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Top 5 Programming Languages for Machine Learning Posted on : Jun 11 - 2018

The increasing demand for experts in machine learning during last few years has increased curiosity to know the programming languages which one can use in machine learning. But before discussing the best programming languages for machine learning you must have brief information about the concept of machine learning.

What is machine learning?

In the field of computer science, machine learning is a part of artificial intelligence that provides your computer an ability to learn to improve its performance with data, without being programmed exclusively. In today’s technical world machine learning is one of the fastest progressing concepts on which most of the tech giant companies are heavily investing to improve their merchandise.

In 1959, Arthur Samuel used the words machine learning for the first time to explore the construction of algorithms that can be used to predict on data by overcoming static programming instructions strictly to make predictions and decisions on the basis of data. Machine learning is used today in a number of computing works where the use of explicit programming and designing algorithms is not feasible like detection of a data breach by malicious insiders or network intruders etc.

Best programming languages for machine learning

In order to understand and work on machine learning, you will have to learn few programming languages. Some of the best programming languages used for machine learning are briefly discussed hereunder for your guidance.


Python has become a popular programming langue because it can be used flexibly for various purposes. For machine learning, it contains specific libraries like numpy and scipy which enable your computer to learn linear algebra and kernel methods for machine learning. While working on algorithms of machine learning then this language is greatly used as it has relatively easy syntax. It is the best programming language for beginners.

R Programming

This programming language was developed in Bell Labs as a modern version of S language. In order to provide flexibility in producing statistical models, R language is combined with lexical scoping. Several GNU packages available in R language make it a really powerful language for machine learning.

One can use R language to create useful algorithms and easy statistical visualization of those algorithms by using R studio. The industry has recently recognized the importance of R language even if it is popular with academic researchers since long. View More