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Practical MLOps: Operationalizing Machine Learning Models
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Practical MLOps: Operationalizing Machine Learning Models
Practical MLOps: Operationalizing Machine Learning Models
artikal br.: 39708191

Practical MLOps: Operationalizing Machine Learning Models

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artikal br.: 39708191

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Find the best deals on Practical MLOps 1st Edition at Ubuy Serbia. Operationalize your Machine Learning models efficiently with our expert guide!
  • 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. Current and aspiring machine learning engineers--or anyone familiar with data science and Python--will build a foundation in MLOps tools and methods (along with AutoML and monitoring and logging), then learn how to implement them in AWS, Microsoft Azure, and Google Cloud. The faster you deliver a machine learning system that works, the faster you can focus on the business problems you're trying to crack. This book gives you a head start. You'll discover how to: Apply DevOps best practices to machine learning Build production machine learning systems and maintain them Monitor, instrument, load-test, and operationalize machine learning systems Choose the correct MLOps tools for a given machine learning task Run machine learning models on a variety of platforms and devices, including mobile phones and specialized hardware
Publisher O'Reilly Media
Publication date October 19, 2021
Edition 1st
Language English
Print length 458 pages
ISBN-10 1098103017
ISBN-13 978-1098103019
Item Weight 2.31 pounds (1.05 kg)
Dimensions 6.75 x 1 x 8.75 inches (17.1 x 2.5 x 22.2 cm)

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