Giorgio Pedrazzi is currently working as Data Scientist at Cineca in the HPC High Performance Computing department. At BBS he coordinates the Big Data Laboratory module in the Master in Data Science and Business Analytics. His main areas of interest are data analysis, machine learning and deep learning. Within the HPC department he collaborates in several European projects such as AIDA (Artificial Intelligence Data Analysis) for the analysis of helium physical data and EUHUBS4DATA for the creation of a federation of Data Innovation HUBs in order to provide services to small and medium enterprises, start-ups and web entrepeneurs. In 1995 he obtained his PhD in Statistical Methodology for Scientific Research at the Faculty of Statistical Sciences of the University of Bologna.
The laboratory work plan addresses the complete process of data analysis, starting with loading data using different approaches and developing models for analyzing and visualizing the results. It will study some programming languages (as R, Python and TensorFlow) with reference to their specific use in High Performance Computing (HPC). In this context it will use libraries for parallel computing (H2O) and libraries for Deep Learning (Keras).
It will cover also software for the creation of graphic Workflow for Data Analytics, as Knime and Orange. The work plan provides for the developing of a project during a Kaggle competition at the end of the course.
The course is coordinated by Giorgio Pedrazzi and will be hold by CINECA staff, the largest Italian computing centre (Dipartimento Super Calcolo, Applicazioni e Innovazione and Laboratorio Big Data e Analytics).Data Science and Business Analytics