Supervised machine learning algorithm

Supervised learning is a method used to enable machines to classify/predict object problems or situations based on the data fed to the machine.

Example

Suppose we take data of circle, triangle and square labels in the labeled data. We have a training model and we know the answer. It is very important in supervised learning that you already know the answer about lots of the given information which is coming out. When we have a huge couple of data coming in and new data coming out, we can train the model. The model now knows the difference between circles, triangles, squares and other shapes that we trained it to identify. We can send the squares and circles to predict a top on the square and second on the circle. This functionality is used in agriculture. In the field of agriculture, there is huge data for prediction with some assumptions.