Items related to TinyML From Scratch: Hands-On TinyML and Edge AI
Synopsis
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.
"synopsis" may belong to another edition of this title.
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TinyML From Scratch (Paperback)
Print on DemandSeller: Grand Eagle Retail, Bensenville, IL, U.S.A.
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Paperback. Condition: 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. Seller Inventory # 9798197353177
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TinyML From Scratch
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9798197353177
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TinyML From Scratch: Hands-On TinyML and Edge AI
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TinyML From Scratch
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PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9798197353177
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TinyML From Scratch: Hands-On TinyML and Edge AI
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TinyML From Scratch
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TinyML From Scratch (Paperback)
Print on DemandSeller: CitiRetail, Stevenage, United Kingdom
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Paperback. Condition: 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. Seller Inventory # 9798197353177
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TinyML From Scratch : Hands-On TinyML and Edge AI
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Amazon Digital Services LLC - Kdp Mai 2026, 2026
ISBN 13: 9798197353177
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Seller: AHA-BUCH GmbH, Einbeck, Germany
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Taschenbuch. Condition: 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. Seller Inventory # 9798197353177
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TinyML From Scratch
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