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MACHINE LEARNING IN MICROSERVICES : productionizing microservices architecture for machine learning.. solutions by Mohamed Osam Abouahmed; Omar Ahmed is a nonfiction available to read on EtoBox.

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Implement real-world machine learning in a microservices architecture as well as design, build, and deploy intelligent microservices systems using examples and case studies Purchase of the print or Kindle book includes a free PDF eBook Key Features Design, build, and run microservices systems that utilize the full potential of machine learning Discover the latest models and techniques for combining microservices and machine learning to create scalable systems Implement machine learning in microservices architecture using open source applications with pros and cons Book Description With the rising need for agile development and very short time-to-market system deployments, incorporating machine learning algorithms into decoupled fine-grained microservices systems provides the perfect technology mix for modern systems. Machine Learning in Microservices is your essential guide to staying ahead of the curve in this ever-evolving world of technology. The book starts by introducing you to the concept of machine learning microservices architecture (MSA) and comparing MSA with service-based and event-driven architectures, along with how to transition into MSA. Next,

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Author

Mohamed Osam Abouahmed; Omar Ahmed

Publisher

PACKT PUBLISHING LIMITED

Published

2023

Language

EN

ISBN

9781804612149

Category

nonfiction

Subjects

Science, Computer Science, Engineering