Machine Learning and Security: Protecting Systems with Data and Algorithms
by David Freeman, Clarence Chio
Machine Learning and Security explores the intersection of machine learning and cybersecurity. David Freeman and Clarence Chio present a focused examination of how data and algorithms can be used to protect systems, making this a relevant resource for readers interested in modern computer security and applied technology.
About This Book
Machine Learning and Security examines the relationship between data-driven algorithms and system protection.
The book focuses on applying machine learning concepts to security challenges and practices.
It is intended for readers interested in the intersection of computer science, algorithms, and cybersecurity.
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