Machine Learning Must Know — From Raw to Training Data

This topic seems too rudimentary, yet I found most machine learning books do not cover. Most machine learning books cover the techniques to split the modeling data randomly into training, test and validation datasets, then the topics quickly turn into k-fold cross-validation. But wait, how do we prepare the modeling data? The number of transactions of a credit card company can be billions, but…