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Machine Learning in Microservices: Productionizing microservices architecture for machine learning solutions by Mohamed Abouahmed, Omar Ahmed is a nonfiction available to read on EtoBox.

What is Machine Learning in Microservices: Productionizing microservices architecture for machine learning solutions about?

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, you'll learn about th

Who reads Machine Learning in Microservices: Productionizing microservices architecture for machine learning solutions?

Author

Mohamed Abouahmed, Omar Ahmed

Publisher

-.-

Published

1999

Language

EN

Category

nonfiction

Subjects

Computer Science, Organization And Data Processing, Stem