5 programming languages to learn for AI development
Programming languages are important because they are the tools that developers use to create software, applications, and websites. Different programming languages have their own syntax, structure, and functionality, making them suited for specific tasks and projects. Learning and understanding programming languages is essential for developers to write efficient and effective code, as well as to collaborate with other developers on projects.
Here are five programming languages to learn for AI development.
Python is a popular choice for artificial intelligence (AI) development due to its simplicity, readability and versatility. It has a vast collection of libraries and frameworks for machine learning, natural language processing and data analysis, including TensorFlow, Keras, PyTorch, Scikit-learn and NLTK.
With the help of these tools, one can create and train neural networks, work with massive data sets, interpret natural language and much more. Also, Python is a well-liked language for AI research and education, and there are numerous online tutorials and courses available for people who want to get started with AI development thanks to its user-friendliness and community support.
Related: Top 10 most famous computer programmers of all time
Lisp is a programming language that was created in the late 1950s, making it one of the oldest programming languages still in use today. Lisp is known for its unique syntax and its powerful support for functional programming.
Since it was used to create some of the earliest AI systems, Lisp has traditionally had a significant impact on the area of AI. Lisp is a good choice for AI research and development because it supports symbolic computation and can handle code as data.
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