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Detailed Course Information

 

Fall 2023
Apr 16, 2024
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CS 4641 - Machine Learning
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.
3.000 Credit hours
3.000 Lecture hours

Grade Basis: ALP
All Sections for this Course

Dept/Computer Science Department

Course Attributes:
Intelligent Systems (CS), Tech Elect CS, Engr, &Sciences

Restrictions:
Must be enrolled in one of the following Campuses:     
      Georgia Tech-Atlanta *

Prerequisites:
(Undergraduate Semester level CS 1332 Minimum Grade of C or Undergraduate Semester level ISYE 3133 Minimum Grade of C) and (Undergraduate Semester level MATH 1553 Minimum Grade of D or Undergraduate Semester level MATH 1X53 Minimum Grade of T or Undergraduate Semester level MATH 1554 Minimum Grade of D or Undergraduate Semester level MATH 1X54 Minimum Grade of T or Undergraduate Semester level MATH 1564 Minimum Grade of D) and (Undergraduate Semester level MATH 1551 Minimum Grade of D or Undergraduate Semester level MATH 1X51 Minimum Grade of T)

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Release: 8.7.2.4GT