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2015-02-03
Big Data, Little Data, No Data - Scholarship in the Networked World - de Christine L. Borgman (Author)
Details Big Data, Little Data, No Data - Scholarship in the Networked World
Le tableau suivant répertorie des données supplémentaires sur Big Data, Little Data, No Data - Scholarship in the Networked World
| Le Titre Du Fichier | Big Data, Little Data, No Data - Scholarship in the Networked World |
| Date de Parution | 2015-02-03 |
| Traducteur | Keyanna Halimo |
| Quantité de Pages | 793 Pages |
| La taille du fichier | 33.27 MB |
| Langage | Français & Anglais |
| Éditeur | New Collector's Group |
| ISBN-10 | 9847044079-ALU |
| Format de eBook | PDF AMZ ePub EGT ODT |
| de (Auteur) | Christine L. Borgman |
| ISBN-13 | 408-6977741750-ZWZ |
| Nom de Fichier | Big-Data-Little-Data-No-Data-Scholarship-in-the-Networked-World.pdf |
Télécharger Big Data, Little Data, No Data - Scholarship in the Networked World Livre PDF Gratuit
Research data management as a “wicked problem” Library Review 64 45 356371 Borgman C L 2015 Big data little data no data scholarship in the networked world The MIT Press Cambridge MA Klump J 2017 Data as social capital and the gift culture in research Data Science Journal 16 14 18 Leonelli S 2016 Locating ethics in data science responsibility and accountability in global and distributed knowledge production systems
Big Data Big Data has become a buzz word in recent times Candidates are advised that actually studying the science and technology behind Big Data is an endeavor that is more arduous than the buzz word suggests It involves learning the theoretical background the tools and the algorithms that are used to treat large data volumes In return students will be prepared for the professional or academic future even when the hype around Big Data ceases one day
Drive better business decisions with an overview of how big data is organized analyzed and interpreted Apply your insights to realworld problems and questions
Le Guide pratique de l’Open Data a pour but d’aider les pouvoirs publics le personnel de la Banque mondiale et les utilisateurs à comprendre les principes fondamentaux de l The World Bank Working for a World Free of Poverty Menu
Big Data vs the Right Data There are Big Expectations for making predictions using Big Data without the need for tedious modeling However while models derived from data are very powerful in situations that closely ressemble the training data their accuracy in novel situations is questionable
Le gouvernement a lancé un « Plan Big Data » qui vise à positionner la France comme un leader mondial du secteur et prévoit la création de 80 000 emplois d’ici 2020 Le plan comprend notamment la mise en place de formations initiales et continues de data scientists