Machine learning is a subset of AI that enables systems to learn from data. The three main paradigms are:
- Supervised Learning — learns from labeled training data
- Unsupervised Learning — discovers hidden patterns in unlabeled data
- Reinforcement Learning — learns through trial-and-error with rewards
The two most common paradigms differ fundamentally in how they use training data:
| Aspect | Supervised | Unsupervised |
|---|---|---|
| Labels | Requires labeled data | Works with unlabeled data |
| Goal | Predict outcomes | Discover hidden patterns |
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