Supervised Clustering: How to Use SHAP Values for Better Cluster Analysis
Cluster analysis is a popular method for identifying subgroups within a population, but the results are often challenging to interpret
Utility vs Understanding: the State of Machine Learning Entering 2022
The empirical utility of some fields of machine learning has rapidly outpaced our understanding of the underlying theory: the models
Explaining Machine Learning Models: A Non-Technical Guide to Interpreting SHAP Analyses
With interpretability becoming an increasingly important requirement for machine learning projects, there's a growing need for the complex outputs of techniques such as SHAP to be communicated to non-technical stakeholders.
Could Vaccinating Young People Before Old People Save More Lives?
Vaccines are tackling the COVID-19 pandemic in two ways: reducing the severity of infections, and preventing their transmission. Both mechanisms
Scottish People Are More Inclined to Skip the Gym and Watch the Footy Than English People
England and Scotland's much-anticipated clash in the Euro 2020 group stages culminated in a lacklustre 0-0 draw. But
