CS 8267:Advanced Machine Learning

3 Class Hours 0 Laboratory Hours 3 Credit Hours
Prerequisite: Admission to Computer Science Ph.D. program, Computer Science MS Program, Analytics and Data Science Ph.D. Program, or Interdisciplinary Engineering Ph.D. program
This course covers the-state-of-the-art machine learning techniques. Topics cover unsupervised learning, supervised learning, evaluation of machine learning algorithms and ensemble methods. Students will learn applying advanced machine learning techniques to solve challenging problems in various areas. The course includes a literature search of current advances and their applications in machine learning and reading of research papers and presentation of research findings.