
- 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 Review collected by and hosted on G2.com.
I have gone through the Github repo of machinelearning.jl and it contains a few numbers of algorithms implemented. Review collected by and hosted on G2.com.