Table of Contents
Preface
Section 1: Introduction to Machine Learning Interpretation
Chapter 1: Interpretation, Interpretability, and Explainability; and Why Does It All Matter?
Technical requirements
What is machine learning interpretation?
Understanding a simple weight prediction model
Understanding the difference between interpretability and explainability
What is interpretability?
What is explainability?
A business case for interpretability
Better decisions
More trusted brands
More ethical
More profitable
Summary
Image sources
Further reading
Chapter 2: Key Concepts of Interpretability
Technical requirements
The mission
Details about CVD
The approach
Preparations
Loading the libraries
Understanding and preparing the data
Learning about interpretation ...
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