Hands-On Artificial Intelligence for Cybersecurity

Regression models

Regression models are undoubtedly the most used of all learning algorithms. Developed from statistical analysis, regression models have quickly spread in ML and in AI in general. The most known and used regression model is linear regression, thanks to the simplicity of its implementation and the good predictive capacity that it allows us to achieve in many practical cases (such as estimating the level of house prices in relation to changes in interest rates).

Alongside the linear model, there is also the logistic regression model, especially useful in the most complex cases, where the linear model proves to be too rigid for the data to be treated. Both models, therefore, represent the tools of choice for analysts and algorithm ...