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Chapter 2: Types of AI: Narrow AI, General AI, Super AI
Chapter 6: The Difference Between AI, ML, and DL
Chapter 7: How Machines Learn: A High-Level Overview
Chapter 8: What is Machine Learning (ML)?
Chapter 10: Supervised Learning: Learning from Labeled Data
Chapter 11: Unsupervised Learning: Finding Hidden Patterns
Chapter 17: Training vs. Testing: How ML Models Learn
Chapter 18: Overfitting and Underfitting in ML
Chapter 19: Bias in AI: Why It Happens and How to Fix It
Chapter 22: The Difference Between Machine Learning and Deep Learning
Chapter 26: Feedforward Neural Networks: The Basics
Chapter 27: Convolutional Neural Networks (CNNs): AI for Images
Chapter 28: Recurrent Neural Networks (RNNs): AI for Text & Speech
Chapter 32: AI in Smartphones, Social Media, and E-Commerce
Chapter 35: How AI is Used in Self-Driving Cars
Chapter 38: Generative AI: How AI Creates Text, Images, and Videos
Chapter 41: How AI Generates Music and Content
Chapter 52: How AI is Used in Warfare and Military Applications

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