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The Definitive Guide to Machine Learning Operations in AWS: Machine Learning Scalability and Optimization with AWS by Neel Sendas, Deepali Rajale is a nonfiction available to read on EtoBox.

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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.Machine Learning operations (MLOps) is when DevOps principles are applied to a Machine Learning system. This is a relatively new term as nowadays most businesses try to incorporate AI/ML systems into their products and platforms. MLOps is an engineering discipline that aims to unify ML systems development (dev) and ML systems deployment/operations (ops) to

Who reads The Definitive Guide to Machine Learning Operations in AWS: Machine Learning Scalability and Optimization with AWS?

Author

Neel Sendas, Deepali Rajale

Publisher

Apress

Published

2025

Language

EN

ISBN

9788868810764

Category

nonfiction

Subjects

Computer Science, Artificial Intelligence (Ai), Stem