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Practical MLOps operationalizing machine learning models

By: Gift, NoahContributor(s): Deza, AlfredoMaterial type: Text

TextPublication details: Navi Mumbai O'Reilly 2021Description: ix, 439pISBN: 9789355420374Subject(s): Computer science | Machine learning | Expert system DDC classification: 006.31 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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Item type	Current library	Collection	Call number	Status	Date due	Barcode
BK	Kannur University Central Library Stack	Stack	006.31 GIF/P (Browse shelf (Opens below))	Available		68222

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Previous	006.31 BON/B Building machine learning projects with TensorFlow : engaging projects that will teach you how complex data can be exploited to gain the most insight /	006.31 FEN/M Machine learning with Python for everyone	006.31 GER/H Hands-on machine learning with scikit-learn, keras, and tensorflow concepts, tools, and techniques to build intelligent systems	006.31 GIF/P Practical MLOps operationalizing machine learning models	006.31 GOP/D Deep Learning: core concepts, methods and apllications	006.31 GYO/M Machine learning for financial engineering /	006.31 JAP/E Evaluating Learning Algorithms: a classification perspective	Next

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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