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Table of Contents
1. Machine Learning (ML): Data-Driven Learning
Two Key Approaches
Everyday Examples
2. Deep Learning (DL): Neural Networks at Work
Powerhouse Applications
3. Generative AI: Creating New Content
Examples
4. Agentic AI (Autonomous Agents)
Real-World Scenarios