Practical MLOps / Noah Gift operationalizing machine learning models

By:

Gift, Noah

Contributor(s):

Alfredo Deza

Language: English Publication details: c2021 Sebastapol, CA O'Reilly MediaEdition: 1st edDescription: xvii, 439 p. ill. 23 cmISBN:

9789355420374

Subject(s):

Apprentissage automatique; Machine learning

DDC classification:

006.31 GIF

Summary: Getting your models into production is the fundamental challenge of machine learning. MLOps offers a set of proven principles aimed at solving this problem in a reliable and automated way. This insightful guide takes you through what MLOps is (and how it differs from DevOps) and shows you how to put it into practice to operationalize your machine learning models.

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Holdings
Item type	Current library	Call number	Copy number	Status	Barcode
Reference	Anna Centenary Library 3RD FLOOR, A WING	006.31 GIF (Browse shelf(Opens below))		Not for loan	692418
Reference	Anna Centenary Library 3RD FLOOR, A WING	006.31 GIF;1 (Browse shelf(Opens below))	1	Not for loan	692419

Reprint, 2021

Includes index

Getting your models into production is the fundamental challenge of machine learning. MLOps offers a set of proven principles aimed at solving this problem in a reliable and automated way. This insightful guide takes you through what MLOps is (and how it differs from DevOps) and shows you how to put it into practice to operationalize your machine learning models.

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Practical MLOps / Noah Gift operationalizing machine learning models

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