About the book
MACHINE LEARNING PARADIGM FOR INTERNET OF THINGS APPLICATIONS
As companies globally realize the revolutionary potential of the IoT, they have started finding a number of obstacles they need to address to leverage it efficiently. Many businesses and industries use machine learning to exploit the IoT’s potential and this book brings clarity to the issue.
Machine learning (ML) is the key tool for fast processing and decision-making applied to smart city applications and next-generation IoT devices, which require ML to satisfy their working objective. Machine learning has become a common subject to all people like engineers, doctors, pharmacy companies, and business people. The book addresses the problem and new algorithms, their accuracy, and their fitness ratio for existing real-time problems.
Machine Learning Paradigm for Internet of Thing Applications provides the state-of-the-art applications of machine learning in an IoT environment. The most common use cases for machine learning and IoT data are predictive maintenance, followed by analyzing CCTV surveillance, smart home applications, smart-healthcare, in-store ‘contextualized marketing’, and intelligent transportation systems. Readers will gain an insight into the integration of machine learning with IoT in these various application domains.
Editions of Machine Learning Paradigm for Internet of Things Applications
- Hardcover
- ISBN 9781119760474
- EBook
- ISBN 9781119763482
- EBook
- ISBN 9781119763499
- EBook
- ISBN 9781119763475
Read an Excerpt
MACHINE LEARNING PARADIGM FOR INTERNET OF THINGS APPLICATIONS
As companies globally realize the revolutionary potential of the IoT, they have started finding a number of obstacles they need to address to leverage it efficiently. Many businesses and industries use machine learning to exploit the IoT’s potential and this book brings clarity to the issue.
Machine learning (ML) is the key tool for fast processing and decision-making applied to smart city applications and next-generation IoT devices, which require ML to satisfy their working objective. Machine learning has become a common subject to all people like engineers, doctors, pharmacy companies, and business people. The book addresses the problem and new algorithms, their accuracy, and their fitness ratio for existing real-time problems.
Machine Learning Paradigm for Internet of Thing Applications provides the state-of-the-art applications of machine learning in an IoT environment. The most common use cases for machine learning and IoT data are predictive maintenance, followed by analyzing CCTV surveillance, smart home applications, smart-healthcare, in-store ‘contextualized marketing’, and intelligent transportation systems. Readers will gain an insight into the integration of machine learning with IoT in these various application domains.
Frequently Asked Questions
What is Machine Learning Paradigm for Internet of Things Applications about?
MACHINE LEARNING PARADIGM FOR INTERNET OF THINGS APPLICATIONS
As companies globally realize the revolutionary potential of the IoT, they have started finding a number of obstacles they need to address to leverage it efficiently. Many businesses and industries use machine learning to exploit the IoT’s potential and this book brings clarity to the issue.
Machine learning (ML) is the key tool for fast processing and decision-making applied to smart city applications and next-generation IoT devices, which require ML to satisfy their working objective. Machine learning has become a common subject to all people like engineers, doctors, pharmacy companies, and business people. The book addresses the problem and new algorithms, their accuracy, and their fitness ratio for existing real-time problems.
Machine Learning Paradigm for Internet of Thing Applications provides the state-of-the-art applications of machine learning in an IoT environment. The most common use cases for machine learning and IoT data are predictive maintenance, followed by analyzing CCTV surveillance, smart home applications, smart-healthcare, in-store ‘contextualized marketing’, and intelligent transportation systems. Readers will gain an insight into the integration of machine learning with IoT in these various application domains.
What core themes, tropes, or subjects are explored in Machine Learning Paradigm for Internet of Things Applications?
Computing and Information Technology > Computer science > Artificial intelligence (AI)
Where can I read a sample of Machine Learning Paradigm for Internet of Things Applications?
You can read an official preview of the few pages here https://www.book2look.com/book/9781119760474
Who is/are the Author/s of the book Machine Learning Paradigm for Internet of Things Applications?
John Wiley & Sons
Who is the Publisher of the book Machine Learning Paradigm for Internet of Things Applications?
Wiley
What are the ISBN numbers for the physical and digital editions?
Machine Learning Paradigm for Internet of Things Applications is available as hardcover(ISBN 9781119760474) and ebook(ISBN 9781119763482) and ebook(ISBN 9781119763499) and ebook(ISBN 9781119763475)
Where can I buy Machine Learning Paradigm for Internet of Things Applications online or support local independent bookshops?
You can buy Machine Learning Paradigm for Internet of Things Applications from below
Where can I buy Machine Learning Paradigm for Internet of Things Applications?