A., S. Bais2023-03-202023-03-202018-05-01A. S. Bais .IMPROVE A LEARNER: A SURVEY OF TRANSFER LEARNING. Journal of Fundamental and sciences. vol.10, no 2. May 2018. Faculty of exact sciences. university of el oued. [visited in 04/03/2018]. available from [http://www.jfas.info]http://dspace.univ-eloued.dz/handle/123456789/17429articalTransfer learning is a subclass of machine learning, which uses training data (source), drawn from a diverse domain than that of the testing data (target). The real world is messy and contains an infinite range of novel eventualities. Transfer learning across different feature spaces is usually a tougher problem than Transfer Learning within the common feature space. This survey paper defines transfer learning to feature representation that maps the target domain to the source domains exploiting a set of meticulously manufactured features and applications to transfer learning. This paper systematically examines a feature based transfer techniques and reviews some current analysis on the topic of negative transferenData mining, survey, Transfer learning, Traditional machine learningArticle