Lucrezia Noli speaker at Spark + AI Summit, 23-24-25 of April, San Francisco

On April 23rd to 25th, Lucrezia Noli, Big Data Scientist at Dataskills, will present at the SPARK + AI Summit a proprietary solution ideated by Dataskills to carry out semi-real time analysis of a huge amount of time series data, for which to give a precise price prediction by use of a single computational engine.   Spark + AI Summit

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72nd edition of Campus Party

Dataskills participates to the 72nd edition of Campus Party, a global event which connects thousands of young entrepreneurs, students, and investors in the field of technology.


Discovering Machine Learning: Predictive Analytics Tools in Action

On May 17th-18th 2018 we held at our HQs in Montebello della Battaglia a workshop on Machine Learning, with the aim of providing a comprehensive overview of the various Predictive Analytics techniques used to analyze Big Data. The classes spanned from more theoretical and formal explanations of the algorithms, to very hands-on, practical use cases.


WPC 2018

October 27-28-29 2018 NH Hotel Centro Congressi Assago Dataskills takes part to WPC 2018, the biggest conference on Microsoft Technologies on the national territory. Lucrezia Noli, Big Data Scientist at Dataskills, participated as a speaker with a section on Deep Learning techniques applied to Computer Vision.


SQL Saturday Parma 2016 – R & Azure ML

Azure ML, Microsoft’s machine learning service in the cloud, enables you to easily build, deploy and share advanced analytics solutions.


2016 Innovation Showcase

Con piacere abbiamo constatato che che Rulex Inc,  con cui abbiamo una partneship, è stata annoverata dal MIT di Boston tra le 10 aziende più innovative e disruptive del mondo nel 2016! Ecco il link: Congratulazioni!



Ieri si è concluso il WPC2015, a cui ho partecipato con la sessione Practical Data mining with Azure ML & R In essa ho parlato di Azure ML, il servizio di Machine Learning che Microsoft e della sua integrazione don R, il linguaggio che si sta imponendo come riferimento per la statistica, l’analisi dei dati ed il machine learning. RIngrazio

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