EE4389W: Introduction to Predictive Learning

3 CreditsEnvironmentWriting Intensive

Empirical inference and statistical learning. Classical statistical framework, model complexity control, Vapnik-Chervonenkis (VC) theoretical framework, philosophical perspective. Nonlinear methods. New types of inference. Application studies. prereq: [3025, ECE student] or STAT 3022; computer programming or MATLAB or similar environment is recommended for ECE students

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All Instructors

B Average (3.089)Most Common: A (28%)

This total also includes data from semesters with unknown instructors.

32 students
WFDCBA
  • 3.71

    /5

    Recommend
  • 5.00

    /5

    Effort
  • 4.19

    /5

    Understanding
  • 3.97

    /5

    Interesting
  • 4.00

    /5

    Activities


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