AI is all about optimized learning. It’s basically a set of algorithms that helps computational systems learn from their surroundings. So, you can implement these algorithms in whatever programming language you prefer. Being said people predominantly use python and R for machine learning purposes because of the highly optimized implementation of the required algorithms.
There are tons of frameworks and libraries which are built based on these languages.
For python
Numpy
Pandas
Scikit-learn
Are some famous libraries.
TensorFlow is an awesome open-source framework developed by Google, and wrappers are available for many languages.
Keras is another one on top of TensorFlow.
Octave is a simple language and this is what is recommended by Andrew NG for his Machine learning course.
So, the idea is that it is all about implementing optimized learning algorithms. So it is the languages that matter, more than software tools.
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