Michele LaurelliBlog

Supervised Learning

/ˈsuːpərvaɪzd ˈlɜːrnɪŋ/

A machine learning paradigm where models learn from labeled training data with input-output pairs.

In italiano: Apprendimento Supervisionato

In supervised learning, algorithms learn to map inputs to outputs using labeled examples. The model is trained to minimize the difference between predictions and true labels. Common tasks include classification and regression.

Examples

  • Image classification with labels
  • Spam email detection
  • House price prediction