Machine Learning II | St. Clair College

This course extends what the student learned in Machine Learning I. A broader set of algorithms will be introduced. Students will have the opportunity to explore strategies for improving the performance of algorithms, such as feature selection and engineering, regularization, cross-validation, and parameter tuning. The latter part of the course will be devoted to introducing the basic concepts and structure for various neural networks.

Text Extra. Location: One Riverside, 1 Riverside Dr. W.

Offerings:

Winter
Campus Section Class Dates Fee Status
Windsor 050 5995
  • Jan 28-Apr 16 Tue Thu 6:00PM-9:00PM
$439.92 Open