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

View on University Catalog

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


      Contribute on our Github

      Gopher Grades is maintained by Social Coding with data from Summer 2017 to Spring 2024 provided by the Office of Institutional Data and Research

      Privacy Policy