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Improving Machine Learning Tasks By Integrating Private Datasets

In the last decade, we have seen the emergence of two big families of datasets: the public and the private ones. Invaluable public datasets like Wikipedia, Wikidata, Open Corporates and others have been created and leveraged by organizations world-wide. However, as great as they are, most organization still rely on private datasets of their own curated data. In this article, I want to demonstrate how high-value private datasets may be integrated into the Cognonto’s KBpedia knowledge base to produce a significant impact on the quality of the results of some machine learning tasks.
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