##### Asked by: Rut Omelyuk

asked in category: General Last Updated: 21st January, 2020# What is R Machine Learning?

**Machine Learning**in

**R**

**Machine learning**is a branch in computer science that studies the design of algorithms that can learn. Typical

**machine learning**tasks are concept

**learning**, function

**learning**or “predictive modeling”, clustering and finding predictive patterns.

Furthermore, can R be used for machine learning?

You **Can Use R** For **Machine Learning** If you know how to program with another programming language like Java, C#, JavaScript or Python then you **can use R**. You **will** pick-up the syntax very quickly. You **do** not need to be a good programmer.

Beside above, what is r learning? **R** is a programming language developed by Ross Ihaka and Robert Gentleman in 1993. **R** possesses an extensive catalog of statistical and graphical methods. It includes machine **learning** algorithm, linear regression, time series, statistical inference to name a few.

Similarly one may ask, is R or Python better for machine learning?

Having said that, **R** has a **better** community for data exploration and **learning**. It has extensive visualization capabilities. **Python**, on the other hand, has become **better** at data handling since introduction of pandas. **Learning** and development time is very less in **Python**, as compared to **R** (**R** being a low level language).

Why is R used for machine learning?

**R** for **machine learning** and data analysis Labeling data, filling missing values, and filtering are all simple and intuitive in **R**, which emphasizes user-friendly data analysis, statistics, and graphical models. Since **R** was built as a statistical language, it has great statistical support overall.