Chapter 1, Introduction to AI for Cybersecurity Professionals, introduces the various branches of AI to be distinguished between, focusing on the pros and cons of the various approaches of automated learning in the field of cybersecurity. This chapter also covers the different strategies for learning the algorithms and their optimizations. The main concepts of AI will be shown in action using Jupyter Notebooks. The tools used in this chapter are Jupyter Notebooks, NumPy, and scikit-learn, and the datasets used are scikit-learn datasets and CSV samples.
Chapter 2, Setting Up Your AI for Cybersecurity Arsenal, introduces the main software requirements and their configurations. We will learn to feed a knowledge base with ...
