How to make Data Science appealing with open source software

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How to make Data Science appealing with open source software

Speakers:
Matteo Sartori, Michele Gabusi (Engineering)

Abstract:
Data Science Lab (DSL) is a platform for Data Science appliances, created by Engineering Group’s Big Data & Analytics Competency Center, based on the corporate cloud infrastructure.
DSL’s goal is to provide customizable Data Science tools for algorithms development and visualization, to be tailored into different business scenarios.
Specifically, DSL provides a set of microservices for NLP and text classification, social analytics, recommendation systems, anomaly detection and much more.
APIs interfaces are exposed by the RESTful, Python-based Flask microframework.
Visualization demos are also provided, spanning through several open source solutions, like Engineering Group’s Knowage, Rstudio’s Shiny and JQuery.

 

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