For decades, visualization was the final stop on the data journey. It was optional—"good to have" on top of data analytics. Analysts would gather numbers, then clean and process, and only at the end ...

“A picture is worth a thousand words”. This is as true for data as it is for art. With the advent of big data, there is a tremendous need to manage, interpret and communicate it effectively – because ...

Feature selection and classification are central to biomedical data analysis, enabling researchers to distil high-dimensional datasets into manageable, informative subsets and accurately categorise ...

Here's a complete end-to-end demo of what Dr. James McCaffrey of Microsoft Research says is arguably the simplest possible classification technique. The goal of a machine learning classification ...

Instead of telling people about a story/data/information, show them. Humans are inherently programmed to respond to the visual and our brains process images 60,000 times faster than text. Images seen ...

For data to be useful to humans, we have to be able to visualize it in a way that lets us understand the story it tells, and communicate it to others. Data visualization tools are constantly evolving ...

As organizations evolve, traditional data classification—typically designed for regulatory, finance or customer data—is being stretched to accommodate employee data. While classification processes and ...