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Practitioners guide to MLOps: A framework for continuous ...

Practitioners guide to MLOps: A framework for continuous delivery and automation of machine paperMay 2021 Authors: Khalid Salama, Jarek Kazmierczak, Donna SchutTable of ContentsExecutive summary 3 Overview of MLOps lifecycle and core capabilities 4 Deep dive of MLOps processes 15 Putting it all together

The current document takes a deeper dive into the themes of scale and automate to illustrate the requirements for building and operationalizing ML systems. Scale concerns the extent to which you use cloud managed ML services that scale with large amounts of data and large numbers of data processing and ML jobs, with reduced operational overhead.

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  Large, Scale, Mplo

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