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 ...

Quantitative proteomics is widely used for examining differences in global protein expression between cellular states and in disease biomarker and target discovery 3,7,8,9,10. Current methods for use ...

Normalization of RNA-sequencing (RNA-seq) data has proven essential to ensure accurate inference of expression levels. Here, we show that usual normalization approaches mostly account for sequencing ...

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.

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 ...

An internal email sent in error to a Belgian journalist describes Facebook's strategy for changing the narrative about data scraping ahead of further incidents. Katie ...

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 ...

Data clustering, or cluster analysis, is the process of grouping data items so that similar items belong to the same group/cluster. There are many clustering techniques. In this article I'll explain ...

As CTO, Nick leads OAG’s technology strategy and execution, focusing on emerging technology to enhance products and services for customers. A data business can be described as a company whose primary ...