DATA580

Download as PDF

Machine Learning

Mathematics & Computer Science Caspersen School of Graduate Studies

Course Subject Code

DATA

Course Number

580

Status

Active

Course Attributes

EMFI: Major-Finance Elective, MFIN: Major-Finance, WRMJ: GenEd-Writing in the Major

Course Short Title

Machine Learning

Course Long Title

-

Course Description

Designed to provide students with a deep, practical understanding of several of the most common and powerful analytical machine learning techniques in use by today’s data scientists. Regression as well as classification techniques are covered, including logistic regression, linear discriminant analysis, KNN, and shrinkage methods such as the Lasso. The importance of cross validation is discussed and its methods taught. Supervised as well as unsupervised learning is discussed. Taught using the R language.

Min

3

Repeatable

-

Course Restrictions

Level: GM (I),

Equivalent Course(s)

-