Mini toolsDefinition
A type of machine learning where models are trained on labeled data.
Detailed Explanation
Supervised Learning involves training a model on a labeled dataset where each training example is paired with an output label. The model learns to map inputs to outputs by minimizing a loss function enabling it to make predictions on new unseen data.
Use Cases
Image classification (labeling images) spam detection (classifying emails) speech recognition (transcribing audio) medical diagnosis (predicting diseases) fraud detection (identifying fraudulent transactions).
