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Book Synopsis :

More than half of the analytics and machine learning (ML) models created by organizations today never make it into production. Some of the challenges and barriers to operationalization are technical, but others are organizational. Either way, the bottom line is that models not in production can't provide business impact.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.This book helps you:Fulfill data science value by reducing friction throughout ML pipelines and workflowsRefine ML models through retraining, periodic tuning, and

Book Detail :

Author : CL Stenac

Pages : 186 pages

Publisher : O'Reilly Media

Language :

ISBN-10 : 1492083291

ISBN-13 : 9781492083290

 
Supporting format: PDF, EPUB, Kindle, Audio, MOBI, HTML, RTF, TXT, etc.
Supporting : PC, Android, Apple, Ipad, Iphone, etc.
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