DSCI 340 - Applied Machine Learning

Institution:

Lander University

Subject:

Description:

This course focuses on the application of machine learning algorithms applied to very large structured datasets. Topics include data preparation, pipeline construction, machine learning models and their hyperparameters, overfitting and underfitting, regularization, performance measurement, and application development in the cloud. Prerequisites: DSCI 230 and MATH 213. Three credit hours

Credits:

3.00

Credit Hours:

Prerequisites:

( DSCI 230 and( MATH 213

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.lander.edu

Phone Number:

(864) 388-8000

Regional Accreditation:

Southern Association of Colleges and Schools

Calendar System:

Semester

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