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Machine studying methods are each complicated and distinctive. Complicated as a result of they include many alternative elements and contain many alternative stakeholders. Distinctive as a result of they’re knowledge dependent, with knowledge various wildly from one use case to the subsequent. On this ebook, you may be taught a holistic method to designing ML methods which are dependable, scalable, maintainable, and adaptive to altering environments and enterprise necessities.
Writer Chip Huyen, co-founder of Claypot AI, considers every design decision–such as the right way to course of and create coaching knowledge, which options to make use of, how typically to retrain fashions, and what to monitor–in the context of the way it can assist your system as an entire obtain its targets. The iterative framework on this ebook makes use of precise case research backed by ample references.
This ebook will enable you deal with eventualities resembling:
Engineering knowledge and selecting the best metrics to unravel a enterprise problemAutomating the method for regularly growing, evaluating, deploying, and updating modelsDeveloping a monitoring system to rapidly detect and deal with 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
Publication date : June 21 2022
Version : 1st
Language : English
Print size : 386 pages
ISBN-10 : 1098107969
ISBN-13 : 978-1098107963
Merchandise weight : 635 g
Dimensions : 17.78 x 1.91 x 22.86 cm
