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Machine Learning and Artificial Intelligence

by Eddie Rayner

Dr Omar El Dakkak, an Associate Professor of Mathematics at Sorbonne University Abu Dhabi (SUAD) discusses Machine Learning, Artificial Intelligence, and the high-level training, delivered by world-class experts, available in these disciplines at SUAD.

Why is Machine Learning and Artificial Intelligence important?

Dr El Dakkak: One can easily argue that the so-called fourth industrial revolution has Artificial Intelligence at its heart. In particular, the latest advances in Machine Learning, and especially Deep Learning, are dramatically transforming technology, since they enable much more accuracy in the devising of systems that are capable of accomplishing complex tasks. This is true if one thinks of all those systems devised for decision support, for complexity analysis tasks, for human-machine interactions, or to construct intelligent agents. All of this is happening, as particularly complex algorithms, based on recent discoveries in Mathematics, Computing and Robotics, are created/discovered. All of this poses our societies in front of opportunities and challenges of spectacular magnitude.

Who would benefit from the SUAD training programme?

Dr El Dakkak: The training programme targets professionals employed in highly technological fields, whose mission also involves processing high-dimensional data. Such professionals would greatly benefit from this programme as they would discover state-of-the-art models and tools in Machine Learning and Data Science that will not only help them in accomplishing their routine tasks, but will enable them to bring about sought-after innovation in today’s world.

What are the academic requirements to apply for this course?

Dr El Dakkak: Participants are expected to be familiar with basic to intermediate-level notions in Mathematics, Statistics and Computer Science.

What are the skill sets and knowledge acquired from attending this programme?

Dr El Dakkak: Participants will develop competencies in modern tools associated with Artificial Intelligence. They will also develop a mature understanding of the opportunities and challenges posed by large-scale-use of Artificial Intelligence devices. More specifically, the programme aims to provide participants with state-of-the-art competencies in:

  • Mathematical and computational tools of data processing and artificial intelligence
  • Computational tools associated with cloud computing and big data
  • Machine Learning models and, in particular, Deep Learning
  • Understanding the professional and regulatory opportunities and challenges linked to handling data, especially in the fields of insurance and risk management
  • Understanding the ethical issues associated with large-scale use of Artificial Intelligence.

Dr Omar El Dakkak is an Associate Professor of Mathematics at Sorbonne University Abu Dhabi and a Maître de Conférences at Paris Nanterre University. His main scientific contributions are in the fields of Discrete Probability and Empirical Processes, which are of fundamental relevance in the analysis of complex networks and in statistical learning.

Email: [email protected]
Web: www.sorbonne.ae
Tel: +971 2 656 9555

Al Reem Island,
Abu Dhabi

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