Detailed Course Information |
Fall 2023
Nov 24, 2024 |
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| CS 4641 - Machine Learning |
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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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