3 credit hours
Prerequisite: CSCI 251 and MATH 231
This is a project-based course designed to introduce techniques in modern Machine Learning and to provide the foundation for further study in Machine/Statistical Learning. Topics include regression, classification, neural networks, gradient descent, deep learning, and applications. Students will build systems that solve problems which motivate inquiry into the theoretical underpinnings of the subject. Advanced coding skills are not required, only willingness to improve via hands-on programming.