AI and Machine learning programming are the most in-demand fields of development and engineering as we usher in the new decade. The biggest tech companies are vouching for the AI tools to enhance their offerings. The AI and ML developers use several computer programming languages that showcase features like high scalability, OOPs, search, and genetic programming.
So which are most preferred Languages for Machine Learning and Artificial Intelligence? We have compiled the top 6 which are the most preferred in the industry today.
Most Preferred AI and ML programming languages
Python
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Python language has become the most favorite choice of the Machine language and AI developers as it is a high level, general-purpose language, which is available open-source. The dynamic language has an exceptionally high level of scalability for machine learning programming as it supports procedural development and works perfectly on the OOPs concepts. TensorFlow, the most advanced machine learning libraries, is available for the Python programmers.
C#
This highly efficient and flexible object-oriented programming language has helped developers build various kinds of applications for two decades now, be it web-based apps, desktop apps, and backend processes. Now the language is popular for machine learning development using the core platform .NET Core, ML.NET, etc. The ML.NET is the machine learning framework that is available to developers.
R Language
R Language is a dynamic OOPs language which is array-based. It is a functional, procedural, and reflective programming language which has become very popular among the data scientist and the AI developers as it showcases some of the most efficient statistical algorithm and functional features.
It is an open-source language available on r-project.org and GitHub and has become the most popular Ai development language. Highly preferred by the statistical engineers and data scientists, this language supports multiple OS, including OS X, Linux, and Windows.
C++
The oldest programming language that created the base of many high-end platforms is often used for machine learning as the newest ML platforms support the language. The TensorFlow API for C++ also provides the various features to work on for the ML developers.
PROLOG
PROLOG language is being used widely by the AI developers as it has features like automatic backtracking, tree-based data structures, and highly prudent pattern matching capabilities. Machine learning engineers are now using the old language as it has a flexible framework. Medical projects and related AI systems are being created using this language.
JAVA
Java is also a great choice when it comes to ML and AI development as it supports search algorithms and genetic programming. The AI is based on these two aspects, and JAVA has a variety of features that ease the developers to create applications. The Swing and the SWT incorporation with Java help the developers to develop applications that offer high-end interfaces and graphics.