“If you have a hammer…” - 5 question to ask before starting a machine learning project
There is a saying that “if you have a hammer everything looks like a nail”. The lesson, of course, being that, even though hammers are an amazing tool for ha...
There is a saying that “if you have a hammer everything looks like a nail”. The lesson, of course, being that, even though hammers are an amazing tool for ha...
The argument goes like this: Climate models continue to have large uncertainties → these uncertainties are primarily caused by the parameterization of sub-gr...
It seems that in 2020 no domain of science is safe from the AI hype. This also includes weather and climate science where publications and conferences on AI ...
I am very happy to announce the launch of our Kaggle competition “Understanding Clouds from Satellite Images”. This competition is the culmination of literal...
Clicking on the Binder button will open an interactive notebook, in which you can reproduce all visualizations and results in this post.
Updated version of an earlier post after version 3 of fast.ai has been released.
In my previous posts I explained why reproducibility is an important topic that is probably underappreciated in the weather and climate sciences at the momen...
In my previous blog post I explained what reproducibility is, why it is important and how it could work in a practical sense. In this post, I will outline my...
Before I start let me thank and give credit to Sebastian Lerch of the Heidelberg Institute for Theoretical Studies (HITS), whose slides on the topics served ...
Recently, I found myself on a plane crossing the Atlantic. As I was looking out of the window I was struck by some spectacular views of the clouds beneath us...