As most of you are aware the postponed 2020 summer Olympic Games in Tokyo took place this summer. What many of you might not be aware is that during that same time, four prospective data analysts waited for their first day at Sopra Steria. Much like this summer’s Olympics, which took place with empty stands... Continue Reading →
How long is an Eternity?
I once heard about an old Arabic definition of eternity. The definition was: “Imagine a pyramid in the desert, a thousand meters high, a thousand meters long and a thousand meters wide, made of pure diamond. Every thousand years, a small bird comes by and pecks at the pyramid [once]. When the pyramid is gone,... Continue Reading →
Sometimes…it’s just because we can: Deep Dreaming in R
A couple of years ago I saw a TED-talk on AI and the first pieces of art created with a neural network and I thought to myself "Wow! This is so cool!". My first passion growing up was drawing and I had a bizarre taste in pictures....they resembled quite a lot what is shown in... Continue Reading →
A gentle introduction to Image Recognition by Convolutional Neural Network
When people hear the words "Artificial intelligence" they most often tnink of either robots or automated system with the ability to distinguish between objects. The latter is what in the area of analytics knows as image recognition, a specific branch of a much wider set of techniques known as Deep Learning. When curious minds undertake... Continue Reading →
Random Forest: An intuitive and an analytical introduction (part 1: Decision trees)
In Sopra Steria Analytics Sweden's very first blog, 24-hour predictions of PM10 levels in urban environments, I applied Random Forest methods to predict levels of particles at street level in Stockholm. These methods are widely used to either predict values of measurements given features in a dataset (regression) or to segment objects or populations (classification).... Continue Reading →