Machine learning is an area at the crossroads of computer science, statistics and applied mathematics. Its purpose is to create models of automatic decisions from data.
In this era of "Big Data", information is omnipresent and is no longer on a human-friendly scale. This makes the use and development of machine learning methods necessary.
The Machine Learning project consists of the following lines of research:
Aggregate search for data and services for linked data
Semantic analysis and interpretation of massive data
Learning relevant representations of data
Predictive data analysis for recommendation and contextualization
Predictive analysis of big data via evolutionary algorithms.
The presentation of this project is available here.