Due to COVID-19, Spring in-class sections will be conducted online. Please contact your instructor for more information.
This course introduces students to machine learning techniques and builds upon the background and skills learned in the previous data science and statistics courses. The course topics include advanced methods and algorithms for supervised and unsupervised learning, and ensemble methods. Through research paper discussion and hands-on assignments, the course will also cover recent applications of machine learning, such as autonomous navigation, biomedical informatics, biometrics, and text and web mining.
(CSC 367 or DSC 341) and (CSC 334 or DSC 324) are prerequisites for this class.