Uncertainty Modelling in Data Science - - Books - Springer International Publishing AG - 9783319975467 - July 25, 2018
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Uncertainty Modelling in Data Science 1st ed. 2019 edition

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Indeed, an important aspect of some of the learned predictive models is the trust placed in them. Modelling the uncertainty associated with the data and the models carefully and with principled methods is one of the means of increasing this trust, as the model will then be able to distinguish between reliable and less reliable predictions.

234 pages, 22 Illustrations, black and white; XI, 234 p. 22 illus.

Media Books     Book
Released July 25, 2018
ISBN13 9783319975467
Publishers Springer International Publishing AG
Pages 234
Dimensions 150 × 220 × 20 mm   ·   382 g
Language German  
Editor Denoeux, Thierry
Editor Destercke, Sebastien
Editor Gil, Maria Angeles
Editor Grzegorzewski, Przemyslaw
Editor Hryniewicz, Olgierd

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