Supervised Machine Learning
Supervised ML relies on labelled input and output data to learn and make predictions, while unsupervised learning does not.
Examples
- Spam detection
- Text classification
- Predicting stock market
Supervised ML relies on labelled input and output data to learn and make predictions, while unsupervised learning does not.