The process of mechanical learning from data can take different forms, with different characteristics and predictive abilities.
In the case of ML (which, as we have seen, is a branch of research belonging to AI), it is common to distinguish between the following types of ML:
- Supervised learning
- Unsupervised learning
- Reinforcement learning
The differences between these learning modalities are attributable to the type of result (output) that we intend to achieve, based on the nature of the input required to produce it.
