#dsGhent: Expert talks in Antwerp!
Details
https://secure.meetupstatic.com/photos/event/3/7/3/a/600_464174138.jpeg
UPDATE: allowing 90 people because the waiting list is pretty big. Please make room for others if you already know you can't come!
UPDATE: Not doing lightning speakers anymore, so the schedule has slightly changed. Please check it out.
After a much-needed vacation, Data Science Ghent is hosting an expert talk meetup together with Data Science Antwerp! We've invited 3 experienced data scientists to come speak, focusing on deep learning. Join us!
Some time for lightning talks are included, so come practice speaking in front of a crowd for no more than 5 minutes if you built something fun or are doing research which you want to share! Fill out this form (https://docs.google.com/forms/d/e/1FAIpQLSfXvNGRA5ouCh5RoVNGyMmwb8P3_Sv2OL4sH1BqQsoECXKxqw/viewform) if you are interested.
Planning:
18:30 - Welcome drink: sandwiches & coffee
19:00 - Opening, Data Science community intro + agenda
19:15 - Speaker 1: Yves Peirsman (https://www.linkedin.com/in/yvespeirsman), consultant/expert at NLP Town and leader of the Belgian NLP meetup group, will discuss 'Deep Learning for NLP'. More details on this are coming!
19:45 - Speaker 2: Fréderic Godin (https://www.linkedin.com/in/fr%C3%A9deric-godin-a6b64742/), PhD researcher Deep Learning at Ghent University (IDLab), will discuss 'Skip, residual and densely connected RNN architectures'.
20:15 - Break
20:30 - Speaker 3: Bertrand Fontaine (https://www.linkedin.com/in/befontaine/), VP Data Science at Sentiance, will discuss 'Deep Learning for driver/passenger detection of car trips'.
21:15 to 23:00 - Networking Drinks provided by Sentiance
About Sentiance:
"Sentiance handles IOT sensor data and turns it into insights about people’s behavior and real-time context using various machine learning techniques, from logistic regression to CNNs and RNNs. Companies use this to adapt their engagement to real-world behavior and context. They have around 15 data scientists, 15 data engineers and 15 software developers, ranging from PhDs to new computer science graduates."