Advances in AI for Financial, Cyber, and Healthcare Analytics: A Multidisciplinary Approach comprehensively explores how artificial intelligence and machine learning are reshaping decision-making, predictive modelling, and operational strategies across three critical sectors—finance, cybersecurity, and healthcare.
Across nine chapters, the book delves into the foundations of financial analytics and explores AI’s role in market prediction, fraud detection, and risk analysis. It progresses into healthcare applications such as disease classification using ResNet, ethical implications of AI decisions, and the evolution of human-centred, edge-driven healthcare systems. In the cybersecurity domain, it addresses predictive threat modelling, smart home authentication, and biometric identification through advanced AI techniques.
Key features:
-Unifies financial, healthcare, and cyber analytics through AI-driven solutions.
-Demonstrates practical implementations with code examples and case studies.
-Covers cutting-edge technologies like CNN-LSTM, attention models, and edge computing.
-Addresses ethical, technical, and human-centred dimensions of AI.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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Paperback. Etat : new. Paperback. Advances in AI for Financial, Cyber, and Healthcare Analytics: A Multidisciplinary Approach comprehensively explores how artificial intelligence and machine learning are reshaping decision-making, predictive modelling, and operational strategies across three critical sectors-finance, cybersecurity, and healthcare. Across nine chapters, the book delves into the foundations of financial analytics and explores AI's role in market prediction, fraud detection, and risk analysis. It progresses into healthcare applications such as disease classification using ResNet, ethical implications of AI decisions, and the evolution of human-centred, edge-driven healthcare systems. In the cybersecurity domain, it addresses predictive threat modelling, smart home authentication, and biometric identification through advanced AI techniques. Key features: -Unifies financial, healthcare, and cyber analytics through AI-driven solutions. -Demonstrates practical implementations with code examples and case studies. -Covers cutting-edge technologies like CNN-LSTM, attention models, and edge computing. -Addresses ethical, technical, and human-centred dimensions of AI. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798898810566
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Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
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Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
Etat : New. N° de réf. du vendeur 51342318-n
Quantité disponible : Plus de 20 disponibles
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 51342318
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Vendeur : CitiRetail, Stevenage, Royaume-Uni
Paperback. Etat : new. Paperback. Advances in AI for Financial, Cyber, and Healthcare Analytics: A Multidisciplinary Approach comprehensively explores how artificial intelligence and machine learning are reshaping decision-making, predictive modelling, and operational strategies across three critical sectors-finance, cybersecurity, and healthcare. Across nine chapters, the book delves into the foundations of financial analytics and explores AI's role in market prediction, fraud detection, and risk analysis. It progresses into healthcare applications such as disease classification using ResNet, ethical implications of AI decisions, and the evolution of human-centred, edge-driven healthcare systems. In the cybersecurity domain, it addresses predictive threat modelling, smart home authentication, and biometric identification through advanced AI techniques. Key features: -Unifies financial, healthcare, and cyber analytics through AI-driven solutions. -Demonstrates practical implementations with code examples and case studies. -Covers cutting-edge technologies like CNN-LSTM, attention models, and edge computing. -Addresses ethical, technical, and human-centred dimensions of AI. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798898810566
Quantité disponible : 1 disponible(s)