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 ...

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 ...

Comparison of expression data requires normalization. The optimum normalization method depends on sample type, with the most common being to normalize to reference genes. It is critical to select ...

Understanding data encoding and normalization is an absolutely essential skill when working with neural networks. James McCaffrey walks you through what you need to know to get started. Dealing with ...

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.

In an effort to help healthcare organizations achieve more from their analytics – and better position them to take on new artificial intelligence and machine learning initiatives – InterSystems has ...

Forbes contributors publish independent expert analyses and insights. I write about the broad intersection of data and society. One of the most important but least told stories of the “big data” ...