern Recognition and Machine Learning

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.
Prerequisite: None