Middlebury

MATH0218A-S21

Statistical Learning

Statistical Learning
This course is an introduction to modern statistical, machine learning, and computational methods to analyze large and complex data sets that arise in a variety of fields, from biology to economics to astrophysics. The theoretical underpinnings of the most important modeling and predictive methods will be covered, including regression, classification, clustering, resampling, and tree-based methods. Student work will involve implementation of these concepts using open-source computational tools. (MATH 0216) 3 hrs. lect./disc.
Course Reference Number (CRN):
22117
Subject Code:
MATH
Course Number:
0218
Section Identifier:
A

Course

MATH 0218

All Sections in Spring 2021

Spring 2021