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

GenEx System Aids in the Selection of Reference Genes for Standardizing mRNA Measurements Quantitative real-time PCR (qPCR) is currently the prime technique to measure gene expression. When properly ...

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 ...

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 ...

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 ...

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 ...

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 ...