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Uncertainty Modelling in Data Science 1st ed. 2019 edition
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Uncertainty Modelling in Data Science
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 | Böcker Bok |
| Releasedatum | 25 juli 2018 |
| ISBN13 | 9783319975467 |
| Utgivare | Springer International Publishing AG |
| Antal sidor | 234 |
| Mått | 150 × 220 × 20 mm · 382 g |
| Språk | Tyska |
| Redaktör | Denoeux, Thierry |
| Redaktör | Destercke, Sebastien |
| Redaktör | Gil, Maria Angeles |
| Redaktör | Grzegorzewski, Przemyslaw |
| Redaktör | Hryniewicz, Olgierd |