Hands-On Artificial Intelligence for Cybersecurity

Dealing with raw data

A first screening is conducted on the basis of the nature of the numerical values that are to be associated with our models. We should ask ourselves whether the number values we require are only positive or negative, or just Boolean values, whether we can limit ourselves to certain orders of magnitude, whether we can determine in advance the maximum value and the minimum value that the features can assume, and so on.

We can also artificially create complex features, starting from simple features, in order to increase the explanatory, as well as the predictive, capacity of our models.

Here are some of the most common transformations applicable to transforming raw data into model features:

• Data binarization
• Data binning ...