Why data scientists should adopt Machine Learning (ML) pipelines | by YUNNA WEI | Feb, 2023
OpinionMLOps 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?BackgroundIn my previous articles :I talked about the importance of building ML pipelines. In today’s article, I will deep dive into the topic of ML pipelines and explain in detail:Why is it necessary and important to build ML pipelinesWhat are the key components of a ML pipelineWhy and how data scientists should adopt ML…