Hands-On Artificial Intelligence for Cybersecurity

Feature engineering to the rescue

Therefore, in implementing our predictive models, we must not simply limit ourselves to specifying the choice of the algorithm(s), but we must also define the features required to power them. As such, the correct definition of features is an essential step, both for the achievement of our goals and for the efficiency of the implementation of our predictive model.

As we have said, the features constitute the numerical representations of the raw data. There are obviously different ways to convert raw data into numerical form, and these are distinguished according to the varying nature of the raw data, in addition to the types of algorithms of choice. Different algorithms, in fact, require different features ...