CSCI 5525: Machine Learning: Analysis and Methods

3 Credits

Models of learning. Supervised algorithms such as perceptrons, logistic regression, and large margin methods (SVMs, boosting). Hypothesis evaluation. Learning theory. Online algorithms such as winnow and weighted majority. Unsupervised algorithms, dimensionality reduction, spectral methods. Graphical models. prereq: Grad student or instr consent

View on University Catalog

All Instructors

A Average (3.838)Most Common: A (71%)

This total also includes data from semesters with unknown instructors.

654 students
SWFDCBA
  • 3.91

    /5

    Recommend
  • 3.83

    /5

    Effort
  • 4.10

    /5

    Understanding
  • 4.06

    /5

    Interesting
  • 4.05

    /5

    Activities


      Contribute on our Github

      Gopher Grades is maintained by Social Coding with data from Summer 2017 to Fall 2023 provided by the Office of Institutional Data and Research

      Privacy Policy