Top 7 Best Programming Languages for Artificial Intelligence field.
Artificial Intelligence is a branch of computer science that develops systems to perform tasks usually requiring human intelligence (NI).
It is also known as AI or machine learning. There are vast numbers of programming languages available today, which have many different types and categories, but only a few are used to develop AI.
Let’s discuss some of the best programming languages for the Artificial Intelligence field.
Artificial Intelligence (AI) is the intelligence exhibited by machines or software and not possessed by humans.
AI is related to computer science, machine learning, neural networks, and computational intelligence. There are different types of Artificial Intelligence like- Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision, and so on. For example, in the image recognition task, Convolutional Neural Network (CNN) performs the classification of images into categories like- building, car and people.
If you are thinking to learn a programming language to learn Artificial Intelligence, then you are at the right place.
Here I will list some best Artificial Intelligence programming languages that will help you in your career.
Types of programming languages in AI:
Machine Learning: Python, R, C++, MATLAB, Java
Deep learning: Caffe/Caffe2, Torch, Theano, TensorFlow
Neural Networks: C++, Java, Python
Artificial Intelligence is a fascinating field. Based on the premise that machines can be programmed to simulate the cognitive skills of human beings, it has given birth to several technologies which have changed the world in their ways.
To date, many programming languages are used for Artificial Intelligence, but only a few have been dominating the entire field.
We have listed and compared those languages based on their popularity, usage, and applicability.
Python: Python is one of the most popular programming languages among AI developers due to its readability, easy-to-use syntax, and precise documentation. It supports various Data structures like lists, tuples, and dictionaries, making it perfect for data science projects.
And it is one of the easiest languages to learn, mainly due to its high readability with fewer codes, making it a favorite choice among beginners.
Java: Java is a general-purpose programming language and is one of the most popular choices for AI developers worldwide.
Java is famous for its flexibility and supports different high-end modes, making it a favorite choice among big enterprises.
The R language is another popular programming language in artificial intelligence. It is an ideal software environment for statistical computing and graphics.
The applications areas for R include machine learning, predictive analytics, statistical modeling, and data visualization. This versatile programming language also supports scripting with Rpy2, RxODE, and R Commander libraries.
The Julia language was designed for numerical computing and had a syntax similar to Python, R, and MATLAB. It was specifically developed to address limitations found in older systems like C++ and MATLAB, which were not designed with parallel processing in mind. Its applications include data science, machine learning, deep learning, computational finance, and quantitative analysis.
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