{"id":240853,"date":"2021-09-24T04:52:14","date_gmt":"2021-09-24T04:52:14","guid":{"rendered":"https:\/\/imarticus.org\/?p=240853"},"modified":"2021-10-15T12:56:13","modified_gmt":"2021-10-15T12:56:13","slug":"which-is-better-for-machine-learning-r-or-python","status":"publish","type":"post","link":"https:\/\/imarticus.org\/blog\/which-is-better-for-machine-learning-r-or-python\/","title":{"rendered":"Which Is Better For Machine Learning R or Python?"},"content":{"rendered":"

Machine learning is not a single science. It comprises a blend of fields such as analysis, recognition, prediction and decision making. There are several open-source tools available for machine learning out of which R and Python are the most demanded or rather the most popular ones. The main difference between the two languages has been seen in the fields of analysis and data science.<\/p>\n

Both the languages provide open source tools and support from a wide variety of libraries for machine learning but because of the high degree of robustness provided by the python packages such as Scikit-learn built on numpy and Scipy, Python is preferred more for machine learning. According to a recent survey, Python had an increment in its popularity and use from 53% to 69% within two years.<\/p>\n

Several machine learning courses aim at delivering courses dedicated to R and Python. The question as to whether an individual should learn both languages depends highly on the field of application and interest of an individual. Both languages have highly efficient ecosystems for machine learning tasks.<\/p>\n

The difference in popularity and use is because of the comfort of an individual with the programming language, interest and application needs. Also, job opportunities can be one of the deciding factors whether an individual should\u00a0learn Python<\/strong><\/a>\u00a0or R for machine learning.<\/p>\n

Provided below is a comparison of Python and R which could help an individual decide whether they need to learn both languages.<\/p>\n

R:<\/strong><\/p>\n

R was developed by the statisticians primarily for analysis. The programming language is based on the mathematical calculations comprising machine learning and hence forms a really important part of the statistics involved in the project. Thus, a project which is largely dependent on statistics should use R as a programming language.<\/p>\n

Advantages:<\/strong><\/p>\n