Undergraduate

Courses

Computer Science

B455 Principles of Machine Learning

Credits: 3

Prerequisite(s): CSCI-C 200 or C 211 and MATH-M 211.

In this course, we explore (machine learning) algorithms that can learn from and make predictions on data. This course introduces the statistical, mathematical, and computational foundations of these frameworks, with a strong focus on understanding the mathematical derivations for the algorithms and simultaneously implementing the algorithms.

  • Course History

      Spring 2018


      Instructor: Donald Williamson
      Time: 2:30PM-3:45PM Mon, Wed
      Location: GA1118

      Spring 2017


      Instructor: Martha White
      Time: 2:30PM-3:45PM Mon, Wed
      Location: PV274
      Course URL (syllabus link or course homepage)
      Supplementary Description: Please see the course url for more information.


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