Tiny Machine Learning : Next-Generation Artificial Intelligence

Language: English

Published by Wiley Mär 2029, 2029

139439280X / 9781394392803

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Neuware - This comprehensive guide provides the foundational tools, optimization techniques, and practical case studies you need to engineer autonomous edge systems across healthcare, industrial automation, and IoT. Deploying machine learning algorithms on devices with limited resources, such as microcontrollers and low-power edge devices, is known as TinyML (tiny machine learning). These devices are typically limited by memory, power, and processing capabilities, yet TinyML allows real-time processing and decision-making at the edge without relying on cloud computing. Despite these challenges, TinyML is becoming essential for edge applications that require fast, efficient, and autonomous operations. TinyML is revolutionizing industries by enabling sophisticated machine learning capabilities on hardware with limited resources. As edge computing and the Internet of Things continue to expand, TinyML forms the backbone of smarter, more efficient applications in sectors such as healthcare, industrial automation, and environmental monitoring. This book provides a comprehensive guide to this rapidly evolving field. It presents the concepts, methods, algorithms, and tools of TinyML, covering foundational principles, hardware and software platforms, optimization techniques, and real-world case studies. The book is tailored for practitioners, researchers, and enthusiasts eager to understand and leverage the power of TinyML. …

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Bibliographic details

Title
Tiny Machine Learning : Next-Generation Artificial Intelligence
Author
Navjot Kaur
Publisher
Wiley Mär 2029
Publication year
2029
Condition
Neu
Binding
Buch
Language
English
ISBN 10
139439280X
ISBN 13
9781394392803

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

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