ACS 3530 Data Science in Production (DS 2.3)
This course covers the tools and techniques commonly utilized for production machine learning in industry. Students learn how to provide web interfaces for training machine learning or deep learning models. Students will deploy models on the web and in the cloud, gather and process data from the web, and display information for consumption using advanced web applications Students learn to use data processing frameworks that allow them to access large large datasets on the cloud and to perform processing tasks on that data using distributed computing. Prerequisites:
ACS 1710 (WEB 1.1),
ACS 3510 (DS 2.1) and ACS 3521 (DS 2.2)