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 →
Breast Cancer Detection using Deep Learning – speeding up histopathology
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 →
A health-care inspired random forest model: Predicting risk of heart failure
In my previous blog post, Random Forest: An intuitive and an analytical introduction (part 1: Decision trees), I discussed the theory behind decision trees and was deliberately technical because I believe that understanding the methods used is a key to making good predictions. It is however not enough to have a theoretical knowledge of a particular... Continue Reading →