Designing Machine Learning Systems : An Iterative Process

Description: Product details Publisher ‏ : ‎ O'Reilly Media; 1st edition (June 21, 2022) Language ‏ : ‎ English Paperback ‏ : ‎ 386 pages ISBN-10 ‏ : ‎ 1098107969 ISBN-13 ‏ : ‎ 978-1098107963 Item Weight ‏ : ‎ 1.36 pounds Dimensions ‏ : ‎ 7 x 0.75 x 9 inches 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 Normal 0 false false false EN-US X-NONE X-NONE NOTE: The item will be shipped right away with item delivery in 7-8 working days (price includes FREE international SHIPPING). BOOK CONDITION-NEW (original edition). Contact for any assistance (if you have any questions) and purchase with confidence. ***OFFER: BUY 3 or more and get FREE FEDEX EXPRESS shipping (within 3-4 working days) ****

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