At A Glance - Meta Learning - Disruption Hub

In 1979, Donald B. Maudsley described meta learning as'the process by which learners become aware … and increasingly in control of habits of perception, inquiry, learning, and growth'. Maudsley was speaking in terms of social psychology, but the term has since been applied to computer science. In this field, meta learning refers to a subdivision of machine learning in which automatic learning algorithms are applied on meta data – data about data – rather than particular datasets. Traditionally, software models are trained on specific data that helps them achieve a certain task. In contrast, the meta learning approach attempts to make artificially intelligent systems more flexible through learning to learn.