PUBH7475: Statistical Learning and Data Mining

3 Credits

Various statistical techniques for extracting useful information (i.e., learning) from data. Linear discriminant analysis, tree-structured classifiers, feed-forward neural networks, support vector machines, other nonparametric methods, classifier ensembles, unsupervised learning.prereq: [[[6450, 6452] or equiv], programming backgroud in [FORTRAN or C/C++ or JAVA or Splus/R]] or instr consent; 2nd yr MS recommended

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A- Average (3.526)Most Common: A (27%)

This total also includes data from semesters with unknown instructors.

120 students
SWFDCBA
  • 4.24

    /5

    Recommend
  • 4.12

    /5

    Effort
  • 4.44

    /5

    Understanding
  • 4.31

    /5

    Interesting
  • 4.30

    /5

    Activities


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