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 7641 and CS 4641/CSE 6740/ISYE 6740.
Requisites
Prerequisites:
CS 6601 (Min. Grade: D)
Restrictions:
Cannot be enrolled in one of the following Levels: Undergraduate Semester (US)
Must be enrolled in one of the following Campuses: Georgia Tech-Atlanta * (A)
All Instructors
This total includes data from semesters with unknown instructors
Max Roozbahani
18 terms from Fall 2019 to Summer 2025
Summer 2025
Spring 2025
Fall 2024
Summer 2024
Spring 2024
Fall 2023
Summer 2023
Spring 2023
Fall 2022
Summer 2022
Spring 2022
Fall 2021
Summer 2021
Spring 2021
Fall 2020
Summer 2020
Spring 2020
Fall 2019
Theodore LaGrow
6 terms from Fall 2023 to Summer 2025
Charles Isbell
15 terms from Fall 2016 to Spring 2023
Spring 2019
Fall 2018
Summer 2018
Spring 2018
Fall 2017
Spring 2017
Fall 2016
Byron Boots
Tuo Zhao
Le Song
Website Lead
Buzz Grades is maintained by Donghyun "Vince" Kim · Data: LITE (2016-2025), Course Catalog & OSCAR
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