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Microservices for Machine Learning | Rohit Ranjan | New Edition | BPB Publications (English Medium)
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| 672-827 |
Microservices for Machine Learning | Rohit Ranjan | New Edition | BPB Publications (English Medium)
"Microservices for Machine Learning" by Rohit Ranjan is a comprehensive guide that explores the intersection of microservices architecture and machine learning. This new edition from BPB Publications is designed to help developers, data scientists, and engineers understand how to leverage microservices to build scalable and efficient machine learning systems.
The book starts by introducing the concepts of microservices architecture and machine learning, explaining how they can work together to create powerful applications. Readers will learn about the benefits of using microservices for machine learning, including improved scalability, flexibility, and maintainability.
Rohit Ranjan delves into practical examples and case studies to demonstrate how microservices can be used to deploy, monitor, and manage machine learning models in production. The book covers topics such as building scalable pipelines for training models, deploying models as services, monitoring performance, and handling model updates seamlessly.
Throughout the book, readers will gain insights into best practices for designing microservices-based machine learning systems, including strategies for data management, model versioning, error handling, and security. The author also discusses common challenges faced when implementing these systems and provides solutions to overcome them.
Whether you are a seasoned developer looking to enhance your machine learning skills or a data scientist interested in deploying models at scale, "Microservices for Machine Learning" offers valuable insights and practical guidance. By the end of this book, readers will have a solid understanding of how to design, build, and deploy microservices-based machine learning applications effectively.
This new edition includes updated content on the latest trends in microservices architecture and machine learning technologies. It also features additional case studies and examples to illustrate real-world applications of the concepts discussed in the book.
Overall, "Microservices for Machine Learning" is a must-read for anyone interested in harnessing the power of microservices to optimize their machine learning workflows.
Publisher : BPB Publications, Publication date : 23 May 2024, Language : English, Print length : 394 pages, ISBN-10 : 9355516886, ISBN-13 : 978-9355516886, Reading age : 12 years and up, Item Weight : 636 g, Dimensions : 19.05 x 2.26 x 23.5 cm, Country of Origin : India, Net Quantity : 1.0 Count, Packer : BPB Publications, 20 Ansari Road, Darya Ganj, New Delhi-110002, India, Generic Name : Book
Microservices for Machine Learning by Rohit Ranjan is a comprehensive guide that bridges the gap between modern software architecture and machine learning. This book is designed for developers, data scientists, and software engineers who want to build scalable, high-performance machine learning systems using microservices architecture.
The book begins by introducing the core principles of microservices and machine learning, providing a strong foundation for understanding how these two domains can be integrated effectively. It explains modular software design and how breaking applications into smaller, independent services improves scalability, flexibility, and maintainability.
A key focus of the book is on designing machine learning-specific microservices. Readers will learn how to implement ML models using popular frameworks such as TensorFlow and PyTorch, and deploy them as independent services. The book also covers building APIs using frameworks like Flask, enabling seamless communication between different components of a system.
The book further explores containerization using Docker, allowing developers to package and deploy applications consistently across environments. It also discusses data management strategies for machine learning, including real-time data ingestion, data versioning, and handling large datasets efficiently.
Security and deployment are also important aspects covered in the book. Readers will learn how to secure ML microservices and implement CI/CD pipelines to automate development and deployment processes. These practices ensure reliability, faster delivery, and efficient scaling of applications.
With practical examples and real-world use cases, this book helps readers understand how microservices are transforming machine learning applications across industries. It also provides insights into future trends, making it a valuable resource for staying updated in this evolving field.
With structured and in-depth content, this book is ideal for developers, data scientists, and IT professionals looking to build scalable and efficient machine learning systems using modern architectural approaches.
Search Keywords - Microservices for Machine Learning book, Rohit Ranjan Microservices for Machine Learning, BPB Publications Microservices for Machine Learning, Microservices architecture for ML, Machine learning with microservices, Scalable ML systems with microservices, Deploying ML models as services, Monitoring ML performance with microservices, Best practices for ML with microservices, Designing ML pipelines with microservices, Implementing data management in ML systems, Model versioning in microservice architectures, Error handling in ML deployments, Security considerations in ML services, Challenges of implementing ML with microservices, Solutions for scaling ML applications, Real-world examples of ML deployments, Latest trends in microservice architectures, Building efficient ML workflows, ML optimization using microservice architecture 1. Microservices for Machine Learning book, 2. Rohit Ranjan book Microservices for Machine Learning, 3. New Edition Microservices for Machine Learning book, 4. BPB Publications Microservices for Machine Learning, 5. English Medium Microservices for Machine Learning book, 6. Best books on machine learning microservices, 7. Top machine learning books 2021, 8. How to implement microservices in machine learning, 9. Benefits of using microservices in machine learning, 10. Machine learning algorithms explained,
| SKU / BOOK Code: | Microservices for Machine Lear |
| Publisher: | BPB Publications |
| Author: | Rohit Ranjan |
| Binding Type: | Paperback |
| No. of Pages: | 394 |
| ISBN-10: | 9355516886 |
| ISBN-13: | 978-9355516886 |
| Edition: | New Editions |
| Language: | English Medium |
| Publish Year: | 2024-05 |
| Weight (g): | 636 |
| Product Condition: | New |
| Reading Age: | Above 18 Years |
| Country of Origin: | India |
| Genre: | Computers & Internet |
| Manufacturer: | BPB Publications |
| Importer: | BPB Publications |
| Packer: | Fullfilled by Supplier |
Microservices for Machine Learning | Rohit Ranjan | New Edition | BPB Publications (English Medium)
"Microservices for Machine Learning" by Rohit Ranjan is a comprehensive guide that explores the intersection of microservices architecture and machine learning. This new edition from BPB Publications is designed to help developers, data scientists, and engineers understand how to leverage microservices to build scalable and efficient machine learning systems.
The book starts by introducing the concepts of microservices architecture and machine learning, explaining how they can work together to create powerful applications. Readers will learn about the benefits of using microservices for machine learning, including improved scalability, flexibility, and maintainability.
Rohit Ranjan delves into practical examples and case studies to demonstrate how microservices can be used to deploy, monitor, and manage machine learning models in production. The book covers topics such as building scalable pipelines for training models, deploying models as services, monitoring performance, and handling model updates seamlessly.
Throughout the book, readers will gain insights into best practices for designing microservices-based machine learning systems, including strategies for data management, model versioning, error handling, and security. The author also discusses common challenges faced when implementing these systems and provides solutions to overcome them.
Whether you are a seasoned developer looking to enhance your machine learning skills or a data scientist interested in deploying models at scale, "Microservices for Machine Learning" offers valuable insights and practical guidance. By the end of this book, readers will have a solid understanding of how to design, build, and deploy microservices-based machine learning applications effectively.
This new edition includes updated content on the latest trends in microservices architecture and machine learning technologies. It also features additional case studies and examples to illustrate real-world applications of the concepts discussed in the book.
Overall, "Microservices for Machine Learning" is a must-read for anyone interested in harnessing the power of microservices to optimize their machine learning workflows.
Publisher : BPB Publications, Publication date : 23 May 2024, Language : English, Print length : 394 pages, ISBN-10 : 9355516886, ISBN-13 : 978-9355516886, Reading age : 12 years and up, Item Weight : 636 g, Dimensions : 19.05 x 2.26 x 23.5 cm, Country of Origin : India, Net Quantity : 1.0 Count, Packer : BPB Publications, 20 Ansari Road, Darya Ganj, New Delhi-110002, India, Generic Name : Book
Microservices for Machine Learning by Rohit Ranjan is a comprehensive guide that bridges the gap between modern software architecture and machine learning. This book is designed for developers, data scientists, and software engineers who want to build scalable, high-performance machine learning systems using microservices architecture.
The book begins by introducing the core principles of microservices and machine learning, providing a strong foundation for understanding how these two domains can be integrated effectively. It explains modular software design and how breaking applications into smaller, independent services improves scalability, flexibility, and maintainability.
A key focus of the book is on designing machine learning-specific microservices. Readers will learn how to implement ML models using popular frameworks such as TensorFlow and PyTorch, and deploy them as independent services. The book also covers building APIs using frameworks like Flask, enabling seamless communication between different components of a system.
The book further explores containerization using Docker, allowing developers to package and deploy applications consistently across environments. It also discusses data management strategies for machine learning, including real-time data ingestion, data versioning, and handling large datasets efficiently.
Security and deployment are also important aspects covered in the book. Readers will learn how to secure ML microservices and implement CI/CD pipelines to automate development and deployment processes. These practices ensure reliability, faster delivery, and efficient scaling of applications.
With practical examples and real-world use cases, this book helps readers understand how microservices are transforming machine learning applications across industries. It also provides insights into future trends, making it a valuable resource for staying updated in this evolving field.
With structured and in-depth content, this book is ideal for developers, data scientists, and IT professionals looking to build scalable and efficient machine learning systems using modern architectural approaches.
Search Keywords - Microservices for Machine Learning book, Rohit Ranjan Microservices for Machine Learning, BPB Publications Microservices for Machine Learning, Microservices architecture for ML, Machine learning with microservices, Scalable ML systems with microservices, Deploying ML models as services, Monitoring ML performance with microservices, Best practices for ML with microservices, Designing ML pipelines with microservices, Implementing data management in ML systems, Model versioning in microservice architectures, Error handling in ML deployments, Security considerations in ML services, Challenges of implementing ML with microservices, Solutions for scaling ML applications, Real-world examples of ML deployments, Latest trends in microservice architectures, Building efficient ML workflows, ML optimization using microservice architecture 1. Microservices for Machine Learning book, 2. Rohit Ranjan book Microservices for Machine Learning, 3. New Edition Microservices for Machine Learning book, 4. BPB Publications Microservices for Machine Learning, 5. English Medium Microservices for Machine Learning book, 6. Best books on machine learning microservices, 7. Top machine learning books 2021, 8. How to implement microservices in machine learning, 9. Benefits of using microservices in machine learning, 10. Machine learning algorithms explained,
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