Ml ops
Reading Time: 4 minutes Introduction MLOps or ML Ops is a set of practices that aims to deploy and maintain machine learning models in production reliably and efficiently.The word is a compound of “machine learning” and the continuous development practice of DevOps in the software field. MLOps is slowly evolving into an independent approach to ML lifecycle management. It applies to the entire lifecycle – data gathering, model creation (software development lifecycle, continuous integration/continuous delivery), orchestration, Continue Reading