The 5 best programming languages for AI development

Today, Artificial Intelligence (AI) has become one of the hot topics, every tech giant and even startups are working on. It’s a very broad topic ranging from basic mathematics, self-steering technology to self-aware robots that can radically change the future.  To bring all these concepts on pratical aspect , need programming languages . We have to choose the right language among different programming languages for AI.

If you are an AI aspirant or wants to be, but confused on which coding language to select for your Artificial intelligence work. Below we’ve shown which programming language is best for Artificial intelligence.

Top 5 programming language for AI

(5)  JavaScript

A high-level, event-driven, interpreted programming language that is mostly used to make web pages interactive and creating online programs, including games.

Convent.JS: A library for implementing deep learning – train convolutional neural network in the browser. It supports fully connected layers as well as nonlinear neural network modules, classification and regression cost functions.

Tensorlfow.js: A JavaScript library for training and deploying ML models in the browser.Since after google launch tensorflow.js this language starts gaining rapid momentum in ai. But still, a long way to go.

Generally, preferred by the web developers.

(4) Java :

Java can also be considered as a good choice for AI development. Artificial intelligence has a lot to do with search algorithms, artificial neural networks, and genetic programming. Java provides many benefits: easy use, debugging ease, package services, simplified work with large-scale projects, the graphical representation of data and better user interaction.

The best thing about Java language is its Java Virtual Machine technology that enables you to create a single app version, which will run on all Java-supported platforms. Its strengths are transparency, maintainability, and portability.

Some of the well-known applications developed in Java are

  • WEKA machine learning suite, which is dedicated to machine learning and data mining.
  • JOONE neural engine for designing, training and testing neural networks.

Generally, Java is preferred by programmers who have Java experience. Surely not a good choice for beginners.

(3) Prolog and Lisp:

For the third position, we have 2 languages which are a bit similar to each other, are the oldest programming language used for Artificial intelligence. Lisp is developed by Dr. John MaCarthy in (1960) and Prolog is developed by Alain Colmerauer with Philippe Roussel.

Prolog is a  Language for Logic Programming and Symbolic Computation. This language stays alongside Lisp when we talk about development in the AI field.

It has a flexible and powerful framework that is widely used for theorem proving, non-numerical programming, natural language processing and AI in general. The features provided by it include efficient pattern matching, tree-based data structuring, and automatic backtracking.

Lisp uses a very simple notation in which operations and their operands are given in a parenthesized list. For example, (+ a (* bc)) stands for a + b*c. Although this appears awkward, the notation works well for computers.

LISP also uses the list structure to represent data, and, because programs and data use the same structure, it is easy for a LISP program to operate on other programs as data. It has the capability of processing the symbolic information effectively and was originally developed for Lambda Calculus computation, and since its inception, it has evolved a lot.

(2) R

R is one of the most effective language and environment for analyzing and manipulating the data for statistical purposes. Using R, we can easily produce a well-designed publication-quality plot, including mathematical symbols and formulae where needed. Apart from being a general purpose language, R has numerous packages like RODBC, Gmodels, Class, and Tm which are used in the field of machine learning. These packages make the implementation of machine learning algorithms easy, for cracking the business associated problems.

Generally, R is preferred by statisticians.

(1) Python:

And the last but the most important one among all is Python, is considered to be in the first place in the list of all AI development languages due to the simplicity. The syntaxes belonging to python are very simple and can be easily learned. Therefore, many AI algorithms can be easily implemented in it.

Python supports object-oriented, functional as well as procedure oriented styles of programming. There are plenty of libraries in python,

  • Numpy
  • Pandas
  • Scipy
  • Matplotlib
  • Pybrain
  • and many more

which make our tasks easier. If you are a beginner then my suggestion is to go with Python. And I assure you that will be your finest decision you ever.

Other AI programming options

Of course, Python, Java, JavaScript, and R, Lisp & Prolog aren’t the only languages available for AI programming. Let’s look at three programming languages that didn’t quite make it into our top five—

Lua:

A few years ago, Lua was riding high in the world of artificial intelligence. With the Torch framework, But with the arrival of frameworks like TensorFlow and PyTorch, the use of Lua has dropped off considerably.

Julia:

Julia is a high-performance programming language that is focused on numerical computing, which makes it a good fit in the math-heavy world of AI.

 

About the author

Vikram singh

Founder of Ai Venture,
An artificial intelligence specialist who teaches developers how to get results with modern AI methods via hands-on tutorials.
GANs are my favorite one.

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