Whenever you deal with mathematics or normalization statistics, you will often need to take a large set of numbers and reduce it to a smaller scale. This is usually done with a normalization equation ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Jinsong Yu shares deep architectural insights ...

Single-cell RNA sequencing (scRNA-seq) has transformed the field of transcriptomics by making it possible for researchers to address fundamental questions that could not be tackled by bulk-level ...

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 ...

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 ...

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 ...

The word "normalize" has become, well, normal. Long before Donald Trump became the president-elect, his detractors warned against "normalizing" his myriad violations of campaign decorum: the bigotry ...

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 ...

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 ...