Time series in financial domain: A deep learning approach


Details
Time series, RNN - More info soon
Agenda:
3:45pm - 4:00pm: Arrival & Networking
4:00pm - 4:15pm: News & Intro
4:15pm - 5:15pm: Time series in financial domain:
A deep learning approach
5:15pm - 5:30pm: Virtual Snack & Networking
About the main speaker:
Christophe Pere, Chief Data Scientist (La Capitale Insurance)
"I have a Ph.D. in Astrophysics specializing in atmospheric characterization during which I was able to learn the basics of data mining. I then continued my journey through data science and AI in order to understand the principles of learning. I worked on the evaluation of automotive markets and the prediction of vehicle prices with time series and machine learning models. I then joined an institute specialized in autonomous vehicles, the objective was to be able to recreate the real world from sensor data on vehicles traveling in Europe. I finally moved to Canada in the insurance industry to develop an R&D team and work on research projects focused on NLP, time series, and graphs."
Logistics
This is an online event. Participants will receive the link to the video conference after they register.
The schedule above is using Eastern Daylight Time (GMT-4).

Time series in financial domain: A deep learning approach