CS 5600 - Machine Learning

Credits: (3)
Typically Taught Spring Semester: Full Sem
Course Fee: $25.00
Course Fee Purpose: Course fees are designed to cover the costs of lab equipment maintenance and replacement including desktop and server computer systems and software; consumable materials and supplies; and support for lab aides, student tutors, and online instructional resources.
Description: Introduction to fundamental principles and practical techniques of machine learning and its applications, including parametric and non-parametric algorithms, support vector machines, kernels, neural networks, clustering algorithms, dimensionality reduction, recommender systems, and deep learning. This course focuses on understanding and implementing the machine learning algorithms.
Pre-requisite(s): CS 2420.