Summary

This book was a practical guide for learning how to build machine learning projects to defend against cyber threats and malicious activities, using open source libraries, Python, and a set of open source projects. We didn't stop there; we also showed you how to attack those models using adversarial machine learning. Through that, you acquired a set of skills to analyze data, build defensive systems, and break next-generation safeguards. We finished the book by discussing many points to help you build better models.