£83.74

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Springer Machine Learning, Deep Learning and AI for Cybersecurity

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£94.72 £82.64 £85.28 £87.91 £90.55 £93.18 £95.82 27 July 2026 13 August 2026 31 August 2026 18 September 2026 06 October 2026
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1 day · current 40 days 13 days 11 days 7 days 0 10 20 30 40 £84 £85 £88 £91 £95 Days at Price

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Most common price: £85 (40 days, 55.6%)

Price range: £84 - £95

Price levels: 5 different prices over 72 days

Description

This Springer publication explores the intersection of artificial intelligence and cybersecurity, providing comprehensive coverage of machine learning and deep learning techniques applied to modern security challenges. The book examines how AI-driven approaches can detect threats, identify vulnerabilities, and strengthen defensive systems across digital infrastructure. Designed for security professionals, data scientists, and academic researchers, it combines theoretical foundations with practical applications in real-world cybersecurity scenarios. Whether you're seeking to understand neural networks in threat detection, algorithmic approaches to anomaly identification, or the future of AI-powered security architecture, this resource delivers essential knowledge for professionals navigating the evolving landscape of intelligent security solutions.

Key Features

Springer publication covering machine learning and deep learning methodologies tailored specifically for cybersecurity applications.

Addresses practical implementation of AI techniques to detect, prevent, and respond to modern security threats effectively.

Comprehensive exploration of how artificial intelligence strengthens cybersecurity defences across networks and systems.

Suitable for security professionals, data scientists, researchers, and anyone building expertise in AI-driven security strategies.

Combines theoretical frameworks with real-world case studies demonstrating machine learning applications in threat identification.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
10 May 2025
Listed Since
12 December 2024

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