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Machine Learning in Microservices. Productionizing microservices architecture for machine learning solutions Mohamed Abouahmed, Omar Ahmed

(ebook) (audiobook) (audiobook) Książka w języku 1
Machine Learning in Microservices. Productionizing microservices architecture for machine learning solutions Mohamed Abouahmed, Omar Ahmed - okladka książki

Machine Learning in Microservices. Productionizing microservices architecture for machine learning solutions Mohamed Abouahmed, Omar Ahmed - okladka książki

Machine Learning in Microservices. Productionizing microservices architecture for machine learning solutions Mohamed Abouahmed, Omar Ahmed - audiobook MP3

Machine Learning in Microservices. Productionizing microservices architecture for machine learning solutions Mohamed Abouahmed, Omar Ahmed - audiobook CD

Autorzy:
Mohamed Abouahmed, Omar Ahmed
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
270
Dostępne formaty:
     PDF
     ePub
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 the different approaches to building MSA and find out how to overcome common practical challenges faced in MSA design. As you advance, you’ll get to grips with machine learning (ML) concepts and see how they can help better design and run MSA systems. Finally, the book will take you through practical examples and open source applications that will help you build and run highly efficient, agile microservices systems.
By the end of this microservices book, you’ll have a clear idea of different models of microservices architecture and machine learning and be able to combine both technologies to deliver a flexible and highly scalable enterprise system.

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O autorach książki

Mohamed Abouahmed is a Principal Architect and Consultant providing a unique combination of technical and commercial expertise to resolve complex and business-critical issues through the design and delivery of innovative, technology-driven systems and solutions. He is specialized in network automation solutions and smart systems development and deployment.
Mohamed’s hands-on experience underpinned by his strong project management and academic background, which includes a PMP Certification, Master of Global Management, Master of Business Administration (International Business), Master of Science in Computer Networking, and BSc in Electronics Engineering, helped him develop and deliver robust solutions for multiple carriers, service providers, enterprises, and Fortune 200 clients.
Omar Ahmed is an experienced Computer Engineer with a demonstrated history of working in the information technology and IoT industry. Skilled in C/C++, Databases, Java, Management, and Microcontrollers. Strong engineering professional with a Bachelor's degree focused in Computer Engineering from Georgia Institute of Technology.

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