- BBL #1 Paris WiMLDS Paper Reading Session
WiMLDS Paris is launching a new format: paper reading sessions. These sessions will happen at lunchtime, each 3rd Thursday of the month. The goal of these events is to take some time to discuss Machine Learning and Data Science papers that we found interesting, and take the opportunity to discover ML-passionate people in Paris. The events are limited to 30 people so discussions between attendees remain possible. This session's paper will be "Learning Embeddings for Product Size Recommendations" (https://bit.ly/2Z88rff), and discussions around the paper may concern among other subjects: recommender systems, transfer learning. Lunch is provided by Agorize, please reach out to organizers about any food allergy or restriction you might have. Don't hesitate to share content on social networks using #WiMLDSParis, #BBLWiMLDSParis and @WiMLDS_Paris
- 19. Hors-série #5 - Workshop on Bayesian Workflows with CmdStanPy - Paris WiMLDS
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 19th edition and our 1st coding workshop! All genders may attend our meetups. ------------------------ Learn how to implement Bayesian workflows using CmdStanPy (a Python interface for Stan). In this hands-on workshop, we will be working with a very fun (surprise!) dataset and make predictions using Bayesian methods. CmdStanPy allows pythonistas to add the power of Bayesian inference to their toolkit via a small set of functions and objects designed to use minimal memory and parallelize computation. Given a dataset and a statistical model written as a Stan program, CmdStanPy compiles the model, runs Stan’s MCMC sampler (via CmdStan) to obtain a sample from the posterior, and assembles this sample as a numpy nd-array or pandas.dataframe for downstream visualization and analysis. Seats are limited. Only subscribe if you know you will attend the workshop. As usual, the workshop will be led in English. ------------------------ AGENDA ------------------------ 6:30pm - 7:00pm: Introduction 7:00pm - 7:30pm: Intro to Bayesian Inference using Stan 7:30pm - 8:30pm: Hands-on Workshop 8:30pm - 9:00pm: Wrap Up / Networking ------------------------ SPEAKER BIO ------------------------ Mitzi Morris is a member of the Stan development team and the developer of CmdStanPy ( https://mc-stan.org/about/team/ ). She has worked as a software engineer in both academia and industry. She started out writing tools for Natural Language Processing in C and Java, then moved to genomics and biomedical informatics where she built pipelines for high-throughput sequencing electronic medical records data, all of which led to an increased interest in doing more and better statistics. She has been a Stan contributor since 2014 and joined the Stan team at Columbia in 2017. ------------------------ 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 ------------------------ WHAT TO BRING ------------------------ - Your laptop - Your smile :)
- 18. Hors-série #4 - Paris WiMLDS
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 18th edition! All genders may attend our meetups. --- Agenda 19:00 – Introduction by Heetch & the Paris WiMLDS team --- 19:25 – “Using weak supervision and transfer learning techniques to build knowledge graph to improve student experiences at Chegg” by Sanghamitra Deb, Staff Data Scientist @Chegg Abstract: With 2.2 million subscribers and two hundred million content views, Chegg is a centralized hub where students come to get help with writing, science, math, and other educational needs. In order to impact a student’s learning capabilities, we present personalized content to students. Student needs are unique based on their learning style , studying environment and many other factors. Most students will engage with a subset of the products and contents available at Chegg. Twitter: @sangha_deb 19:45 – “High performance language detection of Web pages" by Cécile Chailloux, Semantic Engineer @Dashlane Abstract : Language detection is a classical issue in NLP, and there’s been plenty of methods and APIs appearing in the past years. But with millions of web pages to analyze daily, and a constant privacy concern, we went for an ad hoc solution at Dashlane. In this talk I will present you the various challenges and solutions we encountered doing so. --- 20:10 – Panel discussion: Everything You Always Wanted to Know About Twitter (But Were Afraid to Ask) The panel discussion will be moderated by Natalie Cernecka, WiMLDS Paris Co-Organizer Panel participants : Mathilde Kurzawa, Tech Recruiter @Heetch Bio: After recruiting for the tourism industry, I started tech recruitment two years ago. I am particularly interested in the topics of diversity and inclusion, especially in the tech environment. I aim at creating safe spaces for everyone to express their talent and individuality, regardless of gender, race or age :) My motto : be good, and have fun ! Caroline Chavier, WiMLDS Paris Co-Founder Bio: Highly involved in promoting diversity in engineering teams, Caroline is the co-founder of the Paris Women in Machine Learning & Data Science meet-up. In 2019, she will be an Inclusion & Diversity co-chairwoman at the RecSys Conference in Copenhagen. Caroline has always been passionate about encouraging women to network, speak at conferences and present their work to peers. She is also a passionate tech recruiter, always ready to tweet! Marie Langé, Co-founder & CEO chez AMASAI Bio: Marie had been working for more than 10 years on digital & e-commerce projects for international brands, before a career change in Data Science. With two other women, she has now created her own company, AMASAI, which aims at providing consulting to companies to help them succeed with Data and AI projects, with ethics stakes in mind. Marie's been tweetting since 2008, at a time when she was an influential blogger and when Twitter was the place to be to grow an audience. It's still true today, and AMASAI uses extensively Twitter to gain visibility and legitimacy. 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 --- Host information : Twitter - https://twitter.com/HeetchEng Medium - https://eng.heetch.com/ The room can welcome 80 people. Please make sure to be on time. We can’t guarantee a seat once the meetup will have started. Good news: the meetup will be filmed so if you can’t make it, you will find it on our Youtube channel: https://www.youtube.com/channel/UCLOS2KYfz8Yvt05hXUZEeVQ Hence, only subscribe if you plan to be with us!
- 17. Paris Women in Machine Learning & Data Science @Facebook
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 17th edition! All genders may attend our meetups. --- Agenda 19:00 – Introduction by Facebook & the Paris WiMLDS team --- 19:25 – “Image generative modeling for design inspiration and image editing” by Camille Couprie, Research Scientist @Facebook AI Abstract: Generative models, and in particular adversarial ones, are becoming prevalent in computer vision as they enable enhancing artistic creation, inspire designers, prove usefulness in semi-supervised learning or robotics applications. We will see how to develop the abilities of Generative Adversarial Networks (GANs) to deviate from training examples to generate more original images of fashion designs. As a limitation of GANs is the production of raw images of low resolution, we also present solutions to produce vectorized results, and show how the developed method may be useful for image editing. 19:45 – “How to marry tech & classical music: prediction of a conductor’s hand gestures with recurrent neural networks" by Victoire Louis, Data Scientist @Edelia (EDF Group) Abstract : In this talk, I will present how from studying marketing I ended up doing a research on recurrent neural networks. I will introduce my project, the role of a music conductor and my dataset. I will present how I discovered coding in R and Python and why coding was just a way to achieve my goal. Finally, I will talk about how I answered my research question and the different models I tried. Twitter: @VictoireLouisC --- 20:10 – “Remaining true to yourself in a world that is not like us” by Gaëlle Gomis & Pamela Meuleye from Leader en Elle Abstract: Support your reflection on two main axes based on our personal experiences and market data: Choose a job where you are not expected (maybe where you disturb) because of your difference and How to adapt without losing our authenticity Twitter: @LeaderEnElle --- 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 --- Host information : The room can welcome 200 people. Please make sure to be on time. We can’t guarantee a seat once the meetup will have started. Twitter - https://twitter.com/facebookai https://research.fb.com/category/facebook-ai-research/
- 16. Women in Machine Learning & Data Science in Paris - Joint Meetup
------------------------------------------------------------------------------------ 🚨 LINK TO REGISTER: https://www.eventbrite.com/e/tech-talks-w-paris-data-ladies-paris-wimlds-women-who-go-tickets-61385759459 Please register on Eventbrite ONLY IF YOU REALLY PLAN TO COME ------------------------------------------------------------------------------------ 📣 This meetup is organized in collaboration with : - Paris Data Ladies - Paris WiMLDS - Women Who Go All the talks will be in English, but you can network afterwards in any language you like, over pizzas and drinks :) All genders are welcome to attend the event. Thanks to Doctolib for hosting! ------------------------------------------------------------------------------------ 📅 Schedule Talk #1: Marina Vinyes, Software Engineer in Machine Learning at Criteo, "Learning the structure of Gaussian Graphical models with unobserved variables" Talk #2: Melanie Warrick, Senior Developer Relations Engineer at Google, "An overview of changing my career into ML and 7 key points of advice that I share as I step through the progression" Talk #3: Sameh Ben Fredj, Data Scientist & IoT Consultant at Xebia ------------------------------------------------------------------------------------ 🚨 LINK TO REGISTER: https://www.eventbrite.com/e/tech-talks-w-paris-data-ladies-paris-wimlds-women-who-go-tickets-61385759459 ------------------------------------------------------------------------------------
- 15. Hors-série #3 - Paris WiMLDS - Visiting the Exhibition "Computer Grrrls"
Join us to see the multimedia exhibition "Computer Grrrls: History, Gender, Technology" at the Gaite Lyrique, dedicated to explore the role of women in technology. All genders are welcome to attend! More information can be found here: https://www.gaite-lyrique.net/en/event/computer-grrrls Please buy your own tickets at the entrance, and meet us inside the exhibition at 16:00. Finally, only subscribe if you are 100% sure to come. By doing so, you will help us to warn the Gaité Lyrique consequently.
- 14. Women in Machine Learning & Data Science in 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 14th edition! All genders may attend our meetups. --- Agenda 19:00 – Introduction by Malt & the Paris WiMLDS team --- 19:25 – “Machine Learning for automatic diagnosis: why your deep neural network might not work” by Manon Ansart, PhD Student @AramisLab (Sorbonne Université, Inserm, ICM, CNRS, Inria) Abstract: The early diagnosis of neurodegenerative diseases is crucial, as it could lead to early treatment and better chances of stopping the process. Machine learning algorithms provide an opportunity to diagnose these diseases earlier through automatic diagnosis, but their application to the medical domain is not straightforward. From data set size to interpretability, we will see why the beautiful, trendy and complex solution we can first think about might not be the best one. Twitter: @AnsartManon --- 19:45 – “Predicting with GCP (Google Cloud Platform)" by Giulia Bianchi, Data Scientist @Xebia Abstract : With the release of Google Cloud AutoML, Google Cloud Platform provides yet another out-of-the-box AI managed service. But this doesn’t mean that data scientists have no say in training and deploying customised machine learning models in the cloud. There are services, such as Cloud ML Engine, devoted to this specific goal. Let’s see how a data scientist can exploit GCP potential to expose its own model. Twitter: @Giuliabianchl --- ///// WE ARE SORRY TO INFORM YOU THAT THE TALK GOT CANCELLED > It will be replaced by an interactive session ///// 20:10 – "What's the point of having nerds in newsrooms (except for fixing the printer)?", by Laura Motet, Data Journalist at Le Monde Abstract: Data-journalists are usually compared to unicorns. Rare, since they know their ways around computers, but also a bit mysterious, since not many know exactly what they can really be used for. How does their work differ from other technical jobs in the newsroom, like graphics designer or programmer? Are they working along side "traditional" journalists? Do they use machine learning? What are the clichés and truths of being a data-journalist? Twitter: @LaMotet --- 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 --- Host information : The room can welcome 90 people. Please make sure to be on time. We can’t guarantee a seat once the meetup will have started. Twitter - https://twitter.com/malt_fr Website: https://www.malt.fr/
- 13. Hors-série #2 - Paris WiMLDS - Femmes, Science & Société
Le meetup Paris Women in Machine Learning & Data Science a pour but de réunir et de mettre en lumières des femmes et personnes non-binaires dans le domaine de l’intelligence artificielle et de la science des données. Exceptionnellement, nous organisons un meetup “hors-série” intitulé “Femmes, Science et Société”. A cette occasion, nous aurons l’immense honneur de recevoir Nicole El Karoui et Hélène Périvier. Nos deux intervenantes prendrons le temps de vous présenter leur parcours et travaux respectifs avant de débuter une conversation avec l’ensemble des participant.e.s sur la place des femmes dans les domaines scientifiques. Nicole El Karoui est une des mathématiciennes françaises les plus influentes. Connue pour ses travaux en mathématiques financières, Nicole El Karoui est Professeur (émérite) de Mathématiques Appliquées à Sorbonne universités (ex UPMC), Chercheur en mathématiques financières et longévité à Paris VI (http://www.masterfinance.proba.jussieu.fr/) et à l' Ecole Polytechnique. Son domaine de prédilection concerne les probabilités et les processus stochastiques. Hélène Périvier est une économiste incontournable. Elle est Économiste à l’OFCE et Directrice du programme PRESAGE de Sciences Po consacré à l’enseignement sur le genre (https://www.ofce.sciences-po.fr/pages-chercheurs/page.php?id=29). Ses domaines de recherche concernent les politiques sociales, familiales et fiscales ; les inégalités entre les sexes sur le marché du travail dans une perspective de comparaisons internationales. Exceptionnellement, notre meetup se déroulera en français. --- Programme: 19:00 – Lancement de la soirée par l’équipe du Paris WiMLDS meetup et MeilleursAgents représentée par Sarah Soleiman-Halevy 19:15 – “Femme, Probabilités et Finance” par Nicole El Karoui Abstract: “Les marchés (du risque) financiers, je suis "tombée dedans" par hasard, ce qui est normal pour une probabiliste. Mais le hasard a bien fait les choses, car c'était le bon moment! Il y avait tout à faire et à inventer: des mathématiques sophistiquées, des méthodes numériques, mise en place un temps de réaction très court (1mn/10m)...etc. Tous les ingrédients d'une start-up! C'était passionnant intellectuellement. Jamais rien n'est acquis et il faut se remettre en question en permanence. Suite à ce constat, il était clair qu'il y avait un besoin de former des gens à des sujets non-traditionnels pour la finance. C'est alors que j'ai créé le DEA à Paris VI avec une de mes amies. Cette formation a désormais 25 ans d'existence, 1300 diplômés à son actif, une réputation mondiale... Quelle drôle d'aventure…! Mais pourquoi les femmes se sont-elles retrouvées formatrices?... “ 19:40 – “La féministe, l'économiste et la Cité” par Hélène Périvier Abstract: Le champ des inégalités entre les sexes et du genre illustre la nécessité d’une approche réflexive de la connaissance : que veut-on en faire ? A quoi vont servir les résultats ? Finalement la question explicite ou sous-jacente est celle de l’acceptation ou non de cette forme d’inégalités et de leur possible justification. La controverse se pose en ces termes, c’est-à-dire autour des « propositions métaphysiques » pour reprendre la formule de l'économiste Joan Robinson. L’intention est donc inhérente à la recherche et souhaitable, elle est le moteur des controverses et de la production de connaissances qui les alimentent, ce qui in fine conduit à des argumentations scientifiques. --- 20:05 – Discussion ouverte sur la thématique “Femmes, Science et Société” avec Nicole El Karoui et Hélène Périvier. La discussion sera modérée par Caroline Chavier, co-fondatrice du meetup. --- 20:45 – Cocktail avec les participant.e.s du meetup --- La salle pourra accueillir 100 personnes. Inscrivez-vous uniquement si vous êtes certain.e.s d’y assister! Nous permettrons à 200 personnes de s'inscrire au regard du "no show" habituel. Twitter https://twitter.com/meilleursagents Medium https://medium.com/meilleursagents-engineering
- 12. Women in Machine Learning & Data Science in Paris
The Women in Machine Learning & Data Science (WiML&DS) Meetup aims to inspire and educate, regardless of gender, and support women in the field. We are back for our 12th edition! --- Agenda 19:00 – Introduction by Meritis & the Paris WiMLDS team --- 19:25 – “Human Body Extraction from Images” by Gül Varol, PhD Student @INRIA (Willow Team) Abstract: Human shape estimation is an important, but challenging task for video editing, animation and fashion industry. To address this problem, we generate synthetic images of people, the SURREAL dataset, to serve as training data. Then, we propose the BodyNet framework that infers 2D body part segmentation, 2D/3D pose estimation, and volumetric shape prediction in a multi-task neural network architecture. Our results and the dataset open up new possibilities for advancing person analysis using cheap and large-scale synthetic data. 19:45 – “Dataviz 101: Data is beautiful, please don't ruin it" by Anne-Marie Tousch, Senior Research Scientist @CriteoAILab Abstract : Why is it suboptimal to visualize data as plain figures? What is the purpose of data visualization? Why should you care? What is the interplay between statistics, data analysis, and a good marketing story? In this talk, I'll give some answers and try to convince you to adopt best practices in dataviz. --- 20:10 – Salary negotiation workshop by Natalie Cernecka Abstract. Today, only 7% of women negotiate their first salary, compared to 57% of men. This gap narrows later in career, yet, there is always 15% less women than men who negotiate at every stage. It’s time we change this and start negotiating our salaries, fees, and benefits. This workshop will give you basic principles, tools, and tips, so that you approach your next big negotiation in full confidence. Instead of waiting 200 years for gender wage gap to close, let’s learn to negotiate now! --- 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 --- Host information : The room can welcome 100 people. Twitter - https://twitter.com/Meritis Website: https://meritis.fr/