This course offers an 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. Department Managed 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
Must be enrolled in one of the following Levels: Graduate, Medical, Professional. Must be enrolled in one of the following Colleges: College of Egr & Computer Sci.