Name: Introducing Mlops: How to Scale Machine Learning in the Enterprise
SKU: 53096332
Price: 1989.00 TWD
Availability: InStock
Author: Mark Treveil; Nicolas Omont; Clement Stenac; Kenji Lefevre; Du Phan; Joachim Zentici; Adrien Lavoillotte; Makoto Miyazaki; Lynn Heidmann
ISBN: 9781492083290

portada Introducing Mlops: How to Scale Machine Learning in the Enterprise

Introducing Mlops: How to Scale Machine Learning in the Enterprise

Type

Physical Book

Publisher

O'reilly Media

Author

Mark Treveil; Nicolas Omont; Clement Stenac; Kenji Lefevre; Du Phan; Joachim Zentici; Adrien Lavoillotte; Makoto Miyazaki; Lynn Heidmann

Year

2020

Language

English

Pages

150

Format

Paperback

ISBN13

9781492083290

Edition No.

Synopsis "Introducing Mlops: How to Scale Machine Learning in the Enterprise "

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 complete remodeling to ensure long-term accuracyDesign the MLOps life cycle to minimize organizational risks with models that are unbiased, fair, and explainableOperationalize ML models for pipeline deployment and for external business systems that are more complex and less standardized

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Introducing Mlops: How to Scale Machine Learning in the Enterprise - Mark Treveil; Nicolas Omont; Clement Stenac; Kenji Lefevre; Du Phan; Joachim Zentici; Adrien Lavoillotte; Makoto Miyazaki; Lynn Heidmann

Synopsis "Introducing Mlops: How to Scale Machine Learning in the Enterprise "

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