Monday, June 19, 2017

Machine Learning, Big Data and Scientific Method in URJC Summer Courses

Machine learning is a subfield of computer science related to artificial intelligence. This area seeks the development of techniques that give machines the ability to learn thanks to the induction of knowledge. By creating "own" behaviors, it becomes very difficult to detect behavioral anomalies when cybercriminals try to steal business-sensitive data. 

Hence the importance of cybersecurity in machine learning. Therefore, in the 18th edition of the URJC Summer Courses we will have two papers dedicated exclusively to this subfield.

Marta Beltrán - Having as main target the detection of new fraud patterns and cybersecurity threats

On Monday June 26th, the teacher of the URJC Marta Beltrán Pardo will analyze how different techniques of machine learning can be used in the detection of anomalies. Thanks to this ability, she will explain how to generate a "security intelligence" capable of being applied to network intrusion detection and prevention, fraud prevention or identity management. And these are just some of the possible examples.

Professor Marta Beltrán is an Electronic Engineer (UCM 2001), graduated in Physical Sciences, branch of Industrial and Automatic Physics (UNED 2003), a PhD in Computer Science (URJC 2005) and she also has a Master's Degree in Performing Arts (URJC 2007), in which she is currently studying her second doctorate.

In addition, she is the director of the GAAP Research Group, and of the Master in Research in Advanced Hardware and Software Systems, she is a faculty member of the Master in Data Science of Rey Juan Carlos University, co-founder of the Cybersecurity Cluster and member of the academic board of the Chair of Applied Data Science to 5G of Ericsson; her latest works are related to distributed systems projects, high performance computing, cyber intelligence or research related to machine learning techniques.

Jesus Cerquiades - Data science or augury: The scientific method in the Big Data era

On Tuesday 27th, the IIIA researcher will expose the risks involved in developing predictions from data without the control given by the scientific method. The lecture will introduce attendees to machine learning and it will be discussed the extent to which the predictive capabilities offered by Big Data are a complement to the scientific method or may even make it obsolete.

The researcher Jesús Cerquiades belongs to the Institute of Research in Artificial Intelligence (IIIA) that is part of the Spanish National Research Council (CSIC). In Jesus' own words, his career is driven by two forces: research into Artificial Intelligence (machine learning and multi-agent systems) and attractive software development projects.

These are only two of the papers that will take place in the Teatro Real Carlos III of Aranjuez on the occasion of the Summer Courses of the URJC. If you want more information on the topics to be discussed from June 26 to 28, keep an eye on our social networks and on our blog, since we will continue to inform you day by day of everything that these courses can offer you.


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