Introduction
Emerging Trends in Machine Learning, Data Science, and Internet of Things Volumes 1 & 2 explores the technologies shaping the future of intelligent systems. Covering Machine Learning, Data Science, IoT, Blockchain, Cloud Computing, and Artificial Intelligence, the book focuses on designing and applying secure, data-driven solutions across healthcare, agriculture, transportation, education, cybersecurity, and digital content management.
It blends cutting-edge research with practical implementations, including AI-driven disease prediction, anomaly detection for network security, sentiment analysis, smart IoT applications, and blockchain-enabled digital authentication. The volumes highlight both theoretical foundations and real-world case studies, offering actionable insights for researchers and industry professionals alike.
Key Features
- - Comprehensive coverage of AI, ML, IoT, and Data Science applications.
- - Case studies on healthcare, agriculture, cybersecurity, and digital systems.
- - Practical implementations and comparative analyses of models.
- - Interdisciplinary insights, including AR, blockchain, and smart systems.
- - Focuses on both theory and real-world application.
Target Readership :
Researchers, academics, postgraduate students and professionals in Computer Engineering, IT, and Data Science.