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Navigating Diverse Data Science Learning: Critical Reflections Towards Future Practice

Published 5 Jul 2018 in cs.GL, cs.LG, and stat.ML | (1807.03750v1)

Abstract: Data Science is currently a popular field of science attracting expertise from very diverse backgrounds. Current learning practices need to acknowledge this and adapt to it. This paper summarises some experiences relating to such learning approaches from teaching a postgraduate Data Science module, and draws some learned lessons that are of relevance to others teaching Data Science.

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