Naresh Kumar Sehgal – författare
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9 produkter
9 produkter
936 kr
Skickas inom 10-15 vardagar
This book provides readers with an overview of Cloud Computing, starting with historical background on mainframe computers and early networking protocols, leading to current concerns such as hardware and systems security, performance, emerging areas of IoT, Edge Computing etc.
1 386 kr
Skickas inom 10-15 vardagar
This book provides readers with an overview of Cloud Computing, starting with historical background on mainframe computers and early networking protocols, leading to current concerns such as hardware and systems security, performance, emerging areas of IoT, Edge Computing, and healthcare etc. Readers will benefit from the in-depth discussion of cloud computing usage and the underlying architectures. The authors explain carefully the “why’s and how’s” of Cloud Computing, so engineers will find this book an invaluable source of information to the topic. This third edition includes new material on Cloud Computing Scalability, as well as best practices for using dynamic cloud infrastructure, and cloud operations management with cost optimizations. Several new examples and analysis of cloud security have been added, including ARM architecture and https protocol.Provides practical guidance for software developers engaged in migrating in-house applications to Public Cloud;Describes for IT managers how to improve their Cloud Computing infrastructures;Includes coverage of security concerns with Cloud operating models;Uses several case studies to illustrate the “why’s and how’s” of using the Cloud;Examples and options to improve Cloud Computing Scalability.
1 068 kr
Skickas inom 10-15 vardagar
This book provides readers with an overview of Cloud Computing, starting with historical background on mainframe computers and early networking protocols, leading to current concerns such as hardware and systems security, performance, emerging areas of IoT, Edge Computing, and healthcare etc. Readers will benefit from the in-depth discussion of cloud computing usage and the underlying architectures. The authors explain carefully the “why’s and how’s” of Cloud Computing, so engineers will find this book an invaluable source of information to the topic. This third edition includes new material on Cloud Computing Scalability, as well as best practices for using dynamic cloud infrastructure, and cloud operations management with cost optimizations. Several new examples and analysis of cloud security have been added, including ARM architecture and https protocol.Provides practical guidance for software developers engaged in migrating in-house applications to Public Cloud;Describes for IT managers how to improve their Cloud Computing infrastructures;Includes coverage of security concerns with Cloud operating models;Uses several case studies to illustrate the “why’s and how’s” of using the Cloud;Examples and options to improve Cloud Computing Scalability.
536 kr
Skickas inom 5-8 vardagar
Cloud Computing has been in use for several decades now, but the art and science of delivering Cloud based products is still shrouded in mystery. The authors discuss the theory and practices of software engineering as applied to successful project execution, with real, Cloud-based products.
Introduction to Machine Learning with Security
Theory and Practice Using Python in the Cloud
Inbunden, Engelska, 2024
536 kr
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This book provides an introduction to machine learning, security and cloud computing, from a conceptual level, along with their usage with underlying infrastructure.
Introduction to Machine Learning with Security
Theory and Practice Using Python in the Cloud
Häftad, Engelska, 2025
536 kr
Skickas inom 5-8 vardagar
This book provides an introduction to machine learning, security and cloud computing, from a conceptual level, along with their usage with underlying infrastructure. The authors emphasize fundamentals and best practices for using AI and ML in a dynamic infrastructure with cloud computing and high security, preparing readers to select and make use of appropriate techniques. Important topics are demonstrated using real applications and case studies.
1 280 kr
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This book provides readers with an overview of the next generation of Cloud computing with AI, evolving to minimize latency and address privacy/security concerns of many customers. This book will highlight the associated problems and propose new solutions for performing AI and ML at the edge of computing networks.
1 209 kr
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- Nyhet
1 477 kr
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Unlock the future of healthcare innovation with this comprehensive guide to AI and machine learning in medical software. Designed for engineers, data scientists, and healthcare leaders, this book provides a practical roadmap for developing safe, effective, and compliant AI/ML-driven medical devices. From foundational principles to advanced deployment, including Software in Medical Devices (SiMD) and Software as a Medical Device (SaMD), this book covers everything you need to know. Explore a unique end-to-end development methodology tailored for AI-enabled solutions, cloud architectures, and regulated healthcare environments. Discover how to streamline product releases, navigate privacy and security mandates, and master global medical device regulations—all this while accelerating time to market with real-world strategies and tools. Hands-on projects and exclusive case studies, such as Apple’s Sleep Apnea Notification and Notal Vision’s Home OCT system, provide actionable insights from the cutting edge of AI-powered diagnosis and care. Whether you’re just starting or scaling enterprise-grade AI, this book teaches you how to leverage tomorrow’s innovations, including Generative AI, federated learning, edge deployment, and cloud-native best practices. Keep usability, trust, and safety at the heart of your solutions. This book bridges the technical and clinical worlds, making it your indispensable companion for building the future of intelligent healthcare.Unique Selling points: Describes each stage of AI/ML-enabled medical device development, covering both regulatory and technical requirements;Illustrates how AI/ML-enabled device development differs from traditional software development in medical devices;Includes strategies for addressing common challenges during development and regulatory review.