'Innovative Advancements in AI, Machine Learning, and Network Security" delve into the dynamic intersection of cutting-edge technologies reshaping our digital landscape. This comprehensive guide navigates the transformative realm of Artificial Intelligence (AI) and Machine Learning (ML), unraveling their intricate applications across industries. Discover how AI-driven algorithms decode complex data patterns, revolutionizing decision-making and predictive analytics. Explore Machine Learning's evolution, from foundational algorithms to deep neural networks, empowering systems to learn and adapt. Network Security emerges as a paramount concern in this digital age. Uncover the novel techniques guarding against cyber threats. Explore cryptographic advancements and blockchain's role in safeguarding data integrity. The book unveils the battle against adversarial attacks, illuminating defenses for robust AI systems. Real-world case studies spotlight the fusion of AI, ML, and Network Security. Witness predictive maintenance optimizing industries, healthcare diagnoses elevated by ML algorithms, and autonomous vehicles guided by AI.
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Dr. Syeda Kausar Fatima, Associate Professor Deccan College of Engineering and Technology, Darussalam, Hyderabad TS. Dr. Syeda Gauhar Fatima, Principal, Deccan College of Engineering and Technology, Darussalam, Hyderabad TS. Dr. Mir Iqbal Faheem, Professor & Director, Deccan Group of Institutions, Hyderabad, TS.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -'Innovative Advancements in AI, Machine Learning, and Network Security' delve into the dynamic intersection of cutting-edge technologies reshaping our digital landscape. This comprehensive guide navigates the transformative realm of Artificial Intelligence (AI) and Machine Learning (ML), unraveling their intricate applications across industries. Discover how AI-driven algorithms decode complex data patterns, revolutionizing decision-making and predictive analytics. Explore Machine Learning's evolution, from foundational algorithms to deep neural networks, empowering systems to learn and adapt. Network Security emerges as a paramount concern in this digital age. Uncover the novel techniques guarding against cyber threats. Explore cryptographic advancements and blockchain's role in safeguarding data integrity. The book unveils the battle against adversarial attacks, illuminating defenses for robust AI systems. Real-world case studies spotlight the fusion of AI, ML, and Network Security. Witness predictive maintenance optimizing industries, healthcare diagnoses elevated by ML algorithms, and autonomous vehicles guided by AI. 304 pp. Englisch. Bestandsnummer des Verkäufers 9786206780779
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kausar Fatima SyedaDr. Syeda Kausar Fatima, Associate Professor Deccan College of Engineering and Technology, Darussalam, Hyderabad TS. Dr. Syeda Gauhar Fatima, Principal, Deccan College of Engineering and Technology, Darussalam, Hyd. Bestandsnummer des Verkäufers 1126495063
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 'Innovative Advancements in AI, Machine Learning, and Network Security' delve into the dynamic intersection of cutting-edge technologies reshaping our digital landscape. This comprehensive guide navigates the transformative realm of Artificial Intelligence (AI) and Machine Learning (ML), unraveling their intricate applications across industries. Discover how AI-driven algorithms decode complex data patterns, revolutionizing decision-making and predictive analytics. Explore Machine Learning's evolution, from foundational algorithms to deep neural networks, empowering systems to learn and adapt. Network Security emerges as a paramount concern in this digital age. Uncover the novel techniques guarding against cyber threats. Explore cryptographic advancements and blockchain's role in safeguarding data integrity. The book unveils the battle against adversarial attacks, illuminating defenses for robust AI systems. Real-world case studies spotlight the fusion of AI, ML, and Network Security. Witness predictive maintenance optimizing industries, healthcare diagnoses elevated by ML algorithms, and autonomous vehicles guided by AI. Bestandsnummer des Verkäufers 9786206780779
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Taschenbuch. Zustand: Neu. Innovative Advancements in AI, Machine Learning, and Network Security | Syeda Kausar Fatima (u. a.) | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206780779 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 127735383
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -'Innovative Advancements in AI, Machine Learning, and Network Security' delve into the dynamic intersection of cutting-edge technologies reshaping our digital landscape. This comprehensive guide navigates the transformative realm of Artificial Intelligence (AI) and Machine Learning (ML), unraveling their intricate applications across industries. Discover how AI-driven algorithms decode complex data patterns, revolutionizing decision-making and predictive analytics. Explore Machine Learning's evolution, from foundational algorithms to deep neural networks, empowering systems to learn and adapt. Network Security emerges as a paramount concern in this digital age. Uncover the novel techniques guarding against cyber threats. Explore cryptographic advancements and blockchain's role in safeguarding data integrity. The book unveils the battle against adversarial attacks, illuminating defenses for robust AI systems. Real-world case studies spotlight the fusion of AI, ML, and Network Security. Witness predictive maintenance optimizing industries, healthcare diagnoses elevated by ML algorithms, and autonomous vehicles guided by AI.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 304 pp. Englisch. Bestandsnummer des Verkäufers 9786206780779
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