STAA 577 - Statistical Learning and Data Mining

  • 2 credits
View available sections

Regularization, prediction, regression, classification and clustering. Students will learn to implement modern statistical techniques for analyzing the types of data that would be encountered by statisticians working in business, medicine, science and government.

Note: R programming skills (CSSA) are expected.

This course has print-based exams that require a proctor. A Distance Proctor Form will be required. Electronic proctoring is not available for this.

This course can be applied towards:

Prerequisite

STAA 551 (Regression Models and Applications); STAA 561 (Probability with Applications). This is a partial semester course.

Instructors

Simon Tavener

simon.tavener@colostate.edu

Learn more at: http://www.math.colostate.edu/~tavener/

Loading...