Artificial Intelligence, Simply Explained: A Plain-English Introduction LIGHTHOUSE BOOKS
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.
Contents
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