Top Programming Languages to become an AI Developer

Are you working on any new artificial intelligence project and still not certain about the programming language to use, then this innovative article is for you.
AI which is the acronym for Artificial Intelligence is a branch of engineering who are aimed at creating machines which can think intelligently like humans.
Its main aim is to create machines that carry out human tasks faster and with reduced error rate. This aim can only be achieved with the right programming language.
Now the biggest question is; which programming language is best to execute your next project.

Factors to consider when choosing a programming language include;
1. The elasticity of the language should be considered.
2. The time taken for the language to be use.
3. The purpose of choosing the language should be considered.
4. Performance and Efficiency of the language.
5. Reviews from other programmers or past experiences.
6. Error checking and diagnosis.

With this few factors in mind, Here are my choice of the top ten programming languages for AI development.

1. Python

This still retains it number one spot as the best programming language for AI developers. Though it has its shortfalls but it still remains my best pick.
The pre-built libraries (NumPy, Pandas, Pybrain and SciPy) and its easily understood syntax gives it an edge over other programming languages in AI development.
Features of Python
1. It has all the libraries you'll ever want.
2. It is easy to use.
3. It supports GUI programming.
4. It has a free and open source.
Limitations of Python
1. As an interpreted language, it is slower than other popular programming languages.
2. It is a weak language for mobile computing.

2. Java

Second on my list is the object-oriented programming language, Java.
Java is supported by a vast number of libraries owing to it being highly portable and versatile.
Java runs through several platforms without engaging in additional recompilation and it is easy to debug.
The java-code runs on any java-supported platform with its virtual machine technology.
Java supports search algorithms, genetic programming and artificial neural networks, making it ideal for AI development.
Features of Java
1. It is simple and easy to use.
2. It is secured and has a simplified framework.
3. It is an interpreted language.
4. Independent on the platform used for.
Limitations of Java
1. Being an interpreted language, it is slow.
2. Java is operated on top of virtual machine, it requires a large memory capacity.
3. It does not support low level programming.

3. Julia

Julia programming language is best for high performance numerical computing and analysis, this suggest julia being efficient for AI technologies.
Julia can also be used for general purpose programming, machine learning and data science.
One of the advantage of using julia programming language is the ability to translate algorithms from papers into codes.
Features of Julia
1. It can't be reproduce.
2. It is composable.
3. Serves as a package manager.
Limitations of Julia
1. Has few debugging tools.
2. It lacks function composition.


4. LISP

Alot of programmers have considered it to be the best since it was designed by the father of AI John McCarthy in 1958.
A unique feature of it which makes it ideal for AI projects is the effective processing of symbolic information.
Other features include; outstanding prototype capabilities, an integrated development cycle for evaluating expressions and reconciling functions.
Features of LISP
1. Provides a complete I/O library.
2. It is an object-oriented language.
3. It is machine independent.
Limitations of LISP
1. Incomprehensible syntax.
2. Poor readability and learn ability.

Conclusion

If i were asked to choose any of the listed programming language for AI, I will choose python because of its tight cybersecurity and its data science.

Goodluck in your choice.