Machine Learning Iot Intelligent (143 results)

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Paperback or Softback. Condition: New. Intelligent Workloads at the Edge: Deliver cyber-physical outcomes with data and machine learning using AWS IoT Greengrass. Book.

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paperback. Condition: New. Brand new book, sourced directly from publisher. Dispatch time is 7-8 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

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Taschenbuch. Condition: Neu. Neuware - Have you ever wondered how a tiny, low-cost microcontroller can recognize spoken commands, detect defects on a production line, or predict equipment failures before they happen What if you could build intelligent systems that perform these tasks without relying on expensive cloud infrastructure, recurring subscription fees, or a constant internet connection Embedded AI and TinyML is a practical, hands-on guide to designing, training, and deploying machine learning models directly on embedded devices. Whether you are an engineer, student, maker, or technology professional, this book provides the knowledge and tools needed to build real-world intelligent systems that operate efficiently at the edge.Inside this book, you will learn how to: Build reliable sensor data pipelines for vibration, audio, temperature, motion, and environmental monitoring applications, using proven filtering, calibration, and preprocessing techniques.Design and train compact machine learning models optimized for resource-constrained hardware through quantization, pruning, compression, and other model optimization strategies.Deploy practical AI applications including image classification, keyword spotting, anomaly detection, predictive maintenance, and intelligent monitoring systems.Combine multiple sensors into context-aware solutions that integrate data from different sources to improve accuracy and decision-making.Integrate edge intelligence with cloud services for remote monitoring, analytics, over-the-air updates, and large-scale device management.Implement security and power optimization techniques including encryption, secure boot, privacy-aware design, and energy-efficient operation for battery-powered systems.Rather than focusing on theory alone, this book emphasizes practical implementation through real-world examples, step-by-step projects, and deployment strategies that mirror professional engineering workflows.Whether you are exploring embedded AI for the first time, advancing beyond basic tutorials, or developing products intended for real-world deployment, this guide will help you move from simple sensor experiments to intelligent, dependable systems that deliver value where it matters mostdirectly on the device.Start building the next generation of smart, connected, and autonomous systems today.…

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Taschenbuch. Condition: Neu. Neuware - Build AI That Thinks at the Edge-Not in the Cloud. What if you could build intelligent devices that recognize voices, classify images, detect motion, predict equipment failures, and automate real-world decisions-all on a low-cost ESP32 microcontroller ESP32 and TinyML from Beginner to Expert is your complete hands-on guide to mastering Edge AI and Embedded Machine Learning using the powerful ESP32 ecosystem. Whether you're a beginner exploring microcontrollers for the first time or an experienced developer looking to deploy production-ready TinyML applications, this book provides the practical knowledge and real-world projects needed to build intelligent embedded systems from the ground up. Instead of overwhelming you with theory, this book follows a step-by-step, project-driven approach that teaches you how to design, train, optimize, deploy, secure, and scale AI-powered IoT devices that make decisions locally-without relying on constant cloud connectivity. Inside this comprehensive guide, you'll learn how to: - Master ESP32 architecture, hardware, and development boards- Program ESP32 using Arduino IDE, ESP-IDF, and PlatformIO- Build TinyML applications with TensorFlow Lite Micro and Edge Impulse- Collect, clean, and prepare sensor data for machine learning- Train, optimize, quantize, and deploy lightweight AI models- Build computer vision systems with ESP32-CAM- Create voice recognition, keyword spotting, and audio intelligence applications- Develop gesture recognition and motion detection systems using IMU sensors- Design intelligent IoT solutions with Wi-Fi, MQTT, and cloud integration- Build smart home, industrial automation, predictive maintenance, healthcare, agriculture, and environmental monitoring projects- Optimize memory usage, improve inference speed, reduce power consumption, and extend battery life- Secure Edge AI devices with modern embedded security practices- Deploy OTA updates, manage AI model versions, and troubleshoot real-world TinyML systems- Build complete production-ready Edge AI applications with confidence>Whether your goal is to become an Embedded AI engineer, IoT developer, robotics enthusiast, electronics maker, researcher, engineering student, or professional developer, this book provides the roadmap to mastering one of today's fastest-growing technology fields. The future of AI isn't only in massive data centers-it's running on tiny devices at the edge.Start building the next generation of intelligent embedded systems today.…

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Paperback. Condition: Brand New. 242 pages. 9.18x6.12x9.21 inches. In Stock.

Taschenbuch. Condition: Neu. Intelligent Connections | Challenges and Applications at the Intersection of AI, IoT, and Machine Learning | Sanjaikanth E. Vadakkethil Somanathan Pillai (u. a.) | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786207649464 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

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Condition: New. A brand new book in pristine condition. Showing zero signs of shelf wear, creases, or damage.