Opinion

Why Data Scientists Should Adopt Machine Learning (ML) Pipelines

MLOps in Practice — as a data scientist, are you handing over a notebook or an ML pipeline to your ML engineers or DevOps engineers for the ML model to be deployed in a production environment?

Background

In my previous articles :

• Learn the Core of MLOps — Building Machine Learning (ML) Pipelines