Learning paradigms

There is different strategies to train a model. Here is a summary:

Name	Description
Supervised Learning	The model is trained on labeled data
Self-supervised Learning	The model extracts labels itself from the data
Unsupervised Learning	The model tries to find patterns in unlabeld data
Reinforcement Learning	Model improve itself to get closer from an objective (reward mechanic)