Learn how to merge data in R 3 ways: base R, dplyr, and data.table and never forget syntax to pivot wider and pivot longer. If you’re a tidyverse user, there’s plenty here on tidyr and dplyr.

From Python and Java to C++, R and Lisp, these languages offer powerful capabilities for working with machine learning algorithms to build AI apps.

Overview Python continues to dominate as the most popular coding language for AI development.Emerging AI development languages like Julia and R are gaining trac ...

The R programming language is an important tool for development in the numeric analysis and machine learning spaces. With machines becoming more important as data generators, the popularity of the ...

Toolbox Published: 29 December 2014 Programming tools: Adventures with R Sylvia Tippmann Nature 517, 109–110 (2015) Cite this article ...

The choice of programming language is not a simple one, and in the end it may not even be the most important one either. As pointed out by Luiz Eduardo Le Masson, data science leader at Stone Co.: ...

Cons R may not be as suitable for general-purpose programming beyond statistical computing. It may not have the same level of industry-wide adoption as other languages.

Whether playing the guitar, trying a new sport, learning to code, or really attempting to do anything new. You’re motivated enough to reach a certain point in the learning process.

Regardless of the reasons, R is still on track to become TIOBE’s programming language of 2020, an accolade bestowed to the language that earns the highest rise in ratings over the course of a year.

Tiobe now places R in 21st position and suggests the language isn't benefiting as much as Python from the boom in data science and machine learning. Both languages have become popular among data ...