Machine Learning and Security: Protecting Systems With Data and Algorithms

Introduction to Machine Learning with Applications in Information Security (Chapman & Hall/Crc Machine Learning & Pattern Recognition)

Malware Data Science: Attack Detection and Attribution

Network Security Through Data Analysis: From Data to Action

Defensive Security Handbook: Best Practices for Securing Infrastructure

Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

The Hacker Playbook 3: Practical Guide To Penetration Testing

Zero Trust Networks: Building Secure Systems in Untrusted Networks

Mastering Machine Learning for Penetration Testing: Develop an extensive skill set to break self-learning systems using Python

Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists

Cybersecurity – Attack and Defense Strategies: Infrastructure security with Red Team and Blue Team tactics