CS 4840 - Intro Machine Learning

Credit Hour(s): 3

Course Description: Introduction to the field of probabilistic machine learning. Examples are drawn from sensor signal exploitation, biology, text processing, computer vision, and robotics. Key techniques are demonstrated and implemented in MATLAB.

Prerequisite(s): Undergraduate level EE 3260 Minimum Grade of D or Undergraduate level ISE 2211 Minimum Grade of D or Undergraduate level STT 3630 Minimum Grade of D

Enrollment Restrictions: May not be enrolled in one of the following degrees: Intending Egr & CS, Pre_Degree. Must be enrolled in one of the following colleges: College of Egr & Computer Sci.

Course Level: Undergraduate
Schedule Type(s): Lecture

Grade Mode: Standard
An additional fee is associated with this course.