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Machine studying methods are each complicated and distinctive. Advanced as a result of they encompass many various elements and contain many various stakeholders. Distinctive as a result of they’re knowledge dependent, with knowledge various wildly from one use case to the subsequent. On this guide, you will study a holistic strategy to designing ML methods which are dependable, scalable, maintainable, and adaptive to altering environments and enterprise necessities.
Creator Chip Huyen, co-founder of Claypot AI, considers every design decision–such as learn how to course of and create coaching knowledge, which options to make use of, how usually to retrain fashions, and what to monitor–in the context of the way it may also help your system as a complete obtain its aims. The iterative framework on this guide makes use of precise case research backed by ample references.
This guide will enable you to sort out situations similar to:
Engineering knowledge and selecting the best metrics to unravel a enterprise problemAutomating the method for regularly creating, evaluating, deploying, and updating modelsDeveloping a monitoring system to shortly detect and tackle points your fashions may encounter in productionArchitecting an ML platform that serves throughout use casesDeveloping accountable ML methods
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Writer : O’Reilly Media; 1st version (June 21, 2022)
Language : English
Paperback : 386 pages
ISBN-10 : 1098107969
ISBN-13 : 978-1098107963
Merchandise Weight : 1.36 kilos
Dimensions : 7 x 0.75 x 9 inches
