English

Introducing MLOps

This book introduces the key concepts of MLOps to help data scientists and application engineers not only operationalize ML models to drive real business change but also maintain and improve those models over time. Through lessons based on numerous MLOps applications around the world, nine experts in machine learning provide insights into the five steps of the model life cycle-Build, Preproduction, Deployment, Monitoring, and Governance-uncovering how robust MLOps processes can be infused throughout. www.it-ebooks.dev

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