Representation Machine Learning

**Definition:** A class of machine learning approaches that allow a system to discover the representations required for feature detection or classification from raw data. The requirement for manual feature engineering is reduced by allowing a machine to learn the features and apply them to a given activity.

**Tree numbers:** - G17.035.250.500.493 - L01.224.050.375.530.493

**Synonyms:** - Representation Learning, Machine