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Download The Definitive Guide to Machine Learning Operations in AWS PDF – Scalability & Optimization

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Download “The Definitive Guide to Machine Learning Operations in AWS: Scalability and Optimization” PDF and master building, deploying, and scaling ML pipelines with AWS best practices. Learn about automation, monitoring, cost-efficient pipelines, and SageMaker orchestration. Get your PDF now!

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The Def initive
Guide to Machine
Learning
Operations in AWS
Machine Learning Scalability and
Optimization with AWS

Neel Sendas
Deepali Rajale

, The Definitive Guide to
Machine Learning
Operations in AWS
Machine Learning Scalability
and Optimization with AWS




Neel Sendas
Deepali Rajale

,The Definitive Guide to Machine Learning Operations in AWS: Machine Learning
Scalability and Optimization with AWS
Neel Sendas Deepali Rajale
Marietta, GA, USA Atlanta, GA, USA

ISBN-13 (pbk): 979-8-8688-1075-6 ISBN-13 (electronic): 979-8-8688-1076-3
https://doi.org/10.1007/979-8-8688-1076-3

Copyright © 2024 by Neel Sendas and Deepali Rajale
This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the
material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation,
broadcasting, reproduction on microfilms or in any other physical way, and transmission or information
storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now
known or hereafter developed.
Trademarked names, logos, and images may appear in this book. Rather than use a trademark symbol with
every occurrence of a trademarked name, logo, or image we use the names, logos, and images only in an
editorial fashion and to the benefit of the trademark owner, with no intention of infringement of the
trademark.
The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not
identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to
proprietary rights.
While the advice and information in this book are believed to be true and accurate at the date of publication,
neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or
omissions that may be made. The publisher makes no warranty, express or implied, with respect to the
material contained herein.
Managing Director, Apress Media LLC: Welmoed Spahr
Acquisitions Editor: Celestin Suresh John
Development Editor: Laura Berendson
Coordinating Editor: Gryffin Winkler
Cover designed by eStudioCalamar
Cover Image by WikiImages from Pixabay
Distributed to the book trade worldwide by Apress Media, LLC, 1 New York Plaza, New York, NY 10004,
U.S.A. Phone 1-800-SPRINGER, fax (201) 348-4505, e-mail , or visit www.
springeronline.com. Apress Media, LLC is a California LLC and the sole member (owner) is Springer Science
+ Business Media Finance Inc (SSBM Finance Inc). SSBM Finance Inc is a Delaware corporation.
For information on translations, please e-mail ; for reprint,
paperback, or audio rights, please e-mail .
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licenses are also available for most titles. For more information, reference our Print and eBook Bulk Sales
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Any source code or other supplementary material referenced by the author in this book is available to readers
on GitHub (https://github.com/Apress). For more detailed information, please visit https://www.apress.com/
gp/services/source-code.
If disposing of this product, please recycle the paper

, Neel: This book is for you, Dad. You were my best friend
and greatest support.
Deepali: Dedicated to my daughters, Ovi and Rewa, who continuously
inspire me to grow and improve in everything I do.

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Machine Learning Operations in AWS
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Machine Learning Operations in AWS

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Subido en
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Número de páginas
448
Escrito en
2024/2025
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