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Microservices for Machine Learning: Design, implement, and manage high-performance ML systems with microservices (English Edition)

Microservices for Machine Learning: Design, implement, and manage high-performance ML systems with microservices (English Edition)

Microservices for Machine Learning: Design, implement, and manage
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Microservices for Machine Learning: Design, implement, and manage high-performance ML systems with microservices (English Edition) Paperback - 2024

by Ranjan, Rohit

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  • Title Microservices for Machine Learning: Design, implement, and manage high-performance ML systems with microservices (English Edition)
  • Author Ranjan, Rohit
  • Binding Paperback
  • Condition Used - Good
  • Pages 394
  • Volumes 1
  • Language ENG
  • Publisher Bpb Publications
  • Publication date 2024-05-23
  • Bookseller's Inventory # 9355516886.G
  • ISBN 9789355516886 / 9355516886
  • Weight 1.49 lbs (0.68 kg)
  • Dimensions 9.25 x 7.5 x 0.81 in (23.50 x 19.05 x 2.06 cm)
  • Category Computers - Languages / Programming
  • Quantity available 1

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Reader reviews for Microservices for Machine Learning: Design, implement, and manage high-performance ML systems with microservices (English Edition)

From the publisher

Explore the link between microservices and ML in Microservices for Machine Learning. Through this book, you will learn to build scalable systems by understanding modular software construction principles. You will also discover ML algorithms and tools like TensorFlow and PyTorch for developing advanced models. It equips you with the technical know-how to design, implement, and manage high-performance ML applications using microservices architecture. It establishes a foundation in microservices principles and core ML concepts before diving into practical aspects. You will learn how to design ML-specific microservices, implement them using frameworks like Flask, and containerize them with Docker for scalability. Data management strategies for ML are explored, including techniques for real-time data ingestion and data versioning. This book also addresses crucial aspects of securing ML microservices and using CI/CD practices to streamline development and deployment. Finally, you will discover real-world use cases showcasing how ML microservices are revolutionizing various industries, alongside a glimpse into the exciting future trends shaping this evolving field.
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