Hands-On Artificial Intelligence for Cybersecurity

Matrix operations with NumPy

As anticipated, matrices and the operations executed on them are of particular importance in the field of ML, and, more generally, they are used to conveniently represent the data to be fed to AI ​​algorithms.

Matrices are particularly useful in the management and representation of large amounts of data.

The notation itself is commonly used to identify the elements of a matrix, making use of positional indexes that allow the execution of consistent, rapid fashion operations, and calculations that concern either the whole matrix or just specific subsets. For example, the element is easily identified within the matrix, ...