Types of Explainability Techniques

Explainability Techniques are classified into multiple groups based on different elements. The book concentrates on the implementation of explainable techniques on different types of systems and data set types. Based on the type of data and type of model the techniques can be divided into three.

Classical Explainability

These are the techniques that are applied to classical machine learning algorithms which apply to tabular datasets.

Computer Vision Explainability

These are the techniques that are applied to Computer Vision algorithms for image datasets.

Natural Language Explainability

These are the techniques used for explaining the algorithms working on textual datasets.