AI and the value of work

Introduction For those who follow Sopra Steria Analytics Sweden and expect the customary end-to-end manual to some model or technique, this post will be a major disappointment as it is entirely devoted to a discussion on the impact of AI on labor and on what could be called "the value of work". It is my... Continue Reading →

When AI goes Peltarion

A while ago, I wrote a blog post on convolutional networks (A gentle introduction to Image Recognition by Convolutional Neural¬†Network) in which I described the mathematics and inner workings of these networks. To write the post I created a model to classify "birds" and "airplanes" from a training set containing a total of 8000 images... Continue Reading →

DICOM, A useful and secure medical data format and an introduction to non-medical learning pathology detection using Convolution Neural Networks

Important note to the reader This blog can be seen as both a description of a particular R-package, oro.dicom, which is widely used in medical research in which imaging and patient information is used and as an introductory post to a future blog on pathology detection using convolutional neural networks. As many who read my... Continue Reading →

Visualization of data with maps

As a child I spent hours looking at atlases and desk globes. I was fascinated and dreamt myself away to all corners of the world....and I have today travelled and lived in most of the places I was dreaming of. Today, as an analyst, I enjoy combining data about different countries and I have found... Continue Reading →

The customer is always right….

....a brute force method to analyze customer reviews Two travellers headed for the same final destination but booked on different flights, one is satisfied and the other can't stop swearing about the service and that the airline couldn't do it's job properly. Who hasn't heard this one before? This could of course be isolated unfortunate... Continue Reading →

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