Undergraduate Catalog

COSC 430 Machine Learning Systems Design

This course provides an in-depth exploration of the design, deployment, and operation of machine learning systems and data analytics, with a focus on addressing real-world challenges and ensuring scalability. The course also provides key principles of data engineering, model development, feature engineering, and model evaluation. Additionally, 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

Corequisite

COSC 434

Distribution

(3,0,3)

Offered

Fall Spring