Who are the people working behind the scenes at scientific exhibitions? The tasks at hand range from approving content and proposing themes to identifying scientific and societal issues, and much more. To find out more, we interviewed Stephan Clémençon, a researcher specializing in machine learning at Télécom ParisTech and a scientific advisor for the Terra Data exhibition led by Cité …

Télécom Paris | #bigdata #machinelearning

From music suggestions to help with medical diagnoses, population surveillance, university selection and professional recruitment, algorithms are everywhere, and transform our everyday lives. Sometimes, they lead us astray. At fault are the statistical, economic and cognitive biases inherent to the very nature of the current algorithms, which are supplied with massive data that may be incomplete or incorrect. However, there …

Until 7th January 2018, la Cité des Sciences et de l’Industrie is hosting the Terra Data exhibition. It offers the opportunity to demystify all things ‘data’, from generation to use. The exhibition is divided into four parts, and progressively develops what data is and where it is leading us. Stephan Clémençon, a researcher at Télécom ParisTech, participated in putting the …

Machine learning is an area of artificial intelligence, at the interface between mathematics and computer science. It is aimed at teaching machines to complete certain tasks, often predictive, based on large amounts of data. Text, image and voice recognition technologies are also used to develop search engines and recommender systems for online retail sites. More broadly speaking, machine learning refers …

Big Data is an issue not only of technology, but also for society. Aware of the value of data, Institut Mines-Télécom has made it a major field of research, because a new approach is needed in order to store, share and use data to achieve optimal use. Machine Learning is one such approach. It is being researched by Stéphan Clémençon, Professor …