Overview
Let’s look at some popular AI programming platforms for developing AI applications. AI applications are software applications that use Artificial Intelligence techniques to perform specific tasks or solve particular problems.
The AI market has indeed been experiencing rapid growth in recent years. Several factors drive this growth:
- AI technology advancements
- Increase in AI adoption
- Growth in AI investments
- Demand
AI Programming Platforms
Programming platforms(a.k.a. development platforms) are environments that provide the tools, libraries, and resources needed to create software applications. These platforms include integrated development environments (IDEs), software development kits (SDKs), compilers, debuggers, etc., that streamline the process of writing, testing, and deploying software code. Some of the programming platforms are as follows:
- Mojo
- Python
- Java
- R
Mojo
Mojo is a simple yet high-performance language for developing AI applications. It combines the power and features of Python with low-level efficiency and performance, like C language. Mojo is multi-threaded and faster than Python.
Website:
https://www.modular.com/max/mojo
Python
Python is a popular programming language for AI development. It has a rich ecosystem of libraries that can be used for AI development. Some popular Python libraries are as follows:
- NumPy
- Pandas
- PyTorch
- TensorFlow
- SciPy
- scikit-learn
Python tutorials on this website:
Java
Java is an object-oriented platform-independent programming language. Some of the Java libraries are as follows:
- Weka
- Apache OpenNLP
- Deeplearning4j
Java tutorials on this website:
R
R is a statistical programming language with extensive data analysis capabilities. It is a preferred language for Machine learning engineers and data scientists.
Website: https://www.r-project.org/