G2

Rounak J.

Ab Initio Developer

Higher Education

Small-Business (50 or fewer emp.)

2/2/2019

"Try Machine Learning in Julia and you will be amazed..."

4.5/5

What do you like best about MachineLearning.jl?

- 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.

What do you dislike about MachineLearning.jl?

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.

Recommendations to others considering MachineLearning.jl:

I will highly suggest trying MachineLearning.jl for K means clustering. I got better results for clustering the users from Facebook.

Apart from this, it is fast, efficient and easy to use. Review collected by and hosted on G2.com.

What problems is MachineLearning.jl solving and how is that benefiting you?

I mostly use mahinelearning.jl to expedite my model time. It also gives parallelization which helps in reducing the amount of time to perform training. Review collected by and hosted on G2.com.