Shulou(Shulou.com)06/02 Report--

This article mainly introduces "which is more suitable for machine learning, Python or R". In daily operation, I believe many people have doubts about which Python or R is more suitable for machine learning. The editor consulted all kinds of materials and sorted out simple and easy-to-use operation methods. I hope it will be helpful to answer the questions of "which is more suitable for machine learning, Python or R". Next, please follow the editor to study!

Python:

The python programming language was founded in the 1980s and was originally used in the internal framework of Google. Now it is widely used in YouTube,Instagram,Quora and Dropbox, python is widely used in IT business, development teams are often used to build the foundation, you need a general programming language and rich extension libraries, python is the first choice.

Python is a good choice for companies that want functions other than metrics and statistics. Python seems difficult to learn, in fact, it is very suitable for zero foundation, after learning, you will find it very easy to use; rich libraries, python's library is very rich, not only can be used to complete difficult projects, but also can improve the applicability of AI.

Python is superior to R in any design condition, so that python can link whether the designer uses a language such as C\ C++\ Java or not, and the syntax of python is very easy to understand, which can improve the efficiency of the team.

R language:

R language is created by statisticians, almost for analysts, and can be analyzed as long as they are familiar with its syntax. The language contains scientific calculations related to machine learning, which are derived from statistics, so R needs to improve its understanding of grammar.

If you need data validation frequently, R is the best choice because it can model quickly and build AI/ML models with data sets, similar to python, including different installation packages, which can improve the results of machine learning models.

At this point, the study of "which is more suitable for machine learning, Python or R" is over. I hope to be able to solve your doubts. The collocation of theory and practice can better help you learn, go and try it! If you want to continue to learn more related knowledge, please continue to follow the website, the editor will continue to work hard to bring you more practical articles!

Welcome to subscribe "Shulou Technology Information " to get latest news, interesting things and hot topics in the IT industry, and controls the hottest and latest Internet news, technology news and IT industry trends.