This chapter covers background topics that are foundational to the concepts discussed in this book. While covering these topics, this chapter establishes a consistent notation. Though non-comprehensive, specifically useful technical background not covered in this section will be discussed at the outset of the chapter in which it is most useful.

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Explainability in Machine Learning: Preliminaries and Overview

  • Francesco Leofante,
  • Matthew Wicker

摘要

This chapter covers background topics that are foundational to the concepts discussed in this book. While covering these topics, this chapter establishes a consistent notation. Though non-comprehensive, specifically useful technical background not covered in this section will be discussed at the outset of the chapter in which it is most useful.