TinyML From Scratch is a practical, hands-on introduction to Tiny Machine Learning and Edge AI on resource-constrained embedded devices. Designed for beginners, students, engineers, and makers, this book guides readers step-by-step through the complete TinyML workflow, from sensor data acquisition to model training and real-time inference on microcontrollers.
Using the Arduino Nano 33 BLE Sense and Edge Impulse, readers build real TinyML applications involving motion recognition, sound classification, sensor fusion, anomaly detection, and embedded AI systems. The book emphasizes practical implementation, production-oriented thinking, and understanding the engineering trade-offs between accuracy, latency, memory usage, and energy efficiency.
Unlike theory-heavy machine learning books, this book focuses on learning by building. Every chapter includes real projects, deployment workflows, and hands-on experimentation with real sensor data.
Whether you are starting your TinyML journey or exploring embedded AI for practical applications, TinyML From Scratch provides a clear and accessible path into the rapidly growing world of intelligent low-power devices and Edge AI systems.
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Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Paperback. Etat : new. Paperback. TinyML From Scratch is a practical, hands-on introduction to Tiny Machine Learning and Edge AI on resource-constrained embedded devices. Designed for beginners, students, engineers, and makers, this book guides readers step-by-step through the complete TinyML workflow, from sensor data acquisition to model training and real-time inference on microcontrollers.Using the Arduino Nano 33 BLE Sense and Edge Impulse, readers build real TinyML applications involving motion recognition, sound classification, sensor fusion, anomaly detection, and embedded AI systems. The book emphasizes practical implementation, production-oriented thinking, and understanding the engineering trade-offs between accuracy, latency, memory usage, and energy efficiency.Unlike theory-heavy machine learning books, this book focuses on learning by building. Every chapter includes real projects, deployment workflows, and hands-on experimentation with real sensor data.Whether you are starting your TinyML journey or exploring embedded AI for practical applications, TinyML From Scratch provides a clear and accessible path into the rapidly growing world of intelligent low-power devices and Edge AI systems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798197353177
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Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
PAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9798197353177
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Vendeur : Rarewaves USA, HEBRON, KY, Etats-Unis
Paperback. Etat : New. N° de réf. du vendeur LU-9798197353177
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Vendeur : California Books, Miami, FL, Etats-Unis
Etat : New. Print on Demand. N° de réf. du vendeur I-9798197353177
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Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9798197353177
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Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
Paperback. Etat : New. N° de réf. du vendeur LU-9798197353177
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Vendeur : Rarewaves USA United, HEBRON, KY, Etats-Unis
Paperback. Etat : New. N° de réf. du vendeur LU-9798197353177
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Vendeur : CitiRetail, Stevenage, Royaume-Uni
Paperback. Etat : new. Paperback. TinyML From Scratch is a practical, hands-on introduction to Tiny Machine Learning and Edge AI on resource-constrained embedded devices. Designed for beginners, students, engineers, and makers, this book guides readers step-by-step through the complete TinyML workflow, from sensor data acquisition to model training and real-time inference on microcontrollers.Using the Arduino Nano 33 BLE Sense and Edge Impulse, readers build real TinyML applications involving motion recognition, sound classification, sensor fusion, anomaly detection, and embedded AI systems. The book emphasizes practical implementation, production-oriented thinking, and understanding the engineering trade-offs between accuracy, latency, memory usage, and energy efficiency.Unlike theory-heavy machine learning books, this book focuses on learning by building. Every chapter includes real projects, deployment workflows, and hands-on experimentation with real sensor data.Whether you are starting your TinyML journey or exploring embedded AI for practical applications, TinyML From Scratch provides a clear and accessible path into the rapidly growing world of intelligent low-power devices and Edge AI systems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798197353177
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. Neuware - TinyML From Scratch is a practical, hands-on introduction to Tiny Machine Learning and Edge AI on resource-constrained embedded devices. Designed for beginners, students, engineers, and makers, this book guides readers step-by-step through the complete TinyML workflow, from sensor data acquisition to model training and real-time inference on microcontrollers.Using the Arduino Nano 33 BLE Sense and Edge Impulse, readers build real TinyML applications involving motion recognition, sound classification, sensor fusion, anomaly detection, and embedded AI systems. The book emphasizes practical implementation, production-oriented thinking, and understanding the engineering trade-offs between accuracy, latency, memory usage, and energy efficiency.Unlike theory-heavy machine learning books, this book focuses on learning by building. Every chapter includes real projects, deployment workflows, and hands-on experimentation with real sensor data.Whether you are starting your TinyML journey or exploring embedded AI for practical applications, TinyML From Scratch provides a clear and accessible path into the rapidly growing world of intelligent low-power devices and Edge AI systems. N° de réf. du vendeur 9798197353177
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Vendeur : Rarewaves.com UK, London, Royaume-Uni
Paperback. Etat : New. N° de réf. du vendeur LU-9798197353177
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