Applied Learning Algorithms for Intelligent IoT 1st Edition by Pethuru Raj Chelliah, Usha Sakthivel, and Susila Nagarajan is a comprehensive resource that delves into the integration of machine learning (ML) and deep learning (DL) algorithms within the Internet of Things (IoT) ecosystem. This edition emphasizes real-world business use cases, illustrating how machines and devices can be empowered to self-learn and exhibit intelligent behavior.
 
By integrating robust research, evidence-based practices, and compelling narratives, the text fosters a deeper understanding of cognitive machines, cyber-physical systems, and smarter manufacturing processes. It is an invaluable resource for AI researchers, faculty members, and IT professionals seeking to enhance their knowledge in intelligent IoT systems.
 
This high-quality PDF eBook features a professional design and interactive content, allowing you to easily navigate between chapters and sections through clickable links.
 
Applied Learning Algorithms for Intelligent IoT 1st Edition by Pethuru Raj Chelliah, Usha Sakthivel, and Susila Nagarajan, published by Taylor & Francis Ltd in 2024, is available in interactive PDF format, with Print ISBN: 1032113210, 9781032113210 and eTextbook ISBN: 1003119830, 9781003119838. This 1st edition is categorized under Computing & IT, making it an invaluable asset for those aiming to excel in the application of machine learning algorithms within IoT systems. Purchase this eBook and save up to 80% at Ebookworm.
 
About the Authors:
 
Pethuru Raj Chelliah: Dr. Pethuru Raj is Chief Architect and Vice President of the Site Reliability Engineering (SRE) Division of Reliance Jio Infocomm. Ltd., Bangalore, India.
 
Usha Sakthivel: Dr. Usha Sakthivel is the Dean of Research, Department of Computer Engineering, RajaRajeswari College of Engineering, Bangalore, India.
 
Susila Nagarajan: Dr. Susila N is a Professor and Head of the Department of Information Technology, Sri Krishna College of Engineering and Technology, Coimbatore, India.