Isbn: 9781098120207 - ai at the edge: solving real-world problems with embedded machine learning (34 risultati)

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Paperback. Condizione: New. Edge AI is transforming the way computers interact with the real world, allowing IoT devices to make decisions using the 99% of sensor data that was previously discarded due to cost, bandwidth, or power limitations. With techniques like embedded machine learning, developers can capture human intuition and deploy it to any target--from ultra-low power microcontrollers to embedded Linux devices.This practical guide gives engineering professionals, including product managers and technology leaders, an end-to-end framework for solving real-world industrial, commercial, and scientific problems with edge AI. You'll explore every stage of the process, from data collection to model optimization to tuning and testing, as you learn how to design and support edge AI and embedded ML products. Edge AI is destined to become a standard tool for systems engineers. This high-level road map helps you get started.Develop your expertise in AI and ML for edge devicesUnderstand which projects are best solved with edge AIExplore key design patterns for edge AI appsLearn an iterative workflow for developing AI systemsBuild a team with the skills to solve real-world problemsFollow a responsible AI process to create effective products. …

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Paperback. Condizione: new. Paperback. Edge artificial intelligence is transforming the way computers interact with the real world, allowing internet of things (IoT) devices to make decisions using the 99% of sensor data that was previously discarded due to cost, bandwidth, or power limitations. With techniques like embedded machine learning, developers can capture human intuition and deploy it to any target--from ultra-low power microcontrollers to flexible embedded Linux devices--for applications that reduce latency, protect privacy, and work without a network connection, greatly expanding the capabilities of the IoT. This practical guide gives engineering professionals and product managers an end-to-end framework for solving real-world industrial, commercial, and scientific problems with edge AI. You'll explore every stage of the process, from data collection to model optimization to tuning and testing, as you learn how to design and support edge AI and embedded ML products. Edge AI is destined to become a standard tool for systems engineers. This high-level roadmap will help you get started. Develop your expertise in artificial intelligence and machine learning on edge devices Understand which projects are best solved with edge AI Explore typical design patterns used with edge AI apps Use an iterative workflow to develop an edge AI application Optimize models for deployment to embedded devices Improve model performance based on feedback from real-world use This practical guide gives engineering professionals, including product managers and technology leaders, an end-to-end framework for solving real-world industrial, commercial, and scientific problems with edge AI. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

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Paperback. Condizione: New. Edge AI is transforming the way computers interact with the real world, allowing IoT devices to make decisions using the 99% of sensor data that was previously discarded due to cost, bandwidth, or power limitations. With techniques like embedded machine learning, developers can capture human intuition and deploy it to any target--from ultra-low power microcontrollers to embedded Linux devices.This practical guide gives engineering professionals, including product managers and technology leaders, an end-to-end framework for solving real-world industrial, commercial, and scientific problems with edge AI. You'll explore every stage of the process, from data collection to model optimization to tuning and testing, as you learn how to design and support edge AI and embedded ML products. Edge AI is destined to become a standard tool for systems engineers. This high-level road map helps you get started.Develop your expertise in AI and ML for edge devicesUnderstand which projects are best solved with edge AIExplore key design patterns for edge AI appsLearn an iterative workflow for developing AI systemsBuild a team with the skills to solve real-world problemsFollow a responsible AI process to create effective products. …

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Paperback. Condizione: New. Edge AI is transforming the way computers interact with the real world, allowing IoT devices to make decisions using the 99% of sensor data that was previously discarded due to cost, bandwidth, or power limitations. With techniques like embedded machine learning, developers can capture human intuition and deploy it to any target--from ultra-low power microcontrollers to embedded Linux devices.This practical guide gives engineering professionals, including product managers and technology leaders, an end-to-end framework for solving real-world industrial, commercial, and scientific problems with edge AI. You'll explore every stage of the process, from data collection to model optimization to tuning and testing, as you learn how to design and support edge AI and embedded ML products. Edge AI is destined to become a standard tool for systems engineers. This high-level road map helps you get started.Develop your expertise in AI and ML for edge devicesUnderstand which projects are best solved with edge AIExplore key design patterns for edge AI appsLearn an iterative workflow for developing AI systemsBuild a team with the skills to solve real-world problemsFollow a responsible AI process to create effective products. …

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Taschenbuch. Condizione: Neu. Neuware - Edge AI is transforming the way computers interact with the real world, allowing IoT devices to make decisions using the 99% of sensor data that was previously discarded due to cost, bandwidth, or power limitations. With techniques like embedded machine learning, developers can capture human intuition and deploy it to any target--from ultra-low power microcontrollers to embedded Linux devices. This practical guide gives engineering professionals, including product managers and technology leaders, an end-to-end framework for solving real-world industrial, commercial, and scientific problems with edge AI. You'll explore every stage of the process, from data collection to model optimization to tuning and testing, as you learn how to design and support edge AI and embedded ML products. Edge AI is destined to become a standard tool for systems engineers. This high-level road map helps you get started. - Develop your expertise in AI and ML for edge devices - Understand which projects are best solved with edge AI - Explore key design patterns for edge AI apps - Learn an iterative workflow for developing AI systems - Build a team with the skills to solve real-world problems - Follow a responsible AI process to create effective products.…

Kartoniert / Broschiert. Condizione: New. &Uumlber den AutorDaniel Situnayake is Head of Machine Learning at Edge Impulse, where he leads embedded machine learning R&D. He s coauthor of the O Reilly book TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Pow.