Top 7 Programming Languages For Machine Learning And AI

 These days, AI and machine learning are advancing rapidly, and many companies are working with it. Developers with knowledge of AI and machine learning have bright futures.

Most of the world's reports say the world's future is based on AI and machine learning.

In this article, we will see a couple of programming languages that will help us in AI and machine learning.

First, let's understand what machine learning is.

What is Machine Learning?

Machine learning is the fastest-growing technology that gives abilities to computers to learn or forecast data automatically from past data. In other words, Machine learning is a subset of AI that provides computers with the ability to automatically learn and make predictions based on data.

Machine learning uses many algorithms to predict data without human intervention.

Currently, machine learning is used in many scenarios like face recognition, voice recognition, filtering data, self-driving cars, cyber fraud detection, and many more.

7 Best Languages for Machine Learning

1. Python programming language

Python is the best programming language and it is a very well-known programming language for machine learning and AI. It is an Oops-based programming language. It is the first language that supports machine learning with different libraries & tools.

Python Features and Advantages

  • Easy to Code
  • Easy to Read
  • Robust Standard Library
  • Interpreted
  • Portable
  • Object-Oriented and Procedure-Oriented
  • Support for GUI
  • Dynamically Typed
  • High-level Language
  • Free and Open-Source

2. C# programming language

C# is a general-purpose programming language, C# can be used to create a number of different programs and applications like mobile applications, desktop applications, cloud-based services, websites, enterprise software, and games, Even if it helps us in machine learning and AI.

C# can be used for machine learning applications via a .NET Core machine learning platform, ML.NET. ML.NET is a cross-platform open-source machine learning framework that makes machine learning accessible to .NET developers.

 important features of C#

  • Simple & Modern, Flexible
  • Easy to code
  • Automatic Garbage Collection by CLR
  • Standard Library
  • Assembly Versioning
  • Based on Object-oriented programming
  • Open-source programming

3. R Programming Language

R was created by Ross Ihaka and Robert Gentleman in 1993 and is currently developed by the R Development Core Team.

R is a programming language mainly used for statistical analysis, Data Scientists, graphics representation, and reporting.

R is an array-based Language. 

R supports Linux, OSX & Windows OS systems.

Features of the R Language

  • Object-Oriented Language
  • Easy program code
  • R provides a large, coherent, and integrated collection of tools for data analysis
  • R has an effective data handling and storage facility,
  • Support ML development libraries & tools.
  • Support functional & procedural language.

4. Julia

Julia is a high-level, high-performance, dynamic programming language. It is used to write all kinds of applications. It works best for high-performance numerical analysis and computational science.

It is mainly created for statistical analytics which is necessary for machine learning.

Julia, the best choice for numerical computing and it takes less time for big and complex codes.

Features of Julia

  • Easy to use
  • It is very fast to execute large and complex codes
  • Julia provides an extensive library of mathematical functions with great numerical accuracy.
  • It has efficient support for Unicode
  • Free and open source (MIT licensed).
  • It has a built-in package manager (Pkg).

5. C++ programming language

 C++ is a very old programming language, whereas C++ is an oops programming language.

C++ is very fast to calculate complex logic and it is used in machine learning.

Many machine learning platforms support c++ including TensorFlow. TensorFlow’s C++ API provides for constructing & executing a data flow language.

C++ Features

  • Fast Speed.
  • Pointers.
  • Machine Independent or Portable.
  • Structured programming language.
  • Rich Library.
  • Mid-level programming language.
  • Memory Management.

6. Java Programming language

Java is the best programming language. Java is created by James Gosling at Sun microsystem. It is obtained by Oracle. It is a multipurpose programming language that is used in machine learning applications.

It is an oops-based programming language that supports executing complex code in very less time.

Java has strong frameworks like Weka, Rapid Miner, etc. that support machine learning algorithms, decision trees, regression techniques, etc.

7. Lisp

 Lisp is an old programming language that is popular now for AI and machine learning. Founded in 1958 by John McCarthy, LISP (List Processing) is the second oldest programming language.

LISP is a dynamically typed programming language that has influenced the creation of many machine learning programmings languages like Python, Julia, and Java.

LISP works on Read-Eval-Print-Loop (REPL) and has the capability to code, compile, and run code in 30+ programming languages.

Features of Lisp

  • Flexibility
  • Dynamic object creation
  • Automatic garbage collection
  • Rapid prototyping capabilities
  • Support for symbolic expressions


Machine learning and AI is very popular now, and is used in many companies. Many programming languages support machine learning frameworks & libraries.

In modern times Python is mostly used for machine learning and AI development, so knowledge of AI and machine learning has a bright future and many career opportunities for developers. 



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