COSC 674 - Applied Machine Learning

3 Credits

(Spring)
Prerequisite(s): COSC 528 This course is the study of machine learning techniques and their applications. Topics include: supervised learning techniques, unsupervised learning techniques, deep learning, vectorization, reinforcement learning, bias/variance theory, best practices in machine learning and evaluating machine learning algorithms. Students will also learn how to apply learning algorithms in areas like robotics (perception, control), text understanding (web search, antispam), computer vision and medical informatics.