Practical MLOps : operationalizing machine learning models

By:

Gift, Noah

Contributor(s):

Deza, Alfredo

Material type: Text

TextPublication details: Navi Mumbai O'Reilly 2021Edition: 1st edDescription: ix, 439pISBN:

9789355420374 (pbk.)

Subject(s):

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	Collection	Call number	Status	Date due	Barcode
Book	Plaksha University Library	Computer science	006.31 GIF (Browse shelf(Opens below))	Available		002738
Book	Plaksha University Library	Computer science	006.31 GIF (Browse shelf(Opens below))	Available		002739

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https://www.oreilly.com/library/view/practical-mlops/9781098103002/

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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