5 Best Machine Learning (AI) Programming Languages

A high-performance, general-purpose dynamic programming language, Julia has risen to become a potential competitor for Python and R. It offers many great features exclusively for machine learning, and while it is a general-purpose language for the development of a wide-range of applications, it is best used for high-performance numerical analysis and computational science. Julia has support for all types of hardware, such as TPUs and GPUs, and it is used by big companies like Apple, Oracle, Disney, and NASA. The machine learning language was particularly designed for implementing basic mathematics and scientific queries that make up many machine learning algorithms. Its code is universally executable, and it is scalable, which is fundamental for machine learning engineers.