Meaning of Supervised Learning

Simple definition

Supervised Learning is a type of machine learning where a model is trained using labeled data to make predictions or classifications.

Supervised learning is used for applications like spam detection, image recognition, and financial forecasting.

A supervised learning model can be trained to recognize whether an email is spam by being provided examples of labeled emails (spam or not).

Labeled data is data that has been tagged with the correct output, such as an image labeled “cat” or “dog.”

Supervised learning uses labeled data, while unsupervised learning works with unlabeled data and tries to find hidden patterns.

It is effective for problems with clear input-output pairs but not suitable for tasks without labels or clear outcomes.