I'll explore data-related challenges, the increasing importance of a robust data strategy and considerations for businesses ...

Whenever you deal with mathematics or normalization statistics, you will often need to take a large set of numbers and reduce it to a smaller scale. This is usually done with a normalization equation ...

Anderson discusses how AI can be used to take data collected by different processes and bring it into a usable format. AI and machine learning are based around data, but as anyone in the ...

AI training and inference are all about running data through models — typically to make some kind of decision. But the paths that the calculations take aren’t always straightforward, and as a model ...

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 ...