Innovative Advancements in AI, Machine Learning, and Network Security

'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.

Autorentext

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.

Klappentext

'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.