We have entered the Big Data Era. The explosion of available data in a wide range of application domains give rise to new challenges and opportunities in a plethora of disciplines – ranging from science and engineering to business and society in general. A major challenge arises in the question of how to take advantage of this unprecedented scale of data, in order to acquire further insights and knowledge for improving the quality of the offered services. This is where Machine and Deep Learning comes in capitalizing on techniques and methodologies from data exploration (statistical profiling, visualization), aiming to identify patterns, correlations, groupings, modeling and predicting. In this domain, Deep learning is becoming a very important element for solving large scale prediction problems in recent years.
- Profesor: Abbahaddou Yassine
- Profesor: Buscaldi Davide
- Profesor: Evdaimon Iakovos
- Profesor: Guo Yanzhu
- Profesor: Kosma Chrysoula
- Profesor: Lutzeyer Johannes
- Profesor: Molero Cristina
- Profesor: Nakis Nikolaos
- Profesor: Rennard Virgile
- Profesor: Vazirgiannis Michalis
- Profesor: Xypolopoulos Christos