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Author:
Huyen, Chip.
Title:
Designing machine learning systems : an iterative process for production-ready applications / Chip Huyen.
Edition:
First edition.
Publisher:
O'Reilly MediaInc.,
Copyright Date:
2022
Description:
xvi, 367 pages : illustrations ; 24 cm
Subject:
Machine learning.
Application software--Design.
Notes:
Includes bibliographical references and index.
Summary:
"Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. Author Chip Huyen, co-founder of Claypot AI, considers each design decision--such as how to process and create training data, which features to use, how often to retrain models, and what to monitor--in the context of how it can help your system as a whole achieve its objectives. The iterative framework in this book uses actual case studies backed by ample references."--Amazon.com.
ISBN:
9781098107963
1098107969
OCLC:
(OCoLC)1286145997
Locations:
GDPF771 -- Urbandale Public Library (Urbandale)

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