Machine Learning

Machine learning is a process of creating and running predictive models from existing learning data in order to predict values, behaviour, trends etc.

Belladati ML Studio

BellaDati ML Studio is an integrated platform/framework for developing and running sophisticated situational intelligence applications. These are applications that are used in IoT area, but also for extensive big data cleaning tasks and other machine learning and statistical situational applications.

BellaDati Advanced Analytics Tool and Framework

BellaDati ML Studio is the integral part of BellaDati Advanced Analytics Tool and Framework. BellaDati Advanced Analytics and Framework has following major features:

ML Studio
Rich and agile reporting and dashboarding layer
Rich SDK, REST API and Client API ready for embedding and customization
ETL
mobile
integrated datawarehouse
multitenant cloud.

BellaDati ML Studio

The ML Studio has following major features:

Runs applications and interfaces to data sources and analytics models
A visual framework for users to interact with data and analytical results
A development environment for assembling data, analytics into situational intelligence applications
Development environment offers for the mathematical modeling and predictions

The access to BellaDati preconfigured packages/BellaDati Domain Specific language
For users to create their own packages
Access to various Java libraries (eg Java ML, Appache Commons Math 3, Stat library, etc)
Usage of Python and its libraries (especially Anaconda libraries) from the environment of ML Studio is the option
To User to write her/his own scripts using preconfigured building blocks and pack them.
Usage of R and R-Cran libraries from the environment of ML Studio is the option.

Basic building unit of ML Studio is a Project.

ML Studio Welcome Screen

BellaDati ML Studio can be accessed from the top menu by clicking on the link ML studio (if available).

The Welcome screen is divided into several parts:

Active projects - projects currently loaded in memory (i. e. projects being worked on)
Saved projects - stored projects
Scheduled and running projects - projects which are currently being calculated.
Documentation - List of most important information about ML Studio.