BDSI 8210 - Machine Learning for Biomed

Institution:

Clemson University

Subject:

Biomed Data Sci & Inform

Description:

This course provides an introduction to methods in statistical learning commonly used to extract important patterns and information from biomedical data. Topics include linear methods for regression and classification, regularization, kernel smoothing methods, statistical model assessment and selection, and support vector machines. Unsupervised learning techniques such as principal component analysis and generalized principal component analysis are also discussed. The topics and their applications are illustrated using the statistical programing language R. Preq: STAT 8010.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.clemson.edu

Phone Number:

(864) 656-4636

Regional Accreditation:

Southern Association of Colleges and Schools

Calendar System:

Semester

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