Definition
Def
Supervised machine learning is a technique where a model is trained on labeled data, which are pairs of inputs and their correct outputs, so it can learn the mapping between them and predict outputs for new, unseen inputs.
Example :
Types of Supervised Machine Learning Algorithms:
- Regression (Used if output is continuous)
- Classification (Used if output is discreet)