In this chapter, we'll distinguish between the various branches of Artificial Intelligence (AI), focusing on the pros and cons of the different approaches of automated learning in the field of cybersecurity.
We will introduce different strategies for learning and optimizing of the various algorithms, and we'll also look at the main concepts of AI in action using Jupyter Notebooks and the scikit-learn Python library.
This chapter will cover the following topics:
- Applying AI in cybersecurity
- The evolution from expert systems to data mining and AI
- The different forms of automated learning
- The characteristics of algorithm training and optimization
- Beginning with AI via Jupyter Notebooks
- Introducing AI in the context of cybersecurity
