Michael Green



I'm a technology driven theoretical physicist and AI scientist, trying to do my part in moving this world forward, one little baby step at a time.

Basically, just a guy trying to understand how the world works through physics.

Recent Posts

What does the prior actually do in a Bayesian analysis?

2020-12-06 bayesian prior posterior likelihood

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COVID-19 in Denmark - An epidemic in a small country

2020-03-17 corona virus model derivative epidemiology differentialequations pandemic

TL;DR The COVID-19 virus has struck the world with a rare force (Hui et al. 2020). In a matter of months it has affected 194 countries and territories ... Read More

A quick introduction to derivatives for machine learning people

2018-02-09 derivative machine learning total derivative ai

Introduction If you’re like me you probably have used derivatives for a huge part of your life and learned a few rules on how they work and behave ... Read More

The importance of context

2018-02-01 inference bayesian frequentist regression maximum likelihood

Motivation When we do modeling it’s of utmost importance that we pay attention to context. Without context there is little that can be inferred. ... Read More

Deep Neural Networks in Julia - Love at first sight?

2018-01-10 programming julia modeling deep learning

Motivation I love new initiatives that tries to do something fresh and innovative. The relatively new language Julia is one of my favorite languages. ... Read More