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 ...

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 ...

If there's one thing that comes up repeatedly when covering the financial technology sector, it's the need for C-level buy in. This makes complete sense: While there are some sexy IT projects, most ...

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 ...

When the healthcare industry talks about data, the conversation usually focuses on interoperability and data standards. These are certainly important topics, but they don’t fully address the challenge ...

An internal email sent in error to a Belgian journalist describes Facebook's strategy for changing the narrative about data scraping ahead of further incidents. Katie ...

Media has changed. Consumers not only have unprecedented choices but much higher expectations when consuming media. They demand privacy-compliant, seamless and tailored experiences across channels and ...

There are many types of experimental methods that often use normalization to fix the differences induced by factors other than what is immediately being analyzed. In particular, normalization can be ...