This book promotes and facilitates exchanges of research knowledge and findings across different disciplines on the design and investigation of machine learning-based data analytics of IoT infrastructures. This book is focused on the emerging trends, strategies, and applications of IoT in both healthcare and industry data analytics perspectives. The data analytics discussed are relevant for healthcare and industry to meet many technical challenges and issues that need to be addressed to realize this potential. The IoT discussed helps to design and develop the intelligent medical and industry solutions assisted by data analytics and machine learning. At the end of every chapter readers are encouraged to check their understanding by means of brainstorming summary, discussion, exercises and solutions. 

• Focused on the emerging trends, strategies, and applications of IoT in both healthcare and industry data analytics perspectives;
• Promotes an exchange of researchacross disciplines on the design and investigation of machine learning-based data analytics of IoT infrastructures;
• Features case studies emphasizing social and research perspectives on cyber-physical systems, data analytics, intelligence and security.

Focused on the emerging trends, strategies, and applications of IoT in both healthcare and industry data analytics perspectives Promotes an exchange of research across disciplines on the design and investigation of machine learning-based data analytics of IoT infrastructures Features case studies emphasizing social and research perspectives on cyber-physical systems, data analytics, intelligence and security

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