EE 4840 - Introduction to Machine Learning



Credit Hour(s): 3
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: Must be enrolled in one of the following Colleges: College of Egr & Computer Sci.

Level: Undergraduate
Schedule Type(s): Lecture

This course information is from the 2023-2024 Academic Catalog. View this catalog.

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