Integration of Internet of Things and Machine Learning Design Models, Architectures and Application

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Integration of Internet of Things and Machine Learning
by Mudassir Khan;Fahimuddin Shaik;Shaik Karimullah;Suman Lata Tripathi;
English | 2026 | ISBN: 104106294X | 539 pages | True PDF EPUB | 331.37 MB​

The book highlights the importance of using machine learning algorithms for smart intelligent devices, security and privacy issues of the Internet of Things;Discusses comprehensively topics such as sensor data collection, data preprocessing, feature extraction, and model training.;;Offers simplified explanations of algorithms like neural networks, decision trees, and clustering techniques, making them accessible to readers with limited technical background.;;Showcases practical insights by presenting real-world applications of the Internet of Things, and machine learning in domains such as smart homes, healthcare, transportation, and manufacturing.;;Covers issues such as data quality, model overfitting, security vulnerabilities, and scalability. Includes tutorials on setting up Internet of Things devices, collecting and preprocessing data, and building machine learning models.;The text is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, computer science and engineering, and information technology.

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