MachineLearning is a package that represents the very beginnings of an attempt to consolidate common machine learning algorithms written in pure Julia and presenting a consistent API, it will be targeted towards the machine learning practitioner, working with a dataset that fits in memory on a single machine
Customer Reviews
Rounak J.
Advanced user of 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
I have gone through the Github repo of machinelearning.jl and it contains a few numbers of algorithms implemented.
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.
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.
