Understanding Functions in AI

Every single data transformation we do in Artificial intelligence seeks to convert input-data to the most representative format required for the task we aim to solve… This conversion is done through functions. A machine-learning model transforms its input data into meaningful outputs. A process that is "learned" from exposure to known examples of inputs and outputs. Thus, the ML-model "learns a function" that maps its input data to the expected output. We have a table of a few data points, some belong to a "white" class and others to a "black" class.