CS7641 [at Georgia Tech]

Machine Learning, 3 credit hours — 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 6340.

Prereqs: CS6601

Taught by:

Theodore LaGrow (from CIOS): 18.8 hours per week on average; 19.2 in Spring 2024; 18.3 in Fall 2023.
Max Roozbahani (from CIOS): 11.1 hours per week on average; 10.7 in Spring 2024; 10.8 in Fall 2023; 14 in Summer 2023.

Main sections

CS7641A

Taught by Max Roozbahani. CRN is 83337, [view on OSCAR].

Meetings

12:30PM-1:45PM in Scheller College of Business room 100 every Monday, Wednesday

CS7641OSZ

Taught by Theodore LaGrow. CRN is 87715, [view on OSCAR].

Meetings

every

CS7641O01

Taught by Theodore LaGrow. CRN is 84119, [view on OSCAR].

Meetings

every

CS7641O3

Taught by Theodore LaGrow. CRN is 84977, [view on OSCAR].

Meetings

every

CS7641R2

Taught by Theodore LaGrow. CRN is 88075, [view on OSCAR].

Meetings

every