CMSC389I

Prerequisites: CMSC216 and CMSC250 with a grade of C- or better; and permission of the Computer Science department. This course provides a comprehensive, practical introduction to the intersection of machine learning and different challenges in healthcare. Students will apply basic predictive modeling techniques to fields such as early detection of disease, telemedicine, and mental health. Prior knowledge of biology is not required but a basic understanding of Python and/or machine learning techniques is recommended.