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Publicado por Springer International Publishing AG, 2024
ISBN 10: 3031694201 ISBN 13: 9783031694202
Idioma: Inglés
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
EUR 63,75
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Añadir al carritoHRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Publicado por Springer International Publishing AG, 2024
ISBN 10: 3031694201 ISBN 13: 9783031694202
Idioma: Inglés
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
EUR 58,98
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Añadir al carritoHRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Librería: Best Price, Torrance, CA, Estados Unidos de America
EUR 61,47
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EUR 61,47
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Librería: California Books, Miami, FL, Estados Unidos de America
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Librería: California Books, Miami, FL, Estados Unidos de America
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 58,97
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 63,88
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Librería: Chiron Media, Wallingford, Reino Unido
EUR 60,48
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 77,15
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 67,77
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Publicado por Springer International Publishing AG, CH, 2024
ISBN 10: 3031694201 ISBN 13: 9783031694202
Idioma: Inglés
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 86,02
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Añadir al carritoHardback. Condición: New. 2024 ed. This textbook introduces basic and advanced embedded machine learning methods by exploring practical applications on Arduino boards. By covering traditional and neural network-based machine learning methods implemented on microcontrollers, the text is designed for use in courses on microcontrollers and embedded machine learning systems. Following the learning-by-doing approach, the book will enable students to grasp embedded machine learning concepts through real-world examples, providing them with the design and implementation skills needed for a competitive job market. By utilizing a programming environment that enables students to reach and modify microcontroller properties easily, the material allows for fast implementation of the developed system. Students are guided in implementing machine learning methods to be deployed and tested on microcontrollers throughout the book, with the theory behind the implemented methods also emphasized. Sample codes and real-world projects are available for readers and instructors. The book will also be an ideal reference for practicing engineers and electronics hobbyists.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 72,93
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 72,92
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Publicado por Springer International Publishing AG, CH, 2024
ISBN 10: 303170911X ISBN 13: 9783031709111
Idioma: Inglés
Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de America
EUR 94,74
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Añadir al carritoHardback. Condición: New. 2024 ed. This textbook introduces basic embedded machine learning methods by exploring practical applications on STM32 development boards. Covering traditional and neural network-based machine learning methods implemented on microcontrollers, the text is designed for use in courses on microcontrollers, microprocessor systems, and embedded systems. Following the learning by doing approach, the book will enable students to grasp embedded machine learning concepts through real-world examples that will provide them with the design and implementation skills needed for a competitive job market. By utilizing a programming environment that enables students to reach and modify low-level microcontroller properties, the material allows for more control of the developed system. Students will be guided in implementing machine learning methods to be deployed and tested on microcontrollers throughout the book, with the theory behind the implemented methods also emphasized. Sample codes and course slides are available for readers and instructors, and a solutions manual is available to instructors. The book will also be an ideal reference for practicing engineers and electronics hobbyists.
Publicado por Springer International Publishing AG, CH, 2024
ISBN 10: 303170911X ISBN 13: 9783031709111
Idioma: Inglés
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 94,83
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Añadir al carritoHardback. Condición: New. 2024 ed. This textbook introduces basic embedded machine learning methods by exploring practical applications on STM32 development boards. Covering traditional and neural network-based machine learning methods implemented on microcontrollers, the text is designed for use in courses on microcontrollers, microprocessor systems, and embedded systems. Following the learning by doing approach, the book will enable students to grasp embedded machine learning concepts through real-world examples that will provide them with the design and implementation skills needed for a competitive job market. By utilizing a programming environment that enables students to reach and modify low-level microcontroller properties, the material allows for more control of the developed system. Students will be guided in implementing machine learning methods to be deployed and tested on microcontrollers throughout the book, with the theory behind the implemented methods also emphasized. Sample codes and course slides are available for readers and instructors, and a solutions manual is available to instructors. The book will also be an ideal reference for practicing engineers and electronics hobbyists.
Publicado por Springer-Nature New York Inc, 2024
ISBN 10: 3031694201 ISBN 13: 9783031694202
Idioma: Inglés
Librería: Revaluation Books, Exeter, Reino Unido
EUR 65,50
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Añadir al carritoHardcover. Condición: Brand New. 400 pages. 9.25x6.10x9.21 inches. In Stock.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 79,55
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Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 99,30
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Librería: Books Puddle, New York, NY, Estados Unidos de America
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Publicado por Springer-Nature New York Inc, 2024
ISBN 10: 3031694201 ISBN 13: 9783031694202
Idioma: Inglés
Librería: Revaluation Books, Exeter, Reino Unido
EUR 101,21
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Añadir al carritoHardcover. Condición: Brand New. 400 pages. 9.25x6.10x9.21 inches. In Stock.
Publicado por Springer-Nature New York Inc, 2024
ISBN 10: 303170911X ISBN 13: 9783031709111
Idioma: Inglés
Librería: Revaluation Books, Exeter, Reino Unido
EUR 101,73
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Añadir al carritoHardcover. Condición: Brand New. 400 pages. 9.25x6.10x9.25 inches. In Stock.
Publicado por Springer International Publishing AG, CH, 2024
ISBN 10: 303170911X ISBN 13: 9783031709111
Idioma: Inglés
Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de America
EUR 97,69
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Añadir al carritoHardback. Condición: New. 2024 ed. This textbook introduces basic embedded machine learning methods by exploring practical applications on STM32 development boards. Covering traditional and neural network-based machine learning methods implemented on microcontrollers, the text is designed for use in courses on microcontrollers, microprocessor systems, and embedded systems. Following the learning by doing approach, the book will enable students to grasp embedded machine learning concepts through real-world examples that will provide them with the design and implementation skills needed for a competitive job market. By utilizing a programming environment that enables students to reach and modify low-level microcontroller properties, the material allows for more control of the developed system. Students will be guided in implementing machine learning methods to be deployed and tested on microcontrollers throughout the book, with the theory behind the implemented methods also emphasized. Sample codes and course slides are available for readers and instructors, and a solutions manual is available to instructors. The book will also be an ideal reference for practicing engineers and electronics hobbyists.
Publicado por Springer International Publishing AG, CH, 2024
ISBN 10: 3031694201 ISBN 13: 9783031694202
Idioma: Inglés
Librería: Rarewaves.com UK, London, Reino Unido
EUR 80,58
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Añadir al carritoHardback. Condición: New. 2024 ed. This textbook introduces basic and advanced embedded machine learning methods by exploring practical applications on Arduino boards. By covering traditional and neural network-based machine learning methods implemented on microcontrollers, the text is designed for use in courses on microcontrollers and embedded machine learning systems. Following the learning-by-doing approach, the book will enable students to grasp embedded machine learning concepts through real-world examples, providing them with the design and implementation skills needed for a competitive job market. By utilizing a programming environment that enables students to reach and modify microcontroller properties easily, the material allows for fast implementation of the developed system. Students are guided in implementing machine learning methods to be deployed and tested on microcontrollers throughout the book, with the theory behind the implemented methods also emphasized. Sample codes and real-world projects are available for readers and instructors. The book will also be an ideal reference for practicing engineers and electronics hobbyists.
Publicado por Springer International Publishing AG, CH, 2024
ISBN 10: 303170911X ISBN 13: 9783031709111
Idioma: Inglés
Librería: Rarewaves.com UK, London, Reino Unido
EUR 88,98
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Añadir al carritoHardback. Condición: New. 2024 ed. This textbook introduces basic embedded machine learning methods by exploring practical applications on STM32 development boards. Covering traditional and neural network-based machine learning methods implemented on microcontrollers, the text is designed for use in courses on microcontrollers, microprocessor systems, and embedded systems. Following the learning by doing approach, the book will enable students to grasp embedded machine learning concepts through real-world examples that will provide them with the design and implementation skills needed for a competitive job market. By utilizing a programming environment that enables students to reach and modify low-level microcontroller properties, the material allows for more control of the developed system. Students will be guided in implementing machine learning methods to be deployed and tested on microcontrollers throughout the book, with the theory behind the implemented methods also emphasized. Sample codes and course slides are available for readers and instructors, and a solutions manual is available to instructors. The book will also be an ideal reference for practicing engineers and electronics hobbyists.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 101,63
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Librería: Majestic Books, Hounslow, Reino Unido
EUR 101,86
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