Demystifying Artificial Intelligence
eBook - ePub

Demystifying Artificial Intelligence

Symbolic, Data-Driven, Statistical and Ethical AI

  1. 476 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Demystifying Artificial Intelligence

Symbolic, Data-Driven, Statistical and Ethical AI

About this book

This book is intended for business professionals that want to understand the fundamental concepts of Artificial Intelligence, their applications and limitations. Built as a collaborative effort between academia and the industry, this book bridges the gap between theory and business application, demystifying AI through fundamental concepts and industry examples. The reader will find here an overview of the different AI techniques to search, plan, reason, learn, adapt, understand and interact. The book covers the two traditional paradigms in AI: the statistical and data-driven AI systems, which learn and perform by ingesting millions of data points into machine learning algorithms, and the consciously modelled AI systems, known as symbolic AI systems, which use explicit symbols to represent the world and make conclusions. Rather than opposing those two paradigms, the book will also show how those different fields can complement each other.

All royalties go to a charity.

"Demystifying AI reveals its true power: not as a mysterious force, but as a tool for human progress, accessible to all who seek to understand it."

Dr. Barak Chizi, Chief Data & Analytics Officer, KBC Group

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Information

Publisher
De Gruyter
Year
2024
Print ISBN
9783111425672
eBook ISBN
9783111426303

Table of contents

  1. Title Page
  2. Copyright
  3. Contents
  4. 1 Preface and introduction
  5. 2 A holistic view of AI techniques, their limitations and complementarities
  6. 3 Solve problems by searching, including with constraints, a fundamental pillar
  7. 4 Reasoning with first-order logic
  8. 5 Knowledge representation and engineering with ontologies
  9. 6 Probabilistic reasoning: When the environment is uncertain
  10. 7 Learning from data
  11. 8 Between language and knowledge
  12. 9 Some words about ethics. The angles of fairness and transparency
  13. 10 Industry examples where different AI techniques are combined
  14. 11 Conclusion – Moving forward
  15. Subject Index

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Yes, you can access Demystifying Artificial Intelligence by Emmanuel Gillain in PDF and/or ePUB format, as well as other popular books in Computer Science & Data Processing. We have over 1.5 million books available in our catalogue for you to explore.