Astronomy is at the forefront of Big Data science, with exponentially growing data volumes and rates, and an ever-increasing complexity, now entering the Peta scale regime. This workshop has two main goals: to provide a theoretical and pragmatic view of the state-of-the-art and, second, to focus on the analysis and discussions about the problems of balancing the incoming data deluge with well-proportioned data mining and machine (deep) learning solutions.
You will also get:
General overview of the meeting during its days:
Monday will be basically devoted as a buffer in order to allow people to travel on that day and then start early on Tuesday at 9 am sharp. There will an be open discussions about data science and machine learning problems that INAF researchers are facing. Networking between partecipants is encouraged.