General AI
Supervised Learning
Definition
A machine learning approach where models learn from labeled training data to make predictions on new, unseen data.In-Depth Explanation
In supervised learning, the algorithm is trained on input-output pairs where the correct answers (labels) are provided. The model learns to map inputs to outputs by minimizing prediction errors. Common tasks include classification (predicting categories) and regression (predicting continuous values). Most practical ML applications use supervised learning.
Real-World Example
Training a spam filter by showing it thousands of emails labeled as "spam" or "not spam" so it can classify new emails.
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