Click the Schedule Type to find available offerings of the course on the Schedule of Classes. |
CS 7651 - Human & Machine Learning |
Explores the gap between empirical research on human learning and models from machine learning. Covers symbolic, statistical, semantic space, neural network, unsupervised, and other approaches.
3.000 Credit hours 3.000 Lecture hours 0.000 Lab hours 0.000 Other hours Grade Basis: ALP All Sections for this Course Dept/Computer Science Department Restrictions: May not be enrolled in one of the following Levels: Undergraduate Semester Must be enrolled in one of the following Campuses: Georgia Tech-Atlanta * |
Return to Previous | New Search |