Introduction
Artificial intelligence or Machine learning is a rapidly growing area that has the potential to revolutionize our life. It is used for a variety of purposes, but machine learning or deep learning is the most widely known application of AI today. Machine learning is a method of computer science in which computer systems are practiced on massive data and then learn on their own.
If you want to become a powerful and skillful programmer in the field of artificial intelligence or machine learning then you will need to learn the specific languages that are very famous and well-known for their popularity and work in 2023. Here are some best programming languages for Artificial Intelligence in 2023 that might help you to learn AI programming aspects.
Programming Languages Shouldn’t be Use for AI Development
Here are some languages that are not well-suited or well-designed for AI development. These are generally low-level programming languages that are not enough to perform AI operations. These languages are –
- PHP- PHP is a scripting or server-side programming language for the server that is immersed in HTML. It is not robust and well-suited for AI development in the field of deep learning.
- Ruby- his programming language enables programmers to create configurable, secure, and user-friendly web applications with a focus on back-end inference. This programming language is not fast enough to do Ai or machine learning code and also not compatible with these codes.
- C- C is a widely used low-level programming language between many programmers and programmable logic designers. However, as it lacks many high-level features, it is not suitable for AI development and deep learning aspects.
- Fortran- Fortran is mainly used by engineers and scientists. However, it is difficult to understand and lacks many standard library features, making development complicated. Hence, because of this, it is also not suitable for AI development.
Python
Python is a high-level open-source programming language developed by Guido van Rossum in 1991 at NRIM, Netherlands. It is widely utilized in data analysis, web design, and project management as well as in the field of deep learning in Artificial Intelligence. Python has many libraries that make it simple to perform processes like networking or visual effects handling although you do not even know these features right now.
Python is based on ABC language that is designed to replace the programming language BASIC, which was developed earlier. It can be effectively used to build any kind of program that does not require direct access to the computer’s hardware. Python is platform independent, object-oriented language that supports GUI programming and syntax highlighting features. As it is a high-level language, so it is the first choice of programmers to use for AI development.
JavaScript
JavaScript or Jsp is an interpreted high-level open-source programming language. It was originally developed to help web applications in operating C and C++ code, but nowadays it is also used to run desktop applications such as Adobe Photoshop or Photoshop Aspects. JavaScript programs are executed within the browser, allowing them to access all of the desktop including storage and processing ability.
JavaScript operates by performing an operation known as “statements” in the order specified by the developer. Each code line is encoded at a distinct rate, which means that if you want something completed twice as fast as usual, the software operating your code will not be aware of it unless human involvement. If you trying to learn how things work under the execution process, it can lead to some serious troubles. There are many tools available to help us to know how exactly what each part does but mainly two tools are popular- profiling tools like Chrome toolkit or Firebug Lite’s debugging tool.
R
R is a numerical coding and graphical programming language and software environment. Since 1997, it is being used for academic, research-based, and industrial uses. R is a robust machine learning terminology, due to its library and packages such as CARAT, random Forest for creating decision trees, and many others. R’s interactive environment is also suitable for fast prototyping and troubleshooting aspects.
R has been used since late 2014 when it was introduced to the basic set of language groups by CRAN (the Comprehensive R Archive Network). Since that day, it will have gained popularity between many data science and machine learning experts as well as scholars who teach lessons on data processing using programming languages.
Haskell
Haskell is a type of programming language focused on the Miranda programming language’s syntax. Haskell provides safety and response time in machine-learning aspects as it supports embedded module features.
Haskell’s HLearn library provides computational machine learning design and implementation, but its TensorFlow binding facilitates deep learning and machine learning. Haskell allows users to create highly expressive algorithms while maintaining effectiveness, which makes it perfect for projects involving abstract arithmetic math as well as variational programming.
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Java
Java is a middle-level programming language that is used to create web applications, website modeling, desktop modules, and many other features. It is also an object-oriented programming language with imperative and GUI-supportive features.
Java has developed in 1995 and released by Sun microsystems company. From that onwards, it is widely used and became one of the most popular languages for programming aspects. The main reason behind its popularity is that it allows developers to create high-quality software and have robust library functions of Application programming interfaces(APIs).
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Prolog
Prolog is a logical and descriptive programming language that is ideal for artificial intelligence and machine learning development. It is mainly used for logic-based programming, which is the base of Machine learning and artificial intelligence. Prolog is difficult to understand and has a small development community.
Prolog is a superior AI programming language due because of its effective pattern configuration and metalevel logic capabilities. Natural language generation, intellectual DBMS search, and machine learning all benefit from Prolog’s pattern-matching function. These features, when integrated with its tree-based data structuring and auto-recursive processes, create Prolog a strongly versatile and adaptable AI programming structure.
Julia
Julia is a dynamic high-level and high-performance language for programming for scientific computing. It is an open-source language and free to use, allowing you to implement it into the AI project development without spending anything.
Julia is an ideal choice for developers and programmers who need to work quickly but do not want to compromise their creative thinking by using too many medium languages, such as Python or R.
Scala
Scala is a high-level programming language that can be used for both object-oriented and practical programming aspects. Scala was first founded in 2004 as a more brief option created to address character flaws in Java’s configuration. Scala’s source code has been created to be run on the Java Virtual Machine (JVM), which means that Java, as well as Scala stacks, can relate to each other. Scala Programming language supports a large number of JVM libraries and holds readable syntax with some other widely used programming languages.
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Conclusion
Python is the most used and well-known programming language for AI development. It has a strong record as a programming language, and its high-level features and easy-to-use feature make it an excellent choice for developing complex algorithms in the field of Artificial development. But, if you don’t want to use python or need something more powerful or faster than Python, so, you may prefer or shift to JavaScript programming language.
