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 ...

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.

Data giant Bloomberg has launched an online data portal of normalized pricing and reference data, dubbed Enterprise Access Point, which is designed to make it easier for data scientists and artificial ...

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 ...

Tracer, a platform that attempts to consolidate an organization's data sources and enrich them with business insights, today announced that it raised $18.1 million in a Series A funding round co-led ...

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 ...

It’s time for traders to start paying attention to a data revolution underway that is increasingly impacting their ability to both scale their business and provide value to their clients. Capital ...

Exegy Inc., a provider of managed services and low-latency technology for market data normalization and distribution, announced the availability of low-latency normalized market data from the CME ...

This article explains how to programmatically normalize numeric data for use in a machine learning (ML) system such as a deep neural network classifier or clustering algorithm. Suppose you are trying ...