Machine Learning for Health Data Science

3 credits · Graduate Programs

An introduction to machine learning with a focus on health applications. While the theoretical foundation behind each machine learning method will be covered, emphasis will be on hands-on skills and practical applications. Individual work on in-class quizzes and computer assignments to learn basic knowledge and hands-on skills as well as interactive class discussions and teamwork. Prerequisite(s): Data Science 603, 604 and admission to the Graduate Diploma in Data Science and Analytics; or proficiency in Python programming and successful completion of at least one mathematics course at either the undergraduate or graduate level and consent of the program. Antirequisite(s): Credit for Community Health Sciences 615 and Data Science 622 will not be allowed.