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  • 1.1 Demystifying the AI Taxonomies
  • 1.2 Supervised vs Unsupervised vs Reinforcement Learning
Module 1: AI, Machine Learning & Deep Learning Taxonomies•Lesson 2

1.2 Supervised vs Unsupervised vs Reinforcement Learning

### The Three Learning Paradigms
1. **Supervised Learning:** Learning from labeled $(x, y)$ pairs (e.g. predicting house prices or classifying spam).
2. **Unsupervised Learning:** Discovering hidden patterns or clusters in unlabeled data $x$ (e.g. customer segmentation).
3. **Reinforcement Learning:** Learning via trial-and-error rewards and penalties to achieve an objective in an environment.

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