3 Credits
This course provides an overview of methods by which computers can learn from data or experience and make decisions accordingly. Topics include supervised learning, unsupervised learning, reinforcement learning, and knowledge extraction from large databases with applications to science, engineering, and medicine. You’ll learn to recognize a problem as being appropriate for a machine learning solution and take steps to solve that problem with an applicable technique.