What is Semi-Supervised learning?
A hybrid approach where the dataset contains a small amount of labeled data and a large amount of unlabeled data.
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More FAQs in Understanding Supervised vs Unsupervised Learning with Real Examples
Email spam detection, where emails are labeled as 'spam' or 'not spam', is a classic classification example.
Customer segmentation, where a business groups customers based on buying habits, is a classic clustering example.
No, Reinforcement Learning is a third paradigm where an agent learns by interacting with an environment to maximize rewards.
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