labelling

Terms from Artificial Intelligence: humans at the heart of algorithms

The glossary is being gradually proof checked, but currently has many typos and misspellings.

Labelling is the process of giving data items some form of label, often a classification. In supervised machine learning, human labelling is often necessary for training, but sometimes there may be an automatic labelling, for example, if there are multiple kinds of sensors, or post-hoc knowledge about outcomes. The execution phase of machine learning often involves allocating labels to unlabelled data.

Used in Chap. 9: pages 128, 129; Chap. 12: page 173; Chap. 20: page 318