Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Empromptu's "golden pipeline" approach tackles the last-mile data problem in agentic AI by integrating normalization directly into the application workflow — replacing weeks of manual data prep with ...

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 ...

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 ...

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 ...

Generate more value from data across the enterprise with access to the most comprehensive real-time market data available. A consolidated feed from 35 million instruments provides sophisticated ...

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 ...