Short definition
A set of practices to deploy, monitor, and maintain machine learning models in production reliably.
Definition
Definition
A set of practices to deploy, monitor, and maintain machine learning models in production reliably. Using MLOps tools to automate retraining a fraud detection model as new transaction data arrives.