training phase

In machine learning the training phase uses training data to create a model that is subsequently used for new situations/imputs the application phase. In some cass there may be a separate validation phase.
The two main tor training are:

• supervised learning.– when the training data is labelled, that is each training data item consists of and input-output or input-class pair;


• unsupervised learning.– when there is no labelling and th system looks for patterns or clusters in the data.