54. Paris Women in Machine Learning & Data Science @leboncoin


Détails
The Women in Machine Learning & Data Science (WiMLDS) Meetup aims to inspire, educate, regardless of gender, and support women and gender minorities in the field.
All genders may attend our meetups.
Agenda
18:50 - arrival
Please be on time. To respect our speakers, the doors will close once the talks have started.
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19:00 - Launch of the evening by Paris WiMLDS meetup team & leboncoin
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19:15 - OpenCV Essentials: From Basics to Small Projects, by Irina Nikulina, Senior ML/CV Engineer.
Abstract: This presentation offers a practical introduction to OpenCV, one of the most widely used libraries for computer vision in Python. We'll explore essential tools and techniques useful for data scientists and engineers, and walk through two hands-on projects that demonstrate how OpenCV can be applied to real-world visual tasks.
19:45 - Survival Models: Proper Scoring Rule and Stochastic Optimization with Competing Risks, by Julie Alberge, phd Student in SODA team, at inria Paris Saclay.
Abstract : When dealing with right-censored data, where some outcomes are missing due to a limited observation period, survival analysis focuses on predicting the time until an event of interest occurs. Multiple classes of outcomes lead to a classification variant: predicting the most likely event, an area known as competing risks.
Here, we present a new strictly proper separable scoring rule to handle competing risks. Then, we propose SurvivalBoost, a gradient boosting trees implemented with the previous loss that outperforms 12 state-of-the-art models across several metrics, both in competing risks and survival settings, and with faster computation times compared to existing methods.
20:15 - To come!, by Aurélie Giard-Jacquet, AI practionner and tech podcaster
Abstract : to come!
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20:45 - Cocktail & Networking
The cocktail is sponsored by leboncoin.
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After the meet-up, a summary be available on our Medium page : https://wimlds-paris.medium.com/
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Code of Conduct
WiMLDS is dedicated to providing a harassment-free experience for everyone. We do not tolerate harassment of participants in any form.
All communication should be appropriate for a professional audience including people of many different backgrounds. Sexual language and imagery is not appropriate.
Be kind to others. Do not insult or put down others. Behave professionally. Remember that harassment and sexist, racist, or exclusionary jokes are not appropriate.
Thank you for helping make this a welcoming, friendly community for all.
All attendees should read the full Code of Conduct before participating: https://github.com/WiMLDS/starter-kit/wiki/Code-of-conduct

54. Paris Women in Machine Learning & Data Science @leboncoin