Artificial Intelligence
eBook - ePub

Artificial Intelligence

Humans at the Heart of Algorithms

  1. 704 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Artificial Intelligence

Humans at the Heart of Algorithms

About this book

An authoritative and accessible one-stop resource, the first edition of An Introduction to Artificial Intelligence presented one of the first comprehensive examinations of AI. Designed to provide an understanding of the foundations of artificial intelligence, it examined the central computational techniques employed by AI, including knowledge representation, search, reasoning and learning, as well as the principal application domains of expert systems, natural language, vision, robotics, software agents and cognitive modelling. Many of the major philosophical and ethical issues of AI were also introduced. This new edition expands and revises the book throughout, with new material to augment existing chapters, including short case studies, as well as adding new chapters on explainable AI, big data and deep learning, temporal and web-scale data, statistical methods and data wrangling. It expands the book's focus on human-centred AI, covering gender, ethnic and social bias, the need for transparency, intelligent user interfaces, and designing interactions to aid machine learning. With detailed, well-illustrated examples and exercises throughout, this book provides a substantial and robust introduction to artificial intelligence in a clear and concise coursebook form. It stands as a core text for all students and computer scientists approaching AI.

You can also visit the author website for further resources: https://alandix.com/aibook/.

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Yes, you can access Artificial Intelligence by Alan Dix in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half-Title
  3. Title
  4. Copyright
  5. Contents
  6. Preface
  7. About the Author
  8. CHAPTER 1: Introduction
  9. SECTION I: Knowledge-Rich AI
  10. SECTION II: Data and Learning
  11. SECTION III: Specialised Areas
  12. SECTION IV: Humans at the Heart
  13. SECTION V: Looking Forward
  14. BIBLIOGRAPHY
  15. INDEX