- I do my R and D in Machinelearning.jl. It is very fast and mathematical.
- It allows for easy prototyping and deployment of machine learning models.
- Parallelization is also quite straightforward to perform.
- Built-in parallelism gives the programmer a diversity of choices to expedite up their code.
- use of the same code to run on GPUs via the ArrayFire package
It is uncomplicated and so easy to use. It automates much of our work.
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