Machine Learning and Security: Protecting Systems with Data and Algorithms
by David Freeman, Clarence Chio
Learn how machine learning and data-driven algorithms can help protect systems from security threats and vulnerabilities in this practical guide.
About This Book
This book explores the intersection of machine learning and security, providing foundational knowledge for protecting systems using data-driven approaches.
Readers will learn how algorithms can be applied to identify vulnerabilities and respond to security challenges in modern computing environments.
The content covers core concepts in both machine learning and cybersecurity, making it suitable for practitioners and researchers alike.
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