In complex usage scenarios the data ends up going through these three stages back and forth, so for example if your data isn’t fully available at the start of the computation it can be sent in chunks which is an advantage of DAAL I mentioned earlier.

This is a tabular view of data where the columns represent features, these are properties or qualities of a real object or event, and the table rows represent observations which are feature vectors that are used to encode information for a real object or event. This is used in our machine learning regression example.