# Computation and Statistics in Data science

### September 30 - October 4, 2019

University Residential Center

Bertinoro (Forlì-Cesena), Italy

Current approaches to learning from data often focus on one of two
different point of views: the computational point of view, typical of data
mining, which assumes that the data is the complete representation of a
process/system; and the inferential point of view, typical of statistics,
which considers the data as a partial and noisy collection of measurements
of the underlying process/system. While these two points of view are deeply
related, their integration is still not fully realized in current methods
for learning from data.

This workshop brings together researchers from the areas of data mining,
statistical learning, statistics, and theoretical computer science to
share recent advances and work in progress on the computational and statistical
aspects of learning from data.