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 →

At the stop, waiting for the bus

The timetable says one time, the real-time system shows another and the reality something completely different. Many of us have at some point experienced the frustration of waiting for a bus to arrive at a given time, only to still be waiting 10 minutes after the given time. Can't trust the time shown on the... 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 →

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