Arts, Technology and the Business of Innovation 449:

Applications of Machine Learning (4.0 units)

Hands-on approach to the fundamental modeling techniques and machine learning algorithms that enable students to build robust predictive models of real-world data and test their validity.
  • Prerequisite: ITP 115 and ITP 249
  • Crosslist: This course is offered by the ITP department but may qualify for major credit in ACAD. To register, enroll in ITP 449.
  • Note: The ITP 350 prerequisite will be waived for students who have completed ITP 250 and an approved applied statistics course.
31829D001Lecture-Lab8:00-9:50amTue, Thu40 of 60Nitin KaleKAP160notesession dates
32086D001Lecture-Lab10:00-11:50amMon, Wed
37 of 37
Nitin KaleKDC236notesession dates
Information accurate as of October 10, 2019 12:02 pm.