Artificial intelligence machine learning von young richard (37 Ergebnisse)

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Paperback or Softback. Zustand: New. Artificial Intelligence and Machine Learning in Cybersecurity: A Comprehensive Guide to Improving Cybersecurity Protocol. Book.

Paperback. Zustand: New. Artificial Intelligence and Machine Learning in Cybersecurity: A Comprehensive Guide to Improving Cybersecurity Protocol is a comprehensive exploration of the intersection between cutting-edge technology and cybersecurity practices. This book offers readers an in-depth understanding of how artificial intelligence (AI) and machine learning (ML) are reshaping the cybersecurity landscape. It begins with foundational concepts, explaining AI and ML's principles and their transformative potential within various sectors, particularly cybersecurity. This book uniquely combines theoretical insights and practical applications, making it an essential resource for graduate students and cybersecurity professionals eager to expand their knowledge and skills.The book's uniqueness lies in its detailed analysis of how AI and ML can predict and counteract emerging threats in real time, shifting the paradigm from reactive to proactive cybersecurity measures. By delving into a wide range of topics, such as AI-powered Intrusion Detection and Prevention Systems (IDPS) and Endpoint Security, the author provides case studies and examples from sectors like finance and healthcare. This hands-on approach not only illustrates successful implementations but also highlights potential challenges, offering balanced perspectives and strategies to overcome hurdles. The inclusion of ethical considerations around AI usage in cybersecurity further distinguishes it as a forward-thinking guide.As cyber threats continue to evolve, the need for advanced AI and ML methodologies becomes increasingly critical. This book addresses this urgency by equipping readers with contemporary knowledge and tools necessary to leverage these technologies effectively. The discussion of future trends, such as AI-powered quantum security and necessary policy implications, ensures that readers are well-prepared to navigate the complexities of cybersecurity in the coming decades. Ultimately, it serves as both an educational textbook for students and a practical guide for cyber practitioners, offering a roadmap for implementing AI-driven cybersecurity solutions that enhance threat detection, response, and prevention.…

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paperback. Zustand: New.

Zustand: New. 2025. 1st Edition. paperback. . . . . .

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Paperback / softback. Zustand: New. New copy - Usually dispatched within 4 working days.

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Zustand: New. 2025. 1st Edition. paperback. . . . . . Books ship from the US and Ireland.

Paperback. Zustand: Brand New. 160 pages. 10.00x7.00x10.00 inches. In Stock.

Zustand: New. Richard Young, PhD, is a seasoned cybersecurity leader and practitioner with over 30 years of experience in the financial services industry. Serving as an adjunct professor and Cybersecurity Program chair, he has made significant contrib.

Paperback. Zustand: New. Artificial Intelligence and Machine Learning in Cybersecurity: A Comprehensive Guide to Improving Cybersecurity Protocol is a comprehensive exploration of the intersection between cutting-edge technology and cybersecurity practices. This book offers readers an in-depth understanding of how artificial intelligence (AI) and machine learning (ML) are reshaping the cybersecurity landscape. It begins with foundational concepts, explaining AI and ML's principles and their transformative potential within various sectors, particularly cybersecurity. This book uniquely combines theoretical insights and practical applications, making it an essential resource for graduate students and cybersecurity professionals eager to expand their knowledge and skills.The book's uniqueness lies in its detailed analysis of how AI and ML can predict and counteract emerging threats in real time, shifting the paradigm from reactive to proactive cybersecurity measures. By delving into a wide range of topics, such as AI-powered Intrusion Detection and Prevention Systems (IDPS) and Endpoint Security, the author provides case studies and examples from sectors like finance and healthcare. This hands-on approach not only illustrates successful implementations but also highlights potential challenges, offering balanced perspectives and strategies to overcome hurdles. The inclusion of ethical considerations around AI usage in cybersecurity further distinguishes it as a forward-thinking guide.As cyber threats continue to evolve, the need for advanced AI and ML methodologies becomes increasingly critical. This book addresses this urgency by equipping readers with contemporary knowledge and tools necessary to leverage these technologies effectively. The discussion of future trends, such as AI-powered quantum security and necessary policy implications, ensures that readers are well-prepared to navigate the complexities of cybersecurity in the coming decades. Ultimately, it serves as both an educational textbook for students and a practical guide for cyber practitioners, offering a roadmap for implementing AI-driven cybersecurity solutions that enhance threat detection, response, and prevention.…

Zustand: As New. Unread book in perfect condition.

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Zustand: New.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Hardback. Zustand: New. New copy - Usually dispatched within 4 working days.

Zustand: New. In English.

Hardcover. Zustand: Brand New. 160 pages. 10.00x7.00x10.00 inches. In Stock.

Paperback. Zustand: new. Paperback. Artificial Intelligence and Machine Learning in Cybersecurity: A Comprehensive Guide to Improving Cybersecurity Protocol is a comprehensive exploration of the intersection between cutting-edge technology and cybersecurity practices. This book offers readers an in-depth understanding of how artificial intelligence (AI) and machine learning (ML) are reshaping the cybersecurity landscape. It begins with foundational concepts, explaining AI and MLs principles and their transformative potential within various sectors, particularly cybersecurity. This book uniquely combines theoretical insights and practical applications, making it an essential resource for graduate students and cybersecurity professionals eager to expand their knowledge and skills.The books uniqueness lies in its detailed analysis of how AI and ML can predict and counteract emerging threats in real time, shifting the paradigm from reactive to proactive cybersecurity measures. By delving into a wide range of topics, such as AI-powered Intrusion Detection and Prevention Systems (IDPS) and Endpoint Security, the author provides case studies and examples from sectors like finance and healthcare. This hands-on approach not only illustrates successful implementations but also highlights potential challenges, offering balanced perspectives and strategies to overcome hurdles. The inclusion of ethical considerations around AI usage in cybersecurity further distinguishes it as a forward-thinking guide.As cyber threats continue to evolve, the need for advanced AI and ML methodologies becomes increasingly critical. This book addresses this urgency by equipping readers with contemporary knowledge and tools necessary to leverage these technologies effectively. The discussion of future trends, such as AI-powered quantum security and necessary policy implications, ensures that readers are well-prepared to navigate the complexities of cybersecurity in the coming decades. Ultimately, it serves as both an educational textbook for students and a practical guide for cyber practitioners, offering a roadmap for implementing AI-driven cybersecurity solutions that enhance threat detection, response, and prevention. This book offers readers an in-depth understanding of how AI and ML are reshaping the cybersecurity landscape. It begins with foundational concepts, explaining AI and ML's principles and their transformative potential within various sectors, particularly cybersecurity. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Zustand: Brand New. 160 pages. 10.00x7.00x10.00 inches. In Stock. This item is printed on demand.

Paperback / softback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Paperback. Zustand: new. Paperback. Artificial Intelligence and Machine Learning in Cybersecurity: A Comprehensive Guide to Improving Cybersecurity Protocol is a comprehensive exploration of the intersection between cutting-edge technology and cybersecurity practices. This book offers readers an in-depth understanding of how artificial intelligence (AI) and machine learning (ML) are reshaping the cybersecurity landscape. It begins with foundational concepts, explaining AI and MLs principles and their transformative potential within various sectors, particularly cybersecurity. This book uniquely combines theoretical insights and practical applications, making it an essential resource for graduate students and cybersecurity professionals eager to expand their knowledge and skills.The books uniqueness lies in its detailed analysis of how AI and ML can predict and counteract emerging threats in real time, shifting the paradigm from reactive to proactive cybersecurity measures. By delving into a wide range of topics, such as AI-powered Intrusion Detection and Prevention Systems (IDPS) and Endpoint Security, the author provides case studies and examples from sectors like finance and healthcare. This hands-on approach not only illustrates successful implementations but also highlights potential challenges, offering balanced perspectives and strategies to overcome hurdles. The inclusion of ethical considerations around AI usage in cybersecurity further distinguishes it as a forward-thinking guide.As cyber threats continue to evolve, the need for advanced AI and ML methodologies becomes increasingly critical. This book addresses this urgency by equipping readers with contemporary knowledge and tools necessary to leverage these technologies effectively. The discussion of future trends, such as AI-powered quantum security and necessary policy implications, ensures that readers are well-prepared to navigate the complexities of cybersecurity in the coming decades. Ultimately, it serves as both an educational textbook for students and a practical guide for cyber practitioners, offering a roadmap for implementing AI-driven cybersecurity solutions that enhance threat detection, response, and prevention. This book offers readers an in-depth understanding of how AI and ML are reshaping the cybersecurity landscape. It begins with foundational concepts, explaining AI and ML's principles and their transformative potential within various sectors, particularly cybersecurity. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…