CSCI5521: Machine Learning Fundamentals

3 CreditsField StudyOnline Available

Problems of pattern recognition, feature selection, measurement techniques. Statistical decision theory, nonstatistical techniques. Automatic feature selection/data clustering. Syntactic pattern recognition. Mathematical pattern recognition/artificial intelligence. Prereq: [2031 or 2033], STAT 3021, and knowledge of partial derivatives

View on University Catalog

All Instructors

A- Average (3.539)Most Common: A (46%)

This total also includes data from semesters with unknown instructors.

2568 students
SNWFDCBA
  • 4.13

    /5

    Recommend
  • 3.88

    /5

    Effort
  • 4.36

    /5

    Understanding
  • 4.21

    /5

    Interesting
  • 4.21

    /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