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.

Read: From Exploring to Building Accurate Interpretable Machine Learning Models for Decision-Making: Think Simple, not Complex

 

 

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