CST 7040 FUNDAMENTALS OF AI AND MACHINE LEARNING (3)

This course introduces students to the theory and practice of machine learning, covering the basic concepts and techniques of supervised and unsupervised learning, including decision trees, neural networks, clustering, and regression. Students will learn how to apply these techniques to real-world problems in various fields, such as natural language processing, computer vision, and data mining. The course also covers ethical considerations and the potential societal impacts of machine learning.