Practitioners guide to MLOps: A framework for continuous ...
Practitioners guide to MLOps: A framework for continuous delivery and automation of machine paperMay 2021Authors: Khalid Salama, Jarek Kazmierczak, Donna SchutTable of ContentsExecutive summary 3Overview of MLOps lifecycle and core capabilities 4Deep dive of MLOps processes 15Putting it all together 34Additional resources
Building an ML-enabled system 6 The MLOps lifecycle 7 MLOps: An end-to-end workflow 8 ... • Preparing and maintaining high-quality data for training ML models. ... changes in the data, changes in the model, users trying to game the system, and so on. This is what MLOps is about.
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