Tag - Power

Data and Linguistics: Deep Learning In the Digital Age

In today’s global online community, words matter. They matter so much, in fact, that they have given rise to numerous instances of social backlash over the past decade. Even more recently, with reckless tweets from the likes of Roseanne Barr to the “...

IBM Corp

The Power of Thinking Big: IBM Research’s “5 in 5” Great scientific leaps rarely happen incrementally. They come from setting big, ambitious goals that move discovery forward. Think of the Wright brothers’ determination to fly, President John F. Kenn...

The Time Has Come for Data Scientists’ Own GitHub

If you have any working knowledge of the technological world, then you will be familiar with GitHub. The web-based hosting service enables the distribution of version-controlled code, encouraging the sharing and collaboration between those who use co...

Using Python to Drive New Insights and Innovation from Big Data

Download the whitepaper here Data science and machine learning have emerged as the keys to unlocking value in enterprise data assets. Unlike traditional business analytics, which focus on known values and past performance, data science aims to identi...

Visualization Best Practices for Business Analysts

As data gets bigger and bigger, and becomes an increasingly more substantial part of how businesses operate, it also becomes increasingly more crucial that organizations are equipped and prepared to best deal with that data. We’re past the point of h...

What is Anticipatory Design?

The Power and Risks of Anticipatory Design Choice is overrated. Soon, decisions will be made by our devices. It’s 07:00 am, your alarm goes off. Your mobile screen lightens up, shows your schedule and news you’ve missed while you were asleep. Meanwhi...

When the numbers don't tell the whole story

Anscombe's Quartet is a famous collection of four small data sets — just 11 (x,y) pairs each — that was developed in the 1970s to emphasize the fact that sometimes, numerical summaries of data aren't enough. (For a modern take on this idea, see also...