Electrical & Computer Engin 629 - ST- Applied Machine Learning

This course introduces concepts, techniques, and algorithms from artificial intelligence and machine learning, such as classification, regression, support vector machines, decision trees, neural networks, and deep neural networks. The application of these techniques to solve practical problems on computing and embedded systems is a focus of this course. Project assignments are used to reinforce concepts learned in lectures.

Open to Graduate students only.