STAT 5650 - Statistical Learning and Data Mining I

Institution:

Utah State University

Subject:

Statistics

Description:

Students learn principal components analysis, discriminant analysis, logistic regression, nearest neighbor classification, classification trees, random forests, and are introduced to AdaBoost, gradient boosting machines, and support vector machines. They also learn agglomerative and k-means clustering, canonical correlation, and multivariate regression. Prerequisite: STAT 5100 with a C- or better

Credits:

2.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.usu.edu

Phone Number:

(435) 797-1000

Regional Accreditation:

Northwest Commission on Colleges and Universities

Calendar System:

Semester

General Education

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