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3 produkter
3 produkter
E-bok
PDF, Engelska, 20262 701 kr
Läs direkt efter köp
The book highlights the importance of using machine learning algorithms for smart intelligent devices, security and privacy issues of the Internet of Things.Features: 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.
E-bok
Engelska, 20262 701 kr
Läs direkt efter köp
The book highlights the importance of using machine learning algorithms for smart intelligent devices, security and privacy issues of the Internet of Things.Features: 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.
Inbunden, Engelska, 2026
2 421 kr
Skickas inom 10-15 vardagar
The book highlights the importance of using machine learning algorithms for smart intelligent devices, security and privacy issues of the Internet of Things.Features:Discusses comprehensively topics such as sensor data collection, data preprocessing, feature extraction, and model trainingOffers simplified explanations of algorithms like neural networks, decision trees, and clustering techniques, making them accessible to readers with limited technical backgroundShowcases practical insights by presenting real-world applications of the Internet of Things, and machine learning in domains such as smart homes, healthcare, transportation, and manufacturingCovers 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 modelsThe 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.