Description: Further DetailsTitle: Introducing MLOpsCondition: NewEAN: 9781492083290ISBN: 9781492083290Publisher: O'Reilly MediaFormat: PaperbackRelease Date: 12/31/2020Item Height: 233mmItem Length: 178mmAuthor: Kenji Lefevre, Makoto Miyazaki, Mark Treveil, Joachim Zentici, Adrien Lavoillotte, Du Phan, Lynn Heidmann, Nicolas Omont, Clement StenacLanguage: EnglishSubtitle: How to Scale Machine Learning in the EnterpriseDescription: 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 standardizedCountry/Region of Manufacture: USGenre: Computing & InternetRelease Year: 2020 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
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Book Title: Introducing MLOps
Title: Introducing MLOps
EAN: 9781492083290
ISBN: 9781492083290
Release Date: 12/31/2020
Release Year: 2020
Subtitle: How to Scale Machine Learning in the Enterprise
Country/Region of Manufacture: US
Genre: Computing & Internet
Number of Pages: 183 Pages
Language: English
Publication Name: Introducing Mlops : How to Scale Machine Learning in the Enterprise
Publisher: O'reilly Media, Incorporated
Item Height: 0.6 in
Subject: Enterprise Applications / Business Intelligence Tools, Machine Theory, Intelligence (Ai) & Semantics
Publication Year: 2021
Type: Textbook
Item Weight: 12.8 Oz
Subject Area: Computers
Author: Du Phan, Mark Treveil, Nicolas Omont, Clement Stenac, Kenji Lefevre
Item Length: 9.2 in
Item Width: 7 in
Format: Trade Paperback
