MATH 7740

MATH 7740

Course information provided by the 2014-2015 Catalog.

The course aims to present the developing interface between machine learning theory and statistics. Topics are classification and pattern recognition, support vector machines, neural networks, tree methods, and boosting.


Prerequisites/Corequisites Prerequisite: basic mathematical statistics (MATH 6740 or equivalent) and measure theoretic probability (MATH 6710).

When Offered Fall.

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Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Stdnt Opt

  •  8926 MATH 7740   LEC 001

  • Instruction Mode: