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

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 ...

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 ...

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 ...

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 ...

Do you agree? Data normalization isn’t the finish line. Harmonization is. Even after basic normalization, datasets can drift ...

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 ...

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 ...

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 ...