Information Technology Program 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
  • Note: This class will be taught in an online format.
SectionSessionTypeTimeDaysRegisteredInstructorLocationSyllabusInfo
31811R055Lecture9:00-12:10pmMon, Wed17 of 35Nitin Kalenotesession dates
Information accurate as of September 23, 2020 11:00 am.
The Fall 2020 semester will begin with fully remote instruction, with limited exceptions for clinical education. Faculty will contact students to provide information to login to classes. Read more.