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| ISYE 4135 - Optimization Fnd ML AI |
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An overview of the foundations and algorithms for solving nonlinear continuous optimization problems with special emphasis on the applications to machine learning and artificial intelligence.
3.000 Credit hours 3.000 Lecture hours 0.000 Lab hours 0.000 Other hours Grade Basis: ALP All Sections for this Course Sch/Industrial & Systems Engr Department Restrictions: Must be enrolled in one of the following Campuses: Georgia Tech-Atlanta * Prerequisites: (Undergraduate Semester level MATH 1553 Minimum Grade of D or Undergraduate Semester level MATH 1554 Minimum Grade of D) and (Undergraduate Semester level MATH 2550 Minimum Grade of D or Undergraduate Semester level MATH 2551 Minimum Grade of D) and (Undergraduate Semester level CS 1301 Minimum Grade of D or Undergraduate Semester level CS 1371 Minimum Grade of D) |
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