TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

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

Choosing a Normalization Strategy for RT-PCR

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 ...
Semiconductor Engineering

Normalization Keeps AI Numbers In Check

AI training and inference are all about running data through models — typically to make some kind of decision. But the paths that the calculations take aren’t always straightforward, and as a model ...
Visual Studio Magazine

Data Prep for Machine Learning: Normalization

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 ...
Traders Magazine

Data Normalization Across the Trade Lifecycle: A Critical Driver for Both Front- and Back-Office

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 ...
dbta

Normalization in Data Modeling Does Not Always Mean Separation

When normalizing data structures, attributes congregate around the business keys that identify the grain at which those attributes derive their values. Attributes directly related to a person, ...
Visual Studio Magazine

Data Prep for Machine Learning: Normalization

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 ...