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 and action. Supervised clustering leverages SHAP values to identify better-separated clusters using a more structured representation of the data.
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 are unreasonably effective, but we're not entirely sure why.
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 epidemic in two ways: reducing the severity of infections, and preventing their transmission. Both mechanisms save lives, but the vaccination strategies that leverage each can be conflicting.
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 presented a unique opportunity to see how the nations' football fans adjusted their exercise routines to accommodate the occasion.