Computer Science

B455 Principles of Machine Learning

Credits: 3

Prerequisite(s): MATH-M 211 and CSCI-C 211 or previous programming experience.

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.

Spring 2018

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

  • Course History

      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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