Data can often feel overwhelming—rows upon rows of numbers, scattered information, and endless spreadsheets that seem to blur together. If you’ve ever stared at a dataset wondering how to make sense ...

This is the second in a series on what’s still broken in the analytics space. Part one dealt with data ownership, part two will address technology and part three will focus on people and processes.

Dr. James McCaffrey of Microsoft Research uses a full code sample and screenshots to show how to programmatically normalize numeric data for use in a machine learning system such as a deep neural ...