Elements of governance
Model governance sets the rules and controls for machine learning models running in production. For some models, like those that banks use for credit risk scoring, an elaborate governance framework is mandated by laws. But even with no regulatory pressure, having some level of control over what goes into production and how is more than valuable.
You have learned the core elements and features of a model governance framework.
In this exercise, your task is to differentiate between those fundamental building blocks and other ML concepts which are not within the scope of governance by placing them into the True
or False
bucket, respectively.
Cet exercice fait partie du cours
MLOps Deployment and Life Cycling
Exercice interactif pratique
Passez de la théorie à la pratique avec l’un de nos exercices interactifs
