Top 5 Programming Languages for Artificial Intelligence Development

The world of artificial intelligence is increasing its importance not only for software but also for the entire technology sector. Choosing the right programming language is very important for software developers who turn to artificial intelligence.

Artificial intelligence can be defined as the branch of engineering that gives computers the ability to imitate human intelligence . The following 5 programming languages are currently the most suitable for developers who want to work on artificial intelligence.

Python

Because of its simplicity, Python is considered the most ideal programming language for artificial intelligence. Python, whose syntax is simple and easy to learn , is also very suitable for the implementation of artificial intelligence algorithms. It supports object-oriented, functional and procedure-oriented programming.

Numerous libraries make Python an even more ideal language by making it easier for programmers. For example, NumPy helps with scientific calculations, while PyBrain is used for machine learning.

R

One of the most effective languages and environments for data analysis and manipulation with statistical objectives, with R. R, you can easily write well-designed quality programs and benefit from mathematical symbols and formulas.

Beyond being a general purpose language, RODBC also offers a number of packages used in the field of machine learning such as Gmodels, Class and Tm. These packages make algorithms easier.

Java

Java can be a pretty good choice for developing artificial intelligence. Because you will need to use search algorithms, artificial neural networks and genetic programming in this area. For all this work, Java is the perfect fit.

Java offers advantages such as ease of use, ease of debugging, simplification in package services and large-scale projects, graphical presentation of data and successful user interaction .

Lisp

Lisp, as one of the oldest and most suitable languages used in artificial intelligence development; It was invented by the father of artificial intelligence, John McCarthy, in 1958. It is known for being effective in the capacity to process symbolic information.

In addition, prototyping capabilities and the easy and dynamic creation of new objects are among the features that make Lisp stand out. Thanks to the development cycle, interactive evaluation and recompilation can be done while the program is still running. Over the years, it has been continuously developed and managed to maintain its place among the ideal languages for artificial intelligence.

Haskell

Haskell, a much younger programming language, was initially preferred in academic environments. Later, it increased awareness with the attention of companies such as Facebook and Google. It is often used for research projects. The reason for this is seen as supporting embedded domain-oriented languages, which are also of great importance for artificial intelligence.

Unlike Java, Haskell excels at abstract math. Because it has descriptive and effective libraries for creating artificial intelligence algorithms.