Working with artificial intelligence (AI) raises questions about the knowledge and skills required. This article explores whether a person familiar with JavaScript or primarily Python can work with AI, whether a background is required, or whether coding skills alone are sufficient. It also examines the most popular programming languages used in AI and discusses the evolving technologies that support AI.

What programming languages are most commonly used in AI?

Programming languages have large communities that support and create additional components. Different programming languages offer a myriad of possibilities, from designing and coding websites or web applications, to advanced medical and manufacturing devices, to artificial intelligence. Is Python the only language that matters in AI, while JavaScript is becoming obsolete? Nothing could be further from the truth; many programming languages find application in this industry, but which are the most popular?

According to the GitHub ranking for machine learning, the most popular programming languages are: Python, C++, JavaScript, Java, C#, Julia, Shell, R, TypeScript, Scala.

Source: https://github.blog/2019-01-24-the-state-of-the-octoverse-machine-learning/

Python

This programming language is currently the fastest growing programming language in the world according to popularity. Its capabilities are very wide, and its specific application depends mainly on the libraries used. Python is a high-level, dynamic general-purpose language.

Advantages:

• easy to understand,
• easy to read,
• plenty of libraries and useful tools,
• high popularity,
• huge community,
• easy to integrate with other programming languages,
• for use in many fields.

C++

C++ is an extension of the C language designed for general-purpose use. It allows data abstraction and supports several programming paradigms: object-oriented, generic procedural, and functional and modular. Its main areas of application are operating systems and applications.

Advantages:

• Very popular
• High performance of the compiled code
• Easy to create and use libraries (written in C, C++ and other languages)
• Platform independence
• Extensive support and community
• Applicable in various fields
• Compiled to machine code

JavaScript

JavaScript is a high-level scripting language that is built into all web browsers, requires no additional software, and is relatively easy to learn. As a front-end language, JavaScript is primarily used to create dynamic websites and standard or progressive web applications.

Why is JavaScript good for AI solutions?

JavaScript is also a good choice for programming AI solutions because it has several high-quality machine learning tools and libraries.

Advantages:

• Speed and simplicity
• Popularity
• Community support
• Many useful and evolving machine learning libraries
• Ability to run scripts on any web page, regardless of extensions
• Operating system independence

What skills and knowledge are required to work in artificial intelligence?

AI programmers need to be familiar with AI solutions and technologies such as Theano, Keras, TensorFlow, NumPy, and SciPy. An understanding of evolutionary computation, fuzzy logic, differential calculus, neural networks, machine learning, and the ability to apply this knowledge in practice is critical.

Embarking on a career in AI is highly competitive and demanding. Programmers must stand out from other candidates to secure their ideal positions. Extensive knowledge, experience, relevant keywords in resumes, and the ability to showcase one’s skills are key factors.

AI programmer job postings typically require Python skills, and there are also opportunities for those familiar with AWS, Azure, C/C++, or MATLAB. In addition, industry experts emphasize a number of soft skills:

• Problem-solving skills
• Analytical skills
• Communication skills
• Teamwork skills
• Leadership skills

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