,Contents
Foreword
Preface
Model Syllabus for AI for Everyone
Acknowledgements
About the Authors
Chapter 1 Introduction
1.1 The Journey of Artificial Intelligence (AI)
1.1.1 The Early Years of AI: 1940s and 1950s
1.1.2 The Initial Journey: 1960s
1.1.3 First AI Winter: 1970s
1.1.4 Renewed AI Excitement: 1980s
1.1.5 AI in the 1990s
1.1.6 The Reinvention of AI: The 2000s Revolution
1.1.7 The AI Renaissance: Transforming the 2010s
1.1.8 And the AI Journey is on
1.2 What is AI?
1.2.1 Machine Learning: The Heart of AI
1.2.2 Pattern Recognition: The Power to Distinguish
1.2.3 Natural Language Processing (NLP): Conversations with Computers
1.2.4 Computer Vision: Seeing the World Through AI Eyes
1.3 Artificial General Intelligence (AGI)
,1.3.1 Distinction from Narrow or Weak AI
1.4 Industry Applications of AI
1.4.1 Banking and Finance
1.4.2 Insurance
1.4.3 Healthcare
1.4.4 Retail and E-commerce
1.4.5 Manufacturing
1.4.6 Entertainment
1.4.7 Agriculture
1.4.8 Education
1.5 Challenges in AI
1.5.1 Data Privacy
1.5.2 Bias and Fairness
1.5.3 Transparency and Explainability
1.5.4 Ethical Concerns
1.5.5 Job Displacement
1.5.6 Regulation and Standards
1.5.7 Security Risks
1.5.8 Resource Intensiveness
1.5.9 Lack of Skilled Workforce
1.5.10 Interoperability
1.5.11 Accountability
1.6 Conclusion
, 1.7 Summary
1.8 Practice Exercises
1.8.1 Subjective Questions (10 Marks)
1.8.2 Subjective Questions (5 Marks)
1.8.3 Short Answer-type Questions (2 Marks)
1.8.4 Multiple-choice Questions (1 Mark)
1.9 Answer Keys
1.9.1 Multiple-choice Questions
Chapter 2 AI Subfields
2.1 Introduction
2.2 Computer Vision
2.2.1 Object Detection
2.2.2 Facial Recognition
2.2.3 Scene Understanding
2.2.4 Medical Imaging
2.2.5 Prominent Applications of Computer Vision
2.3 Natural Language Processing
2.3.1 Text Classification
2.3.2 Named Entity Recognition (NER)
2.3.3 Question Answering
2.3.4 Machine Translation
2.3.5 Text Generation
Foreword
Preface
Model Syllabus for AI for Everyone
Acknowledgements
About the Authors
Chapter 1 Introduction
1.1 The Journey of Artificial Intelligence (AI)
1.1.1 The Early Years of AI: 1940s and 1950s
1.1.2 The Initial Journey: 1960s
1.1.3 First AI Winter: 1970s
1.1.4 Renewed AI Excitement: 1980s
1.1.5 AI in the 1990s
1.1.6 The Reinvention of AI: The 2000s Revolution
1.1.7 The AI Renaissance: Transforming the 2010s
1.1.8 And the AI Journey is on
1.2 What is AI?
1.2.1 Machine Learning: The Heart of AI
1.2.2 Pattern Recognition: The Power to Distinguish
1.2.3 Natural Language Processing (NLP): Conversations with Computers
1.2.4 Computer Vision: Seeing the World Through AI Eyes
1.3 Artificial General Intelligence (AGI)
,1.3.1 Distinction from Narrow or Weak AI
1.4 Industry Applications of AI
1.4.1 Banking and Finance
1.4.2 Insurance
1.4.3 Healthcare
1.4.4 Retail and E-commerce
1.4.5 Manufacturing
1.4.6 Entertainment
1.4.7 Agriculture
1.4.8 Education
1.5 Challenges in AI
1.5.1 Data Privacy
1.5.2 Bias and Fairness
1.5.3 Transparency and Explainability
1.5.4 Ethical Concerns
1.5.5 Job Displacement
1.5.6 Regulation and Standards
1.5.7 Security Risks
1.5.8 Resource Intensiveness
1.5.9 Lack of Skilled Workforce
1.5.10 Interoperability
1.5.11 Accountability
1.6 Conclusion
, 1.7 Summary
1.8 Practice Exercises
1.8.1 Subjective Questions (10 Marks)
1.8.2 Subjective Questions (5 Marks)
1.8.3 Short Answer-type Questions (2 Marks)
1.8.4 Multiple-choice Questions (1 Mark)
1.9 Answer Keys
1.9.1 Multiple-choice Questions
Chapter 2 AI Subfields
2.1 Introduction
2.2 Computer Vision
2.2.1 Object Detection
2.2.2 Facial Recognition
2.2.3 Scene Understanding
2.2.4 Medical Imaging
2.2.5 Prominent Applications of Computer Vision
2.3 Natural Language Processing
2.3.1 Text Classification
2.3.2 Named Entity Recognition (NER)
2.3.3 Question Answering
2.3.4 Machine Translation
2.3.5 Text Generation
