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The mission of Data Science Liège is to offer a forum, upon which participants can leverage to federate data science initiatives, showcase projects and ideas, call for support and partnerships, disseminate knowledge and stimulate public awareness.

Participation is free but registration is required.

Follow us on Twitter : @DSLiege for updates and latest news!


Start: December 4, 2019
6:30 PM
End: December 4, 2019
9:30 PM
HEC Liège

HEC Liège - Ecole de Gestion de l'Université de Liège, Rue Louvrex, Liège, Belgique

Rue Louvrex 14
4000 Liège Wallonie



Machine Learning Engineer
    Prior to Radix, Clement worked on Machine Learning projects at Google and YouTube. You might have seen more interesting ads thanks to him. He loves learning from the smart creatives at Radix and delivering great AI solutions to clients.

    TalkHow we built a Job Recommender SaaS for VDAB with Deep Learning 

    In this talk, we’ll tell you about our experience building a job recommender software as a service for VDAB. Our deep neural net, called JobNet, “reads” job seeker résumés and job descriptions in multiple languages and learns to embed them in a common space. The resulting embeddings allow us to match job seekers and jobs in both directions. To deliver the best recommendations at the scale of VDAB, we built JobNet using a modern ML stack based on Dask, Sklearn, and TensorFlow. We’ll also talk about how we deployed the solution in the cloud using a modern Continuous Integration pipeline based on CircleCI, Terraform, Docker, and AWS ECS.
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Chief Data Scientist
  • Bertrand FONTAINE
    Bertrand serves as Chief Data Scientist at Sentiance, a Antwerp-based scale-up that uses AI to model, predict and coach human behaviour using smartphone sensor data.
    He is leading a team of data scientist and machine learning engineers responsible for building out the AI technology at Sentiance, applying state-of-the-art academic research to real-life problems.
    Bertrand holds a PhD in machine Learning. Before joining Sentiance, Bertrand was an independent researcher in machine learning and computational neuroscience in different universities in Antwerp, Paris, New York, and Leuven.

    Talk: Driving behavior modeling using smart phone sensor data

    Sentiance converts smartphone sensor data into driving and behavior intelligence for driver centric assistance, serves and usage-based insurance. I’ll start by introducing the use case of driving behaviour profiling for coaching and insurance. I’ll then present how we apply machine learning to implement that use case, i.e. to extract useful insights from low-level GPS, accelerometer, and gyroscope data streams. We’ll look into detecting transport mode, map-matching GPS-fixes to a plausible traveling route, and fusing that data to arrive at the driver/passenger classifier, openly discussing all ML architectures used, from random forests to CNN.
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Managing Director
Micropole Consulting Belgium
  • Yves COLINET
    Yves Colinet est actif dans le monde de la Business Intelligence depuis plus de 20 ans. Son implication dans le marketing, la vente et le management ainsi que son approche innovante le positionnent en tant que leader de ce marché. Il est passionné par son métier et s’implique dans les projets où il aide les entreprises à définir les meilleures solutions en termes d’analyses de données et d’intelligence artificielle.

    Talk: Comment un business peut-il surperformer grâce à l’intelligence artificielle ?  

    Les nombreuses communications au sujet de l’intelligence artificielle rendent le sujet à la fois abstrait et confus. Il s’agit pourtant d’un levier pour les entreprises si elles s’appuient sur une combinaison des trois piliers qui sont l’organisation des données, la plateforme et les compétences. Au travers de deux cas, Yves Colinet (Micropole) expliquera comment un business peut surperformer grâce à l’intelligence artificielle.
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