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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
TinyML: A Comprehensive Guide to Machine Learning. Edge Devices provides a comprehensive overview of the emerging field of TinyML, covering everything from the basics of machine learning to designing and deploying models on low-power devices. With practical examples and real-world applications, this book explores the challenges and opportunities in the world of TinyML, addressing issues such as privacy, security, ethics, and future trends. Whether youre a beginner or an experienced ML practitioner, this book is a valuable resource for anyone interested in leveraging the power of machine learning on edge devices.on
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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
TinyML: A Comprehensive Guide to Machine Learning. Edge Devices provides a comprehensive overview of the emerging field of TinyML, covering everything from the basics of machine learning to designing and deploying models on low-power devices. With practical examples and real-world applications, this book explores the challenges and opportunities in the world of TinyML, addressing issues such as privacy, security, ethics, and future trends. Whether youre a beginner or an experienced ML practitioner, this book is a valuable resource for anyone interested in leveraging the power of machine learning on edge devices.on