Introducing MLOps is popular PDF and ePub book, written by Mark Treveil in 2020-11-30, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Introducing MLOps can be Read Online from any device for your convenience.
Introducing MLOps Book PDF Summary
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 workflows Refine ML models through retraining, periodic tuning, and complete remodeling to ensure long-term accuracy Design the MLOps life cycle to minimize organizational risks with models that are unbiased, fair, and explainable Operationalize ML models for pipeline deployment and for external business systems that are more complex and less standardized
Detail Book of Introducing MLOps PDF
- Author : Mark Treveil
- Release : 30 November 2020
- Publisher : "O'Reilly Media, Inc."
- ISBN : 9781098116422
- Genre : Computers
- Total Page : 171 pages
- Language : English
- PDF File Size : 14,8 Mb
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