56. Paris Women in Machine Learning & Data Science @AWS
Details
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.
We are back for our 56th edition, and so glad to see you all again!
All genders may attend our meetups.
Agenda
18:50 arrival to AWS, Tour Carpe Diem, 31 Pl. des Corolles, 92400 Courbevoie
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19:00 - Launch of the evening by Paris WiMLDS meetup team & AWS
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19:15 - Smart Alerting: Forecasting and Anomaly Detection in E-commerce, by Fatima Ben Kadour, Data Scientist and Man Zhang, Senior Data Analyst at Decathlon
Abstract: The presentation introduces Smart Alerting, a system that uses machine learning and statistics to automatically detect anomalies in sales and performance data during platform rollouts. It helps identify incidents faster, reduce manual monitoring, and support data-driven decision-making.
19:45 - AWS Powers Bundesliga Video Translation, by Marine De Backer, Data Scientist Associate Consultant at AWS
Abstract: Discover how the Bundesliga leveraged AWS to translate and localize media content, allowing fans around the world to enjoy it in their native language. We will present the modular workflow designed to handle diverse content types, the different steps of the localization process, and the system's automatic learning capabilities.
20:15 - TBC
Abstract: tbc.
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20:45 - Cocktail & Networking
The cocktail is sponsored by AWS.
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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 & MLOps are 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