Tag: diagrams

Uncertainty calibration is one of the most misunderstood concepts in machine learning. It can be encapsulated in this simple question: “Are you taking an umbrella given the above probabilities of rain?” We use the concepts of subjective probability and uncertainty calibration in our d...

As a stellar astrophysicist myself, I can’t help but falling in love with this diagram, which is the key in the understanding of stellar evolution and stellar population analysis. This tool was developed independently by Ejnar Hertzsprung and Henry Norris Russell in the early 1900s. What it...