| Reference : What makes Data Science different? A discussion involving Statistics2.0 and Computati... |
| E-prints/Working papers : First made available on ORBilu | |||
| Physical, chemical, mathematical & earth Sciences : Multidisciplinary, general & others Engineering, computing & technology : Aerospace & aeronautics engineering Engineering, computing & technology : Computer science Engineering, computing & technology : Materials science & engineering Engineering, computing & technology : Mechanical engineering Engineering, computing & technology : Multidisciplinary, general & others | |||
| Computational Sciences | |||
| http://hdl.handle.net/10993/30235 | |||
| What makes Data Science different? A discussion involving Statistics2.0 and Computational Sciences | |
| English | |
| Ley, Christophe [Ghent University > Department of Applied Mathematics, Computer Science and Statistics] | |
Bordas, Stéphane  [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >] | |
| 21-Mar-2017 | |
| 8 | |
| No | |
| [en] High-dimensional statistics ; Interdisciplinary research ; Data science ; Computational science ; Machine learning ; Scientific computing ; Data Analytics ; Data-driven modelling ; Modelling | |
| [en] Data Science is today one of the main buzzwords be it in business, industrial or academic settings. Machine learning, experimental design, data-driven modelling are all, undoubtedly, rising disciplines if one goes by the soaring number of research papers and patents appearing each year. The prospect of becoming a ``Data Scientist'' appeals to many. A discussion panel organised as part of the European Data Science Conference (European Association for Data Science (EuADS)) asked the question: ``What makes Data Science different?'' In this paper we give our own, personal and multi-facetted view on this question, from an engineering and a statistics perspective. In particular, we compare Data Science to Statistics and discuss the connection between Data Science and Computational Science. | |
| European Research Council Starting Independent Research Grant (ERC Stg grant RealTcut, agreement No. 279578) | |
| RealTcut | |
| Researchers ; Professionals ; Students ; General public ; Others | |
| http://hdl.handle.net/10993/30235 | |
| FP7 ; 279578 - REALTCUT - Towards real time multiscale simulation of cutting in non-linear materials with applications to surgical simulation and computer guided surgery |
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