Course Schedule - The University of Tulsa

Spring Term 2022 - Mathematics - MATH-7553-01

as of 02/07/23 08:02AM


Course Section Number: MATH-7553-01
Title: Statistical Learning
Status: Open
Block:
Instructional Method: Lectures
Course Description: Statistical methods in supervised and unsupervised learning including classification and clustering, regularization and shrinkage for high dimensional data sets, non-linear models. Applications using these methods will be explored. Prerequisites: STAT 4813 and MATH 4123 or equivalents and permission of instructor.
Requisite Courses: None
Comments:
Meeting Times: KEP 3160 MW 03:30PM-04:45PM
Instructor: Redner R
Books and Supplies
Book Title: The Elements of Statistical Learning: Data Mining, Inference and Prediction
Author: Trevor Hastie, Robert Tibshirani, Jerome Friedman
Publisher: Springer
Edition: 2nd
ISBN: 9780387848570
Publishers Suggested Retail Price: $89.95
Required: Required
Comments: Free electronic copy is available at
https://web.stanford.edu/~hastie/ElemStatLearn/ and
https://web.stanford.edu/~hastie/ISLR2/ISLRv2_website.pdf


Book Title: An Introduction to Statistical Learning with Applications in R
Author: James, Witten, Hastie and Tibshirani
Publisher: On the web
Edition: 2nd
ISBN: NO_ISBN
Publishers Suggested Retail Price:
Required: Required
Comments: Free Electronic Copy On the Web