Name: 8. Women in Machine Learning & Data Science in Paris
Start: 2018-09-26T18:45:00+02:00
End: 2018-09-26T22:00:00+02:00
Location: BlaBlaCar

The Women in Machine Learning & Data Science (WiML&DS) Meetup aims to inspire and educate, regardless of gender, and support women in the field. The meetup is open to everyone.

Ready for the 8th meetup? We are back!

We can’t wait to see you!
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Agenda

19:00 – Introduction by BlaBlaCar & the Paris WiMLDS team

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19:25 – "Let us talk about output features!" by Florence d’Alché-Buc, LTCI & Full Professor @Télécom ParisTech,

Abstract : For many years, Machine Learning has focused on a key issue: the design of input features to solve prediction tasks. In this presentation, we show that many learning tasks from structured output prediction to zero-shot learning can benefit from an appropriate design of output features, broadening the scope of regression. As an illustration, I will briefly review different examples and recent results obtained in my team.

19:45 – “Nonnegative Matrix Factorization with Side Information for Time Series Recovery and Prediction" by Jiali Mei, Researcher @Shift Technology

Abstract : Motivated by the recovery and prediction of electricity consumption time series, we extend Nonnegative Matrix Factorization to take into account external features as side information. We consider general linear measurement settings, and propose a framework which models non-linear relationships between external features and the response variable. We extend previous theoretical results to obtain a sufficient condition on the identifiability of NMF with side information. Based on the classical Hierarchical Alternating Least Squares (HALS) algorithm, we propose a new algorithm (HALSX, or Hierarchical Alternating Least Squares with eXogeneous variables) which estimates NMF in this setting. The algorithm is validated on both simulated and real electricity consumption datasets as well as a recommendation system dataset, to show its performance in matrix recovery and prediction for new rows and columns.

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20:10 – "Womanhood & Technology : FemTech as an opportunity of using data, knowledge & science for emancipation" by Paola Craveiro, Senior Business Lead & Strategic Planner@French Bureau

Abstract : The specificities of women’s experiences have been denied & diminished for centuries. However, today, with technology comes a new age : the age of knowledge & empowerment ! As we are able to share, discuss, analyse & gather tangible data on neglected phenomenons, women’s lives have become a new source of inspiration for innovation. Could FemTech entrepreneurship be the path of a new activism ?
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20:45 – Networking / Cocktail

During the event, you can share content using #WiMLDSParis & @WiMLDS_Paris : https://twitter.com/WiMLDS_Paris

After the meet-up, all the slides will be available on our Medium page : https://medium.com/@WiMLDS_Paris

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Host information :

The room can welcome 120 people.
Twitter - https://twitter.com/blablacartech
Medium - https://medium.com/blablacar-tech

Caroline Chavier

Paris Women in Machine Learning & Data Science

Technology

Data Science

Data Mining

Machine Learning

Big Data

Open Source

Women in Technology

Data Management

Professional Women

Data Analytics

Data Visualization

Predictive Analytics

Artificial Intelligence

WiMLDS

8. Women in Machine Learning & Data Science in Paris

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Paris Women in Machine Learning & Data Science

8. Women in Machine Learning & Data Science in Paris

Paris Women in Machine Learning & Data Science

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