O'Reilly:Introducing MLOps

How to Scale Machine learning in the enterprise

This report introduces practical concepts to help data scientists and application engineers operationalize ML models to drive real business change.

 

Explore a preview version of "Introducing MLOps" before its official release, including the first two chapters that uncover how to:

 

  • Fulfill data science value by reducing friction throughout ML pipelines and workflows
  • Constantly refine ML models through retraining, periodic tuning, and even complete remodeling to ensure long-term accuracy
  • Design the ML Ops lifecycle to ensure that people-facing models are unbiased, fair, and explainable
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Get Chapters 1-2

of the Ebook

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