Book Name: Introducing MLOps
Author: Mark Treveil, The Dotaiku Team
ISBN-10: 1492083291
Year: 2020
Pages: 150
Language: English
File size: 4.5 MB
File format: ePub

Book Description:


More than half of the analytics and machine learning (ML) versions created by organizations today never get it into production. A few of the challenges and barriers to operationalization are technical, while others are organizational. In any event, the most important thing is that versions not in manufacturing can’t provide business impact. This book introduces the important concepts of MLOps to assist data scientists and application engineers not only operationalize ML versions to drive real business change but also maintain and improve those models as time passes. Through classes according to numerous MLOps applications around the world, nine experts in machine learning supply insights to the five steps of this design life cycle–Construct, Preproduction, Deployment, Tracking, and Governance–uncovering how powerful MLOps procedures can be infused through. This book helps you: Fulfill data science worth by reducing friction during ML pipelines and workflows Constantly refine ML models through retraining, regular tuning, and even finish remodeling to guarantee long-term precision Design the MLOps life cycle to minimize organizational dangers using models which are impartial, fair, and explainable Operationalize ML models not Just for pipeline deployment but also for outside business systems Which Are more complex and less standardized

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