Course Info

DSC 345: Machine Learning

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. PREREQUISITE(S): DSC 324 and DSC 341

Winter 2018-2019

Section: 801
Class number: 27721
Meeting time: M 5:45PM - 9:00PM
Location: CDM 00224 at Loop Campus