What’s the difference between supervised, unsupervised, and reinforcement learning?
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Supervised Learning: Uses labeled data (e.g., classification, regression).
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Unsupervised Learning: Finds hidden patterns in unlabeled data (e.g., clustering).
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Reinforcement Learning: Learns actions through trial-and-error using rewards.
Practical exercises in Artificial Intelligence Course Online demonstrate each learning type through real-world examples.
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