A type of machine learning where the model is trained on a labeled dataset, meaning each training example is paired with an output. The model learns to map inputs to correct outputs.
� Delivers accurate predictions� Facilitates classification and regression tasks� Enables model evaluation� Useful in real-world AI applications
� Machine Learning� Neural Networks� Classification Algorithms
� Supervised vs. Unsupervised Learning� Supervised Learning Use Cases
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