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Bücher Englische Bücher Wissen & Bildung Naturwissenschaft, Medizin, Informatik, Technik Informatik & EDV Informatik The Definitive Guide to Machine Learning Operations in AWS
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The Definitive Guide to Machine Learning Operations in AWS
Neel Sendas, Deepali Rajale (Broschiert, Englisch)
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Beschreibung
Foreword by Dr. Shreyas Subramanian, Principal Data Scientist, Amazon This book focuses on deploying, testing, monitoring, and automating ML systems in production. It covers AWS MLOps tools like Amazon SageMaker, Data Wrangler, and AWS Feature Store, along with best practices for operating ML systems on AWS. This book explains how to design, develop, and deploy ML workloads at scale using AWS… cloud's well-architected pillars. It starts with an introduction to AWS services and MLOps tools, setting up the MLOps environment. It covers operational excellence, including CI/CD pipelines and Infrastructure as code. Security in MLOps, data privacy, IAM, and reliability with automated testing are discussed. Performance efficiency and cost optimization, like Right-sizing ML resources, are explored. The book concludes with MLOps best practices, MLOPS for GenAI, emerging trends, and future developments in MLOps By the end, readers will learn operating ML workloads on the AWS cloud. This book suits software developers, ML engineers, DevOps engineers, architects, and team leaders aspiring to be MLOps professionals on AWS. What you will learn: ● Create repeatable training workflows to accelerate model development ● Catalog ML artifacts centrally for model reproducibility and governance ● Integrate ML workflows with CI/CD pipelines for faster time to production ● Continuously monitor data and models in production to maintain quality ● Optimize model deployment for performance and cost Who this book is for: This book suits ML engineers, DevOps engineers, software developers, architects, and team leaders aspiring to be MLOps professionals on AWS. 64,19 €
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Technische Daten
Erscheinungsdatum
04.01.2025
Sprache
Englisch
EAN
9798868810756
Herausgeber
APRESS
Sonderedition
Nein
Autor
Neel Sendas, Deepali Rajale
Seitenanzahl
440
Auflage
1
Einbandart
Broschiert
Buch Untertitel
Machine Learning Scalability and Optimization with AWS
Schlagwörter
Machine Learning, AWS, MLOps, Reliability in MLOps, Security in MLOps, Operational Excellence in MLOps, Cost Optimization in MLOps, MLOPS for GenAI
Thema-Inhalt
UYQ - Künstliche Intelligenz
UTC - Cloud Computing
KJMV - Management spezifischer Bereiche
Höhe
254 mm
Breite
17.8 cm
Transparenz & Sicherheit
Hersteller: Apress, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH
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