High Performance Data Analysis with R
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F23%3A10252590" target="_blank" >RIV/61989100:27740/23:10252590 - isvavai.cz</a>
Výsledek na webu
<a href="https://events.it4i.cz/event/163/" target="_blank" >https://events.it4i.cz/event/163/</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
High Performance Data Analysis with R
Popis výsledku v původním jazyce
This course was focused on data analysis and modeling in R statistical programming language. The first day of the course introduced how to approach a new dataset to get a better understanding of the data and its features. Modeling based on the modern set of packages jointly called TidyModels was shown afterward. This set of packages strives to make the modeling in R as simple and as reproducible as possible.The second day was focused on increasing the efficiency of computation by introducing Rcpp for seamless integration of C++ code into R code. A simple example of CUDA usage with Rcpp was shown. In the afternoon, the section on parallelization of the code with future and/or MPI was presented.
Název v anglickém jazyce
High Performance Data Analysis with R
Popis výsledku anglicky
This course was focused on data analysis and modeling in R statistical programming language. The first day of the course introduced how to approach a new dataset to get a better understanding of the data and its features. Modeling based on the modern set of packages jointly called TidyModels was shown afterward. This set of packages strives to make the modeling in R as simple and as reproducible as possible.The second day was focused on increasing the efficiency of computation by introducing Rcpp for seamless integration of C++ code into R code. A simple example of CUDA usage with Rcpp was shown. In the afternoon, the section on parallelization of the code with future and/or MPI was presented.
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
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OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
<a href="/cs/project/MC2301" target="_blank" >MC2301: National Competence Centres in the framework of EuroHPC Phase 2 - EUROCC 2</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2023
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů