STAT 363 - Statistical Learning

Institution:

Slippery Rock University of Pennsylvania

Subject:

Description:

The field of statistical learning encompasses the theory and data analytic techniques developed to process and make sense of evolving data challenges arising in the fields of data science and machine learning. This course will cover the theoretical underpinnings of supervised and unsupervised learning techniques, including generalized linear models, classification, dimension reduction, and cluster analysis. R and R-studio will be used for illustrative purposes. A working knowledge of linear algebra and multivariate calculus is assumed. Previous experience suing R software package is also assumed.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Other

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.sru.edu

Phone Number:

(724) 738-9000

Regional Accreditation:

Middle States Association of Colleges and Schools

Calendar System:

Semester

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