Course Description

CS 482 APPLIED MACHINE LEARNING   3.0 Credit(s)
This course provides a theoretical and a practical understanding of machine learning techniques. It offers the concepts, the intuitions, and the tools the students need to actually implement programs capable of learning from data. A large number of techniques is covered, from the simplest and most commonly used such as linear regression to some of the Deep Learning techniques. The course materials are supported with hands-on sessions using contemporary machine learning tools. Prerequisite: Take CS-112, MA-331 or MA-332 or CSE-300
Offered: Spring Semester All Years