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40. Paris Women in Machine Learning & Data Science @Datadog

Photo de Caroline Chavier
Hosted By
Caroline C. et 3 autres
40. Paris Women in Machine Learning & Data Science @Datadog

Détails

Let’s celebrate our 40th meetup!

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 very happy to celebrate this special meetup with you.

## All genders may attend our meetups.

We will be hosted by Datadog. Their policy requires the participants to have badges inside the building. On top of the subscription on this meetup page, you can fill this form now to have your badge prepared (https://framaforms.org/wimlds-x-datadog-meetup-1667320362), or ask to create it upon your arrival (in that case, please arrive early).

Agenda

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

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19:15 – “On Machine Learning Readiness” by Anne-Marie Tousch - Senior Data Scientist @Datadog

Abstract: As a machine learning practitioner, you probably have met people asking the question: how can I use machine learning to solve my problem? In this talk, we'll present a few of the challenges of setting up a machine learning pipeline in the real world. We'll explain why it is fundamentally different from a typical software engineering pipeline. And we'll (try to) give a few best practices to help software engineers "think ML" and prepare their collaboration with data scientists.

Twitter: @amy8492

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19:45 – "New edge prediction and anomaly-detection in large computer networks" by Dr Silvia Metelli, Marie Skołodowska-Curie Individual Fellow

Abstract : Monitoring computer network traffic in search for anomalous behaviour is both a challenging and important task for cyber-security. New edges, i.e. connections from a host or user to a computer that has not been connected to before, provide potentially strong statistical evidence for detecting anomalies and in rare cases might suggest the presence of intruders or malicious activity. In this talk, I will introduce a robust Bayesian model and anomaly detection method for simultaneously characterising network structure and modelling likely new edge formation in a large computer network graph. What constitutes normal behaviour for some hosts might be very unusual for some others and thus examining existing network structure (e.g. clusters of similar clients and servers) is key for accurately predicting likely future interactions. Finally, the model is used to construct an anomaly detection method, which successfully identifies some of the machines known to be compromised when demonstrated on real computer network authentication data.

Twitter: @MetelliSilvia

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20:15 – "Emergency plan to secure winter: what are the measures set up by RTE?" by Sophie Diakhate, Ingénieure Génie électrique, Consultante en énergie et utilities at Yélé

Abstract: The french electric system is currently going through an exceptional crisis, threatening the electric supplies for this winter, and potentially the next ones. As the guarantor of the balance between supply and demand, RTE must assume the security of supply security in France. They set up an emergency plan to secure winters. Yélé helps RTE to carry on that plan.
We are going to see what are the primary measures proposed by RTE for the winter 2022-2023, and the options for individuals and the industry to reduce the risks of network load shedding.

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20:45 – Networking / Cocktail

During the event, you can share content using #WiMLDSParis & @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 :
Twitter - https://twitter.com/datadoghq
The auditorium can welcome 80 people.
Please make sure to be on time. We can’t guarantee a seat once the meetup will have started.

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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

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Paris Women in Machine Learning & Data Science
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Datadog
21 Rue de Châteaudun · Paris