COSC 430 Machine Learning Systems Design

This course offers an in-depth exploration of the design, deployment, and operation of machine learning systems and data analytics, emphasizing real-world challenges and scalability. Students learn key principles of data engineering, model development, feature engineering, and model evaluation. The course integrates both theoretical concepts and hands-on projects, preparing students to build robust, scalable, and maintainable machine learning systems.

Credits

3

Prerequisite

COSC 330 AND COSC 336

Corequisite

COSC 434

Distribution

3-0-3

Offered

Fall Spring