Computer Science

B455 Principles of Machine Learning

Credits: 3

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

Spring 2019

Instructor: Haixu Tang
Time: 2:30PM-3:45PM Mon, Wed
Location: Wylie Hall, Room 015

  • 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.