Artificial Intelligence, Simply Explained: A Plain-English Introduction

Artificial Intelligence, Simply Explained: A Plain-English Introduction

Built around how algorithms learn from examples and make errors, this accessible reference guide makes Artificial Intelligence practical through a plain-english introduction. The chapters will build an accessible vocabulary before introducing formal models, with checkable examples, practical exercises, and a clear path toward a clear understanding of evidence, trade-offs, and applications.

PublisherLighthouse Books, Delaware, USA

Universal Book ID1

SeriesSimply Explained

SubjectArtificial Intelligence

DisciplineAI & Computing

LanguageEnglish

CategoryReference / concepts

TagsArtificial Intelligence

Introduction: The Scope of Artificial Intelligence — A Plain-English Introduction
1. A Starting Question: how algorithms learn from examples and make errors
2. A Beginner's Map of Artificial Intelligence
3. The Vocabulary Behind Artificial Intelligence
4. A Closer Look at the Mechanism: a case involving how algorithms learn from examples and make errors
5. A Plain-English Introduction: An Applied Perspective
6. Evidence, Estimates, and Uncertainty: evidence surrounding how algorithms learn from examples and make errors
7. A Worked Example from Artificial Intelligence
8. Misconceptions Worth Retiring: mistakes in a plain-english introduction
9. Decisions, Society, and Trade-offs: a second application of Artificial Intelligence
10. Questions to Carry Forward: independent work on Artificial Intelligence
Conclusion: Next Steps and Independent Practice