G2

UC

Verified User in Computer & Network Security

Mid-Market (51-1000 emp.)

9/19/2022

"JavaScript agility with modular Machine Learning implementation"

5/5

What do you like best about ml.js?

One of the best libraries I've ever experienced. The integration is easy, with examples of specific Machine Learning models. Bringing Machine Learning to Java Script is perfect so that those who don't work mainly with Python can try to create new projects using a library of pre-made Machine Learning algorithms. Review collected by and hosted on G2.com.

What do you dislike about ml.js?

I had difficulties manipulating some security protocols I wanted to execute. This was mainly because these same security layers were already built in the library, which makes it challenging to scope for customization. Review collected by and hosted on G2.com.

What problems is ml.js solving and how is that benefiting you?

The speed of code production. It makes it easy to develop Machine Learning models in Java Script, in a highly accessible NodeJS and with ReactJS integration. An ability to use hardware acceleration is a plus as JavaScript already builds into machine code and speeds up production as it facilitates the way math-heavy data analysis is handled, allowing for more comfortable and much faster learning and creation of Machine Learning models. Review collected by and hosted on G2.com.