In machine learning the training (or learning) phase uses training data to create a model that is subsequently used for new situations/inputs in the application phase. In some cass there may be a separate validation phase.
The two main forms of 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 the system looks for patterns or clusters in the data.
Used in Chap. 5: page 60; Chap. 6: page 76; Chap. 9: pages 117, 118
Also known as learning phase, training
Training phase of machine learning.