Data Science and Machine Learning

Master's

The rapid development of computational systems (both desktop and mobile), in conjunction with the ever-increasing infiltration of the wireless and wired networks have as a result the creation of extraordinary volumes of data on a daily base. The effective analysis of this data can offer substantial solutions and help with decision-making on several levels. Data Science itself, is basically an inter-scientific field with the main objective of managing, analyzing, processing and extracting knowledge through data either in a structured or non-structured form. The rapid development of the last years in the field of data management has led to the creation of new algorithms and architectures that have immensely improved the speed of processing great, heterogenous and constantly variable volumes of data. The improvement of performance and speed of computational systems (processors, graphic cards) has had as a result the evolution of machine learning techniques towards the direction of fully interconnected networks and deep machine learning, supporting the discovery of more and more complex patterns and dependencies on data. As inter-scientific fields, Data Science and Machine Learning have immediate dependency, beyond mathematics and informatics, with their field of implementation, which can be related for example with image and video processing and analysis, analysis of social media, processing of the geospatial data, etc.