What we’re about
WiMLDS is a community of women interested in Machine Learning & Data Science. We host events (lightning talks, technical workshops, paper study lunches and networking events) managed by prominent researchers, engineers, statisticians, students, where we discuss machine learning and data science with the purpose of building a community around women in these fields. If you want to reach out to the organization team: email@example.com
All genders may attend our meetups.
Upcoming events (1)See all
- 45. Paris Women in Machine Learning & Data Science x Women in Big Data ParisContentsquare, Paris
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 45th edition, are you ready to get all the answers about data science?
All genders may attend our meetups.
19:00 - Launch of the evening by the Paris WiMLDS meetup team and Women in Big Data Paris
19:15 - Evaluation strategies with partially or unlabeled data by Daria Stefic, PhD, Data Scientist, and Sharone Dayan, Machine Learning Engineer, @ContentSquare
Abstract : When developing ML models for real life business problems, we are often dealing with partially or even unlabeled data. This poses challenges on the model evaluation. In this talk, we will present a couple of different ML models that share the problem of missing labeled data. We will briefly present the business context for developing such models, our evaluation strategies and possible future directions.
19:40 - Combinatorial Optimization with Policy Adaptation using Latent Space Search by Shikha Surana, Research Engineer, and Sophie Monnier, Business Development Engineer @InstaDeep
Abstract : Combinatorial Optimization underpins many real-world applications and yet, designing performant algorithms to solve these complex, typically NP-hard, problems remains a significant research challenge. Reinforcement Learning (RL) provides a versatile framework for designing heuristics across a broad spectrum of problem domains. Building on the intuition that performant search at inference time should be anticipated during pre-training, we propose COMPASS, a novel RL approach that parameterizes a distribution of diverse and specialized policies conditioned on a continuous latent space.
20:05 - Age : an age-old question? by Caroline Jean-Pierre, Consultant, founder @ Quantethix
Abstract : Caroline will explore the question of age and ageism in our digitalized societies and in AI in particular. She will present the analysis and the study she has carried out on this topic for the white paper "Les enjeux de l'IA générative" published by Data For Good, non for profit organisation.
20:40 - Cocktail with meetup participants
During the event, you can share content using @WiMLDS_Paris and @Contentsquare
After the meet-up, all the slides will be available on our Medium page : https://medium.com/@WiMLDS_Paris
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