Machine learning models and algorithms 

In order to teach machines how to solve a large number of problems by themselves, we need to consider the different machine learning models. As you know, we need to feed the model with data; that is why machine learning models are pided, based on datasets entered (input), into four major categories: supervised learning, semi-supervised learning, unsupervised learning, and reinforcement. In this section, we are going to describe each model in a detailed way, in addition to exploring the most well-known algorithms used in every machine learning model. Before building machine learning systems, we need to know how things work underneath the surface.