CS 415 - Data Mining & Machine Learning

In this course, how this interdisciplinary field brings together techniques from databases, statistics, machine learning, and its recent applications is explored. The main data mining methods currently used, the basic concepts, principles, methods, implementation techniques, and applications of data mining for the purpose of analytical processing and decision support are discussed. This course includes data preparation, linear regression, logistic regression, clustering, association rules mining, classification, decision tree, text mining and web mining.

Prerequisites CS 300; or permissions of the chair. A Background in statistics and calculus is desirable.
Credits: 3

Class Level Senior Undergraduate
Program Undergraduate