MATH 5637: Topics in Predictive Modeling
An introduction to some basic concepts and methods in statistical learning with emphasis on the mathematics behind these concepts and methods.
Prereq: A grade of C- or above in 2568 or 5520H, and a grade of C- or above in Stat 4202; or permission of department.
Prereq: A grade of C- or above in 2568 or 5520H, and a grade of C- or above in Stat 4202; or permission of department.
Credit Hours
3.0
Course Description Download:
File
5637.pdf (opens in a new window)269.7 KB
Course Documents
Spring 2022 Math 5637 Syllabus [pdf]
Textbook
An Introduction to Statistical Learning: with Applications in R, by Gareth James, Daniela
Witten, Trevor Hastie, and Robert Tibshirani, published by Springer, ISBN: 9781461471370
Semester(s) Offered:
Spring