Supervised vs Unsupervised Machine Learning

Artificial intelligence (AI) is being used to change our lives everyday. When it comes to building AI programs, there are two approaches programmers tend to choose: supervised or unsupervised machine learning. The simple distinction between these is supervised machine learning utilizes labeled data to predict outcomes, while unsupervised machine learning does not. There are, however, some differences between the two techniques, as well as critical areas where one surpasses the other. In this article, we will break down some of these differences with examples of both supervised and unsupervised learning. Understanding the differences between supervised vs unsupervised machine learning can be tricky, but we will try to sort it out starting with supervised learning.