Programming languages involved in AI are:
LISP is the second oldest programming language in the world (1958), only one ear younger than Fortran (1957).
The term Artificial Intelligence was made up by John McCarthy who invented LISP.
LISP was founded on the theory of Recursive Functions (a function appears in its own definition).
Recursive Functions can be written as self-modifying functions, and this is very suitable for AI programs where "self-learning" is an important part of the program.
R is a programming language for Graphics and Statistical computing.
R is supported by the R Foundation for Statistical Computing.
R comes with a wide set of statistical and graphical techniques for:
- Linear Modeling
- Nonlinear Modeling
- Statistical Tests
- Time-series Analysis
Python is a general-purpose coding language. It can be used for all types of programming and software development.
Python is typically used for server development, like building web apps for web servers.
Python is also typically used in Data Science.
An advantage for using Python is that it comes with some very suitable libraries:
- NumPy (Library for working with Arrays)
- SciPy (Library for Statistical Science)
- Matplotlib (Graph Plotting Library)
- NLTK (Natural Language Toolkit)
- TensorFlow (Machine Learning)
C++ holds the title: "The worlds fastest programming language".
Because of the speed, C++ is a preferred language when programming Compute Games.
It provides faster execution and has less response time which is applied in search engines and development of computer games.
Google uses C++ in AI programs for SEO (Search Engine Optimization).
SHARK is a super-fast library with support for supervised learning algorithms, linear regression, neural networks, and clustering.
MLPACK is a super-fast machine learning library written for C++
Java is another general-purpose coding language that can be used for all types of software development.
For AI, Java is mostly used to create machine learning solutions, search algorithms, and neural networks.
SQL (Structured Query Language) is the most popular language for managing data.
Knowledge of SQL databases, tables and queries helps data scientists when dealing with data.
SQL is very convenient for storing, manipulating, and retrieving data in databases.