What is Domain Adaptation?
Domain Adaptation is a
machine learning technique that aims to transfer knowledge or models learned from one domain to another related but different domain. It addresses the challenge of leveraging labeled data from a source domain to improve the performance of a model in a target domain where labeled data is scarce or unavailable.
