Reading
The following material is optional. However, interested readers are encouraged to peruse it.
Interpretability in Machine Learning: An Overview
Owen Shen
November 21, 2020
This web article presents and develops the problem of interpretability in machine learning. Several examples are used to illustrate the concepts.
Read: Interpretability in Machine Learning: An Overview
From Exploring to Building Accurate Interpretable Machine Learning Models for Decision-Making: Think Simple, not Complex
Yadvinder Bhuller, Health Canada; Keith O’Rourke
Health Canada
This web article from Health Canada provides a technical discussion of interpretability in machine learning.
