During the machine learning cycle, machine learning models can degrade due to issues such as data or concept drift. It is for this reason that it is crucial to monitor machine learning models and data at inference. I am happy to share the monitoring aspect of my MLOps project.

— Oluwadara Adedeji (@darasiemi) July 23, 2024