Wednesday 20 November 18:15 - 20:15

Hotel Novotel London West
1 Shortlands
London W6 8DR

Tickets Unavailable
  • πŸ‘”

Conference Meetup @ ODSC Europe 2019

Science & Technology

Details

We are excited to invite you to join together with your fellow Data Scientists on November, 20th at ODSC Conference Meetup.

Schedule:
6:15 pm - 6:45 pm - Networking
6:45 pm - 7:30 pm - Session 1 + Q&A
7:30 pm - 8:15 pm - Session 2 + Q&A

Agenda:
Session 1 - Machine Learning in Real-Time: Predicting Taxi Fare - 35 mins + 10 min Q&A

Speaker #1: Alexandre Combessie, Data Science Lead at Dataiku
https://www.linkedin.com/in/alexcbs/

Bio:
Alex has been a happy Data Scientist at Dataiku for 3 years, applying Machine Learning (but not only) to solve real issues. To him, putting a data project in production is like writing a good Haiku. Prior to that, He was involved in building the data science team at Capgemini Consulting. Alex started his career in economics, so he likes his models interpretable as well as deep. He is into traveling, learning new things and crafting useful products.

Abstract:
Today, the benefit of Machine Learning is conditioned to its deployment in real-time. In this talk, we will explain how to deploy a real-time taxi fare prediction engine to power an Uber-like application. Along the cycle of developing such project, we will highlight key lessons we learned:
- Understand the problem before building models
- Do not add features for the sake of features
- Try as many algorithms as possible
- Simplify your pipeline before deployment

Session 2 - 35 mins + 10 min Q&A
Talk and abstract - TBD

Speaker #2: Vincent Spruyt, Chief Innovation Officer at Sentiance
https://www.linkedin.com/in/vincentspruyt/

Bio:
Vincent serves as Chief Innovation Officer at Sentiance, a scale-up that uses AI to model, predict and coach human behavior using smartphone sensor data.
Previously, he acted as Chief Scientist and Vice President of Sentiance since joining in June 2014, during which he was responsible for building out the machine learning team at Sentiance, applying state-of-the-art academic research to real-life problems.
Vincent holds a Ph.D. in machine learning and was awarded the MIT innovators under 35 award in 2017. He founded several startups in his past and has years of experience in both the technology industry and the world of academic research.
Being the driving force behind the Ethical AI task force within Sentiance, he is deeply involved in the process of providing tooling and education to ensure algorithmic fairness across the Sentiance platform.

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