Introduction I was recently asked to give a talk for junior data scientists about analytics and machine lerning. As much as I like to talk publicly, I was scratching my head about what I could offer these young minds, at least in novel knowledge. Let's face it: these people are fresh out of school and... Continue Reading →
The following blog post is a joint venture between Fredrik SCHALLING and Hampus PETTERSSON. For more information about the authors, please see our Authors section. Introduction Customer experience has since long been measured through actively reaching out in customer surveys through phone calls or questionnaires to get the current satisfaction of customers. Now good businesses... Continue Reading →
I haven't written a post in a very long time and I have gotten quite a few messages asking when the next post will be published. Too much work, a lovely summer and a lot of thinking about deep learning have kept me from writing and it is the latter I wish to talk... Continue Reading →
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 →
The field of computer vision for the purpose of object recognition is developing at a fast pace. Apart from the obvious examples of self-driving vehicles, there is a wide range of possible applications, such as the field of predictive maintenance of, for instance, power grids. The identification of power lines at risk (e.g. trees growing... Continue Reading →
Introduction - We do live in a better world A great number of voices claim that the world is in a terrible shape and that an apocalyptic future awaits us. The truth is that life has never been better. We live in a world in which extreme poverty has dropped from 30 percent in 1990... Continue Reading →
Important note to the reader: This post is a joint work between Serge DE GOSSON DE VARENNES and Micael STARCK. Introduction A great deal of effort has been made in facial emotion recognition in the past years. This is understandable since someone's face is what we are presented in most communicative situations and it is what... Continue Reading →
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 →
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 →
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 →
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