This is one of the most widely used libraries in the machine learning community. There are certain factors that make it the go-to library for developers, such as cross-validation, feature extraction, supervised learning algorithm, etc. However, it runs on a single processor CPU. This library is built on SciPy, which includes Numpy, Matplotlib, Pandas, Sympy, IPython, and SciPy. It’s focused on modeling the data, rather than manipulating it.
With this, we have discussed some of the most used tools in Artificial Intelligence in recent years. There are other AI tools that are growing in popularity like Google ML kit, Theano, Swift AI, Deeplearning4j, etc. These Artificial Intelligence techniques can further the advancement in the field and have the potential to optimize human effort in every possible area of application of AI in real life