Designing Machine Learning Systems

Chip Huyen

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Language: English

Published by O'Reilly Media, US, 2022

1098107969 / 9781098107963

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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.This book will help you tackle scenarios such as:Engineering data and choosing the right metrics to solve a business problemAutomating the process for continually developing, evaluating, deploying, and updating modelsDeveloping a monitoring system to quickly detect and address issues your models might encounter in productionArchitecting an ML platform that serves across use casesDeveloping responsible ML systems.…

Seller Inventory # LU-9781098107963

Title
Designing Machine Learning Systems
Author
Chip Huyen
Publisher
O'Reilly Media, US
Publication year
2022
Condition
New
Binding
Paperback
Language
English
ISBN 10
1098107969
ISBN 13
9781098107963

Rarewaves USA United

HEBRON, KY, U.S.A.

5-star seller

AbeBooks seller since June 20, 2025

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