This standalone blog post is describing my exploration of the very relevant Machine Learning questions: How big of a dataset do I need for training?How long do I have to…
This blogpost is a continuation and exploration of the learnings shared in the previous blogpost Using ML to detect fake face images created by AI but focuses on understanding the…
Improving a classifier to hold up in production In this blog post, I will walk you through the steps on how I built and improved a supervised Machine Learning classifier…
4 intense days together with ca 2000 other Data Science (DS) practitioners, enthusiasts and professionals at the Open Data Science Conference (ODSC) in London 19-22 November 2019. This conference is…