Artificial intelligence (AI) makes the work fast, solve multiple problems and can take the decision fast. However, it’s elusive to learn, but one of the robust and pioneer technology that helps in reaching new levels of sophistication and efficiency. AI makes intelligent machines or software to “think” like a human would and mimic the way they would act.
Furthermore, it has brought many optimum benefits to organizations necessities and in the life of people. Artificial intelligence (AI) projects continue to thrive with increasing momentum.
Since the advent of AI, it is known as one of the most promising technology for driving new and innovative solutions to all industries.
Today, most of the machines are being fueled by AI technology and its scope continue to increase. So, if you or someone who wants to learn AI programming, here we have 5 best Programming Languages for Artificial intelligence (AI).
Best Programming Languages For AI
Python is a high-level programming language used to develop complex Artificial intelligence (AI) projects. It is quite simple and easy to learn.
However, it has simple syntax to learn and easy to command over the language but when it comes to complex development for AI-based algorithms it needs expert hands. Also, to do so, python helps the developer by its important library named “Numpy”. Python includes object-oriented, functional and procedural programming.
Additionally, it has lots of frameworks to support many big companies. eg. Google (Gmail) use the TensorFlow most popular Python framework for the prediction of spam mail.
TensorFlow covers processes like voice detection, image, video recognition etc. It also used in the development of Chatbots.
Among the Best Programming Languages For AI, Java is another language that is useful for AI projects. In general, it is one of the most common language and familiar among developers. But in AI, Java is used to create machine learning solutions, neural networks, search algorithms, genetic programming and multi-robot systems.
Another point to highlight is object-oriented and scalable language, which are must-have features for AI projects. Also, Java has the ability to code different types of algorithms.
Other benefits of Java in AI are: easy to learn, debugging ease, package services, simplified work, better user interaction and graphical representation of data.
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Lisp is the second-oldest high-level programming language used Today. It comes after Fortran and in just a few years it quickly became the favoured programming language for artificial intelligence (AI).
Moreover, it has many unique features, flexibility and enables fast prototyping at new levels. Lisp language includes tree data structures, automatic storage management, dynamic typing, conditionals, higher-order functions, recursion, the self-hosting compiler, and the read–eval–print loop.
This language offers the freedom to developers for creating prototyping and experimentation. Lisp considered as efficient for inductive logic projects.
R is one of the most efficient, versatile, interpreted and dynamically typed programming language. The R language is widely used among statisticians and data miners in order to analyze the data with more accuracy.
This language is free and open-source like Python. Considering the usage in AI, both languages considered a very useful programming language for AI. But, R is for statistical analysis and Python is for general-purpose programming language.
Moreover, R makes the implementation of machine learning algorithms easy by offering numerous packages like RODBC, Gmodels, Class and Tm. Additionally, the language helps in a distinct plan including mathematical symbols and formulae where required.
Prolog is another Best Programming Language For AI. It has a feature like efficient pattern matching, tree-based data structuring and automatic backtracking which makes Prolog powerful and flexible programming.
Like Lisp, Prolog is also one of the oldest programming languages for artificial intelligence. It is a declarative programming language and useful for database, symbolic reasoning, and language parsing applications. Prolog is broadly used in hypothesis demonstrating, master frameworks, term rewriting, type systems, automated planning and natural language processing.
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