Snapshot on Supervised learning

Machine learning is the science and art of giving computers the ability to learn to make decisions from data without being explicitly programmed. Let’s get some examples for that, e.g. your computer can learn to predict whether an email is a spam or not spam given its content. another example: your computer can learn to cluster articles into different categories based on the words they contain. It could then assign any new article to one of the existing clusters that assigned before.

in the first example, we are trying to predict a particular class label, that is, spam or not spam. In the second example, there is no such label to assign the data to.

When there are labels present, we call it supervised learning. When there are no labels present, we call it unsupervised learning.

In this article, we will go through the previous two types to know each of them.