start machine learning with

a few lines of code 

 
 

next generation of machine intelligence

 
 

what is slicematrix-io(beta)?

How does it work?

SliceMatrix-IO(beta) is a machine learning platform. What makes SliceMatrix-IO(beta) extremely powerful is that there is LITTLE CODING experience required to get STARTED! With a FEW LINES OF CODE, users can build machine intelligent models and systems.

Users access SliceMatrix-IO(beta) via Python SDK which is designed to get users up and running fast with a few lines of code.

There are 2 core innovative concepts that allows users to build powerful machine learning with minimal code:

1. The Analytical Pipeline(AP) can be thought of as assembly lines of code which can train machine learning models. AP’s are reusable, meaning you can use the same AP to train multiple machine learning models using different input data.

2. The Model
The model are where the real magic happens. After the Pipeline trains a Model, the Model live’s on SliceMatrix-IO(beta)’s machine learning infrastructure in the cloud. That means you can access your model after you create it in a distributed fashion. You can also train models in parallel subject to your usage plan’s request / throttling limits.

Analytical_Pipe_Multi.png

manifold learning | unsupervised | real-time persistence | Supervised | Semi-supervised  

 
GET UP AND RUNNING WITH MINIMAL CODING

GET UP AND RUNNING WITH MINIMAL CODING

Through SliceMatrix-IO(beta) users have access to cutting-edge machine intelligence algorithms WITHOUT the PAIN and EXPENSE of setting up their own machine learning infrastructure.

 
MANIFOLD LEARNING   

MANIFOLD LEARNING 

 

With just a FEW LINES of CODE a user can build powerful machine intelligence applications. For examples traders can develop predictive trading strategies, similar to top quant hedge fund managers.

Or an entrepreneur can build a music recommendation engine for that new music streaming service app.

 
MULTI-OUTPUT REGESSION  

MULTI-OUTPUT REGESSION  

SliceMatrix-IO(beta) Multi-Output Regression algorithm learns the mapping from an input feature space to a multivariate output space.

 
REAL-TIME PREDICTIONS 24/7

REAL-TIME PREDICTIONS 24/7

Access your SliceMatrix-IO(beta) models from different regions around the world in real-time 24/7.