These techniques cover most of what data scientists and related practitioners are using in their daily activities, whether they use solutions offered by a vendor, or whet...
We recently posted a challenge: creating data videos. You can check the challenge here, including training material and data to produce these videos, with open source so...
“There is no evidence that anybody has been converted by a pie chart.” So said Martin Palmer, secretary general of the Alliance of Religions and Conservation,...
Guest blog post by Martijn Theuwissen, co-founder at DataCamp.Other Python resources can be found here. Python is widely used for data analysis and you might have con...
Sales and marketing analytics are essential to unlocking commercially relevant insights, increasing revenue and profitability, and improving brand perception. With the he...
Big Data gets a lot of coverage these days, and it would be easy for anyone to believe that all the innovation is happening in the west, and particularly in Silicon Valle...
What do you think about Inora, a company that advertises itself as the New Linear Regression Approach – Scalable to Big Data. Our data scientist also developed aut...
Introduction We propose here a simple, robust and scalable technique to perform supervised clustering on numerical data. It can also be used for density estimation, and e...
These articles were controversial in the sense that they highlighted the differences between data science and other disciplines, at a time when many believed that data sc...
We all know the Internet loves cats. Cats that eat cheezburgers, cats that dance, cats that play piano… And cats that can tell strangers where you live. OK, the cat’s...