machine learning (supervised and unsupervised)

Machine learning is an area of data science that helps computers learn in ways similar to human learning. Supervised machine learning methods use data from the past to find patterns that can inform a mathematical model. The model is refined until it does a good job of matching what happened in the past data. Then, the model can make predictions about the future using new data from the present time. Unsupervised machine learning looks for patterns in data where there isn’t a clear pre-existing structure. For example, clustering is a form of unsupervised machine learning that tries to identify groups of similar items or people.