Approximating Shapley Values for Machine Learning
The how and why of Shapley value approximation, explained in code
How Shapley Values Work
In this article, we will explore how Shapley values work - not using cryptic formulae, but by way of code and simplified explanations
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
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.