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:

Spring
Campus Section Class Dates Fee Status
Online 065 3645
  • May 18-Aug 14
$488.92 (includes $49.00 online fee) Open