Name: Tiny Machine Learning Techniques for Constrained Devices
Price: 209.49 NZD
Availability: InStock
Author: Ahmed A. Abd El-Latif;Yassine Maleh;Khalid El-Makkaoui;Ismail Lamaakal;Ibrahim Ouahbi
ISBN: 9781032897523

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Tiny Machine Learning Techniques for Constrained Devices

Type

Physical Book

Publisher

Chapman & Hall/CRC

Author

Ahmed A. Abd El-Latif;Yassine Maleh;Khalid El-Makkaoui;Ismail Lamaakal;Ibrahim Ouahbi

Year

2026

Pages

248

Format

Hardcover

Dimensions

23.40 x 15.60 cm

ISBN13

9781032897523

Tiny Machine Learning Techniques for Constrained Devices

Ahmed A. Abd El-Latif;Yassine Maleh;Khalid El-Makkaoui;Ismail Lamaakal;Ibrahim Ouahbi (Author) · Chapman & Hall/CRC · Hardcover

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Synopsis "Tiny Machine Learning Techniques for Constrained Devices"

Tiny Machine Learning Techniques for Constrained Devices explores the cutting-edge field of TinyML, enabling intelligent machine learning on highly resource-limited devices such as microcontrollers and edge IoT nodes. It is a guide to designing, optimizing, securing, and applying TinyML models in real-world constrained environments.