MLOps: Continuous delivery and automation pipelines in machine learning, Lak Lakshmanan, Sara Robinson, Michael Munn, 2020 (Google Cloud) - This official guide provides practical advice and best practices for implementing MLOps, covering CI/CD pipelines, model monitoring, deployment patterns, and model governance from a cloud perspective.
A Survey on Concept Drift Adaption, João Gama, Indrė Žliobaitė, Albert Bifet, Myra Spiliopoulou, Paul Van Roy, 2014ACM Computing Surveys, Vol. 46 (Association for Computing Machinery)DOI: 10.1145/2523813 - This foundational survey paper provides an overview of various types of concept drift and methods for adapting machine learning models to changing data distributions, directly addressing a key trigger for model updates.