Applied Machine Learning

Catalog description

Explores techniques in machine learning and analytics with a focus on applications. Some of the topics covered include regression, neural networks, nearest neighbors and clustering. Prerequisite(s): (Undergraduate level CS 1160 Minimum Grade of D or Undergraduate level CS 1180 Minimum Grade of D or Undergraduate level CEG 2170 Minimum Grade of D) and (Undergraduate level MTH 2570 Minimum Grade of D or Undergraduate level CS 2200 Minimum Grade of D or Undergraduate level STT 3600 Minimum Grade of D or Undergraduate level ISE 2211 Minimum Grade of D) Course Level: Undergraduate Schedule Type(s): Lecture Grade Mode: Standard An additional fee is associated with this course.