What programming languages are most commonly used in AI?
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.
- 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++ 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.
- 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
- Speed and simplicity
- 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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