SHAP

May
16
Supervised Clustering: How to Use SHAP Values for Better Cluster Analysis

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.
9 min read
Nov
01
Explaining Machine Learning Models: A Non-Technical Guide to Interpreting SHAP Analyses

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.
12 min read