275,93 €
306,59 €
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Big Data Analytics for Cyber-Physical Systems
275,93 € 
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Big Data Analytics in Cyber-Physical Systems: Machine Learning for the Internet of Things examines sensor signal processing, IoT gateways, optimization and decision-making, intelligent mobility, and implementation of machine learning algorithms in embedded systems. This book focuses on the interaction between IoT technology and the mathematical tools used to evaluate the extracted data of those systems. Each chapter provides the reader with a broad list of data analytics and machine learning me…
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- Publisher: Elsevier
- ISBN-10: 0128166371
- ISBN-13: 9780128166376
- Format: 15.2 x 22.9 x 2.1 cm, softcover
- Language: English
- SAVE -10% with code: EXTRA
Big Data Analytics for Cyber-Physical Systems (e-book) (used book) | bookbook.eu
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Big Data Analytics in Cyber-Physical Systems: Machine Learning for the Internet of Things examines sensor signal processing, IoT gateways, optimization and decision-making, intelligent mobility, and implementation of machine learning algorithms in embedded systems. This book focuses on the interaction between IoT technology and the mathematical tools used to evaluate the extracted data of those systems. Each chapter provides the reader with a broad list of data analytics and machine learning methods for multiple IoT applications. Additionally, this volume addresses the educational transfer needed to incorporate these technologies into our society by examining new platforms for IoT in schools, new courses and concepts for universities and adult education on IoT and data science.EXTRA 10 % discount with code: EXTRA
275,93 €
306,59 €
We will send in 10–14 business days.
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The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Publisher: Elsevier
- ISBN-10: 0128166371
- ISBN-13: 9780128166376
- Format: 15.2 x 22.9 x 2.1 cm, softcover
- Language: English English
Big Data Analytics in Cyber-Physical Systems: Machine Learning for the Internet of Things examines sensor signal processing, IoT gateways, optimization and decision-making, intelligent mobility, and implementation of machine learning algorithms in embedded systems. This book focuses on the interaction between IoT technology and the mathematical tools used to evaluate the extracted data of those systems. Each chapter provides the reader with a broad list of data analytics and machine learning methods for multiple IoT applications. Additionally, this volume addresses the educational transfer needed to incorporate these technologies into our society by examining new platforms for IoT in schools, new courses and concepts for universities and adult education on IoT and data science.
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