What is Supervised Learning?

Supervised learning is a type of machine learning where an algorithm learns from a labeled dataset. This means that each data point in the dataset is paired with a corresponding correct output, or "label." The algorithm's goal is to learn a function that maps inputs to outputs, so that when given new, unseen inputs, it can predict the correct output based on the patterns it learned from the labeled data.

Visit the following resources to learn more:

• @article@What is Supervised Learning?
• @article@Supervised Machine Learning
• @video@Supervised Machine Learning Explained For Beginners