Which type of learning would be best suited for categorizing news articles into topics without pre-defined categories?
- Reinforcement learning
- Semi-supervised learning
- Supervised learning
- Unsupervised learning
Unsupervised learning is the best choice for categorizing news articles into topics without predefined categories. Unsupervised learning algorithms can cluster similar articles based on patterns and topics discovered from the data without the need for labeled examples. Reinforcement learning is more suitable for scenarios with rewards and actions. Supervised learning requires labeled data, and semi-supervised learning combines labeled and unlabeled data.
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