Machine Learning

DAT 410
Description: This course will introduce students to practical machine learning and its applications. It will cover both supervised and unsupervised clustering algorithms and their applications in business problems like market segmentation. Students will also become familiar with artificial neural networks and thier use in prediction modeling. Software packages and tools related to machine learning algorithms will also be covered.

Prerequisite: Complete CSI-270 or CSI-281
Credits: 3

Currently Offered

Course #	Days	Time	Dates	Instructor	Seats
Spring
DAT 410-01	TF	4-5:15PM	01/16/24 - 05/03/24	Thammanna Gowda	8