Examples of using Statistical computing in English and their translations into Bulgarian
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Statistical Computing Language and Environment S-PLUS R.
Graphical interface to the R environment for statistical computing.
For statistical computing. More information is available at.
R is also used for general statistical computing as well as graphics.
R language in Data Science is a programming language andsoftware environment for statistical computing and graphics.
One of the most broadly applicable statistical computing methods is Monte Carlo simulation.
R is a functional yet sophisticated programming language and environment for statistical computing and graphics.
R is a language and environment for statistical computing and graphics which can be seen as a different implementation of the S language.
R is a programming language andsoftware environment for statistical computing and graphics.
The R software is a free language and environment for statistical computing and graphics designed by Ross Ihaka and Robert Gentleman.
The newly developed computer model is available in a software package for Program R,a commonly used free software employed for statistical computing.
R is a language and environment for statistical computing and statistical graphics.
The computer model is now available in a software package for Program R, a widely used programming language andfree software environment for statistical computing.
It is a statistical programming environment and language for statistical computing and graphics which seems to be much better at data visualization.
Revolution Analytics is the leading commercial provider of software and services for R,the world's most widely used programming language for statistical computing and predictive analytics.
The term“split-apply-combine” was used by Wickham(2011)to describe a strategy for statistical computing, but it perfectly captures the process of many human computation projects.
Less than a year ago we decided to acquire Revolution Analytics, the leading commercial provider of software and services for R,the world's most widely used programming language for statistical computing and predictive analytics.
It is a statistical programming environment and language for statistical computing and graphics.
Last year Microsoft acquired Revolution Analytics, the leading commercial provider of software and services for R, an open source,statistical programming language that's widely used for statistical computing and predictive analytics.
It is conducted through R, programming language andfree software environment for statistical computing and graphics R.
R is a free, open-source programming language andsoftware environment for statistical computing, bioinformatics, and graphics.
This awesome animation was created using a simulation in R- an open-source programming language andsoftware environment that was specially created for statistical computing and modelling- and put together with ImageMagick GIF stitching.
Upon graduation, recent majors have found employment in business,management science, statistical research, computing, actuarial science, environmental research, and teaching.
Global demand for combined statistical and computing expertise outstrips supply, with evidence-based predictions of a major shortage in this area for at least the next 10 years.
The Program is designed to enable learners in the use of statistical analysis, computing tools, and mathematical models to predict the outcomes of various business decisions, and identify the best implementation.
The curriculum is designed to provide learners with a series of courses that emphasises the use of statistical analysis, computing tools, and mathematical models to predict the outcomes of various business decisions, and identify the best implementation.
Tfa extension, and the content of these treeSoft CashFlow Analysis data files may include text,numerical and statistical formulas for computing projections and other mathematical processes associated to the real estate property investments of the user.
Using common analytics software and tools, statistical and machine learning methods, and data-intensive computing and visualization techniques, learners will gain the experience necessary to integrate all of these parts for maximum impact.
In these moments, the scientific production andthe formative capacity of the researchers of the different groups in the field of the Scientific Computing, Mathematical, Mathematical Models and Statistical Techniques advises the creation of a specific doctorate program, with its own identity, that allows the consolidation of the research and transfer activity in this area.
In these moments, the scientific production andthe formative capacity of the researchers of the different groups in the field of the Scientific Computing, Mathematical, Mathematical Models and Statistical Techniques advises the creation of a specific doctorate program, with its own identity, that allows the consolidation of the research and transfer activity in this area.-.