MAT 423: DATA SCIENCE AND MACHINE LEARNING

This course is an introduction to machine learning, data-mining, and statistical pattern recognition. Topics include supervised learning, unsupervised learning, and practices in machine learning. In this course you will learn theoretical foundations of learning and how to apply learning algorithms to implementing smart automation, text understanding, understanding from digital images or videos, medical informatics, database mining, and more, while gaining prractice implementing them and having them to work for human beings. Prerequisite: grade of C or better iin MAT 223, MAT 320, and MAT 421