Software Interfaces for Machine Learning Deployment

While building a machine learning model might be the fun part, it won't do much for anyone else unless it can be deployed into a production environment. How to implement machine learning deployments is a special challenge with differences from traditional software engineering, and this post examines a fundamental first step -- how to create software interfaces so you can develop deployments that are automated and repeatable.

Check out the full article at KDNuggets.com website
Software Interfaces for Machine Learning Deployment