There is a question I have been asking for quite some time. It is known that Python is the language of choice when practicing ML. But, can similar results be achieved using Powershell? What makes Python superior to Powershell when making models for ML?
Technically you can do it in any language, but in software engineering we tend to stand on the shoulders of giants in order to get the job done on time.
A lot of original excellent data processing, statistical analysis, and ML libraries were built into Python and R, so all the deep learning stuff was built on top of those. R is somewhat harder to integrate into a production pipeline due to its typical reliance on something like RStudio, so Python ended up being the de facto standard as it is also well supported in cloud computing environments.
With TensorFlow API's being written for Swift, we might start to see Swift competing with Python.
