Machine learning techniques and applications. Topics include foundational issues; inductive, analytical, numerical, and theoretical approaches; and real-world applications. Credit not awarded for both CS 4641 and CS 7641/CSE 6740/ISYE 6740/ECE 4252.
Requisites
Prerequisites:
(CS 1332 (Min. Grade: C) or ISYE 3133 (Min. Grade: C)) and (MATH 1553 (Min. Grade: D) or MATH 1X53 (Min. Grade: T) or MATH 1554 (Min. Grade: D) or MATH 1X54 (Min. Grade: T) or MATH 1564 (Min. Grade: D)) and (MATH 1551 (Min. Grade: D) or MATH 1X51 (Min. Grade: T))
Restrictions:
Must be enrolled in one of the following Campuses: Georgia Tech-Atlanta * (A)
All Instructors
GPA: 3.73Most Common: A (75.0%)
This total includes data from semesters with unknown instructors