Machine Learning
beginner
Supervised Learning
Training a model on labeled data to make predictions or decisions.
Detailed Explanation
Supervised learning is a type of machine learning where the algorithm learns from labeled training data. The model is trained on input-output pairs, where the desired output (label) is known. The goal is to learn a mapping function that can predict the output for new, unseen inputs. Common supervised learning tasks include classification (predicting a category) and regression (predicting a continuous value).
Examples
- Email spam detection
- House price prediction
- Image classification
Tags
labeled data
classification
regression