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Designing machine learning systems: ...
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Huyen, Chip.
Designing machine learning systems: an iterative process for production-ready applications/
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Designing machine learning systems: / Chip Huyen.
其他題名:
an iterative process for production-ready applications/
作者:
Huyen, Chip.
其他作者:
Huyen, Chip
出版者:
Sebastopol, CA: O'Reilly Media, Inc., : 2022.,
版本:
1st ed.
面頁冊數:
xvi, 367 p.: ill.; : 24 cm.;
提要註:
"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.
標題:
Machine learning. -
ISBN:
1098107969 (pbk.)
Designing machine learning systems: an iterative process for production-ready applications/
Huyen, Chip.
Designing machine learning systems:
an iterative process for production-ready applications/ Chip Huyen. - 1st ed. - Sebastopol, CA: O'Reilly Media, Inc., 2022. - xvi, 367 p.: ill.; 24 cm.
Includes bibliographical references and index.
Overview of machine learning systems --
"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: 1098107969 (pbk.)
LCCN: 2023275143Subjects--Topical Terms:
248498
Machine learning.
Designing machine learning systems: an iterative process for production-ready applications/
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