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Which is the Best Programming Language for Machine Learning?

Which is the Best Programming Language for Machine Learning?

The artificial intelligence (AI) market is expected to be worth USD 407.0 Billion by 2027, growing at a CAGR of 36.2% from 2022 to 2027. The base year used for this study is 2012 and the forecast period is from 2022 to 2027.- MarketsandMarkets.com

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Now that the paradigm has taken a 180 degrees turn, simple problem-solving approach has taken a back foot and complex algorithms and heuristics are playing major role. However with the constant evolution of machine learning a strong and versatile programming language is what developers look for. MATLAB, R, Python, Java, ELM, etc., have gained immense popularity as programming languages, but which one is the most promising language for machine learning among all? and why?

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Comparing top five machine learning languages

Let’s do a comparative analysis of these languages:

Basis of ComparisonMATLABRPythonJavaExtreme Learning Machines



What are they?Matrix-based language used for computational mathematicsPurpose-built language used for statistical computingGeneral-purpose language used for bringing production systems into operationsFunctional programming language used for extensive codingHighly functional language used for developing user-interfaces
Best suited forRepresentation and execution of matricesComprehend and explore statistical dataIntegration and web developmentDevelopment of applicationsDeveloping web front-ends
StrengthBuilt-in graphics and comprehensive development environmentsNumerous machine learning algorithms present by defaultBroad range of libraries and user-friendlinessAccuracy and precisionStandard library full of graphic and text tools
WeaknessesInconsistent syntaxComplex syntax and lesser perfect packagesMore fragmentation reduces productivityInefficient architecture codeNot useful for developing large apps

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Who is the winner?

Though all the aforementioned languages are suitable for different use cases, a developer should particularly know which language to choose when it comes to machine learning. According to a report published back in 2015, R programming was considered to be the most preferred programming language for analytics, data mining and data science purposes. However Python has made a strong impact on the data scientists over the past few years gaining the dominance of 75% adoptability in comparison to other languages.

R Versus Python

Moving ahead from being a simple data processing tool Python has now become a leading data analytics tools with 61% developers using Python as their primary language for coding, as per PyCharm.com.


Moreover a research conducted by Indeed.com shows the growth trends of 9 different languages, where Python has come out to be the most demanding programming language for machine learning following R on the second place and Java on the third. Though both R and Python are growing exponentially but with improved analytical tools and more activities Python is gradually displacing R.

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Reasons behind Python’s Success

Python being a general-purpose language supports diverse activities like web development, artificial intelligence and data analytics which in turn has made it gain momentum among the programmers.

As per TIOBE index, Python is the 4th most popular programming language out of 100.

However it is important to know the factors driving its success, which are:

  • User-friendly – Python is easy to understand and allows developing prototypes and tools easily and that’s why more and more programmers choose Python as their primary programming language.
  • Flexible – Python is quite flexible as there are no such rules on developing features.
  • Easily understandable – Being a high-level language the syntax of Python is simple which helps programmers to write programmes easily.
  • Great demand – Python is one of hottest technologies in the market offering high paying jobs to the professionals, i.e., around $94,093. (Source : Gooroo.io)
  • Extensive libraries – Python has huge machine learning libraries allowing it to be most suitable in this area.

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Which language do you want to choose?

The selection of programming language depends on the use-case and using a strong language is utmost important for developing a high-end software product.

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While a developer having a in-depth statistical knowledge may find R Programming Introduction to be the best fit, an individual having a good grasp of programming may find Python or Java suitable. Hence it is extremely important for you to first analyze the kind of use-case you are dealing in and then opt any programming language.

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About the Author

Senior Research Analyst

As a Senior Research Analyst, Arya Karn brings expertise in crafting compelling technical content in Data Science and Machine Learning. With extensive knowledge in AI/ML, NLP, DBMS, and Generative AI, his works get lakhs of views across social platforms that benefit both technical and business spheres.