DTSC 670 - Foundations of Machine Learning Models

Institution:

Eastern University

Subject:

Data Science

Description:

Introduction to machine learning landscape. This course will address questions such as what is machine learning? Why do we use machine learning? What is machine learning appropriate for? What is it inappropriate for? Will explore supervised and unsupervised learning, such as k-nearest neighbors, support vector machines, decision trees, and principal component analysis. Taught in Python.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.eastern.edu

Phone Number:

(610) 341-5800

Regional Accreditation:

Middle States Association of Colleges and Schools

Calendar System:

Semester

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