|Machine Learning and Security (O'Reilly)|
|Thursday, 08 March 2018|
This book provides a framework for discussing the interaction of two concepts: machine learning and security. Authors Clarence Chio and David Freeman examine a broad range of topics in the security space, and provide examples of how machine learning can be applied to augment or replace rule-based or heuristic solutions to problems like intrusion detection, malware classification, or network analysis. In addition to exploring the core machine learning algorithms and techniques, the authors focus on the challenges of building maintainable, reliable, and scalable data mining systems in the security space.
Worked examples and guided discussions are used to show how to think about data in an adversarial environment and how to identify the important signals that can get drowned out by noise.
Author: Clarence Chio and David Freeman
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