steccami

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Dr. Michele Stecca received his specialized degree in Software Engineering from the University of Padova and his Ph.D. from the University of Genova. He worked as a researcher at the ICSI in Berkeley, CA before joining doolytic as a Sr. Big Data Analyst. He has participated in important projects co-financed by the EU in these areas for Telefonica, Telecom Italia, FIAT, Atos and Siemens. Dr. Stecca has authored numerous articles for international industry publications, presented at many international events and has served as an Adjunct Professor at the Universities of Genova and Padova.

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steccami

Live Anomaly Detection

Data Science nel manufacturing: l'esperienza di Tenaris

Machine Learning for Developers - Danilo Poccia - Codemotion Rome 2017

Using Machine Learning For Solving Time Series Probelms

Deep Learning on Apache® Spark™: Workflows and Best Practices

Anomaly Detection using Deep Auto-Encoders | Gianmario Spacagna

Apache Arrow (Strata-Hadoop World San Jose 2016)

Docker introduction