MLOps
Also written: machine learning operations
The practice of running ML models reliably in production, borrowing from software engineering (tests, versions, automation) and adding for the fact that models depend on changing data.
Also written: machine learning operations
The practice of running ML models reliably in production, borrowing from software engineering (tests, versions, automation) and adding for the fact that models depend on changing data.