#25 Paris Women in Machine Learning & Data Science Hors-Série n°7: International Day Against Homophobia, Transphobia & Biphobia
🌈 On May the 14th 2020, we organized a special online meetup 3 days prior to the International Day Against Homophobia, Transphobia and Biphobia.
This day aims to raise awareness of LGBT rights violations and stimulate interest in LGBT rights work worldwide.
⭐️ The date of May 17th was specifically chosen to commemorate the World Health Organization’s decision in 1990 to declassify homosexuality as a mental disorder.
This year’s theme is “Breaking the silence” : https://may17.org/
🌈 Being part of the LGBTQ+ community is knowing what it feels like to be part of an invisible minority.
At WiMLDS Paris, we want everyone to feel welcome and included. Hence, The Paris WiMLDS team introduced the online session with some data.
🎬 You can watch the meetup here (excluding the last talk for confidentiality issues) :
We live in a product development world that changes rapidly. User needs are uncertain, stakeholders’ goals consequently change, product managers and designers want to AB test different solutions to attract and retain more customers, and if this was not enough, technology stacks change too. During her talk, Paola Ducolin gave a few tips that are helping her team and herself at Dashlane iterates more efficiently over the software, writing readable and well documented code, with refactoring as goal instead of as a nightmare.
💻 During this talk Paola’s main point was to make us understand that the users of the code are the developers. While we design everything else to be user-friendly, why don’t we do it for with coding?
📊 Ever since exponential increase in production, storage and movement of data, data science has grown central to our lives, pervading all industries and giving new dimensions to every job. So how do we face the growing needs for data savvy workforce in both companies and public institutions? The answer lies in educating and training new data scientists, and teaching other professionals to integrate data into their worklife. This talk presented Charles Tanguy’s views on how to train data scientists from ground zero to operational level quickly and well.
If you have been wavering about diving into Data Science, know that the ground is now perfect! The companies are starting to understand what Data Science ecosystem is about and will not ask you to do magic, and on the technical sides, you can have help from handy tools and communities.
📣 Our next meetup will happen on May 26th with a #BBLWiMLDSParis organized by our very own Betty Moreschini.
If you want to keep posted about our activities, you are welcome to:
📑 check our Google spreadsheet if you want to speak 📣, host 💙, help 🌠
📍join our Slack channel for more discussions about machine learning, data science, and diversity in tech!
📩 send an email to the Paris WiMLDS team to keep in touch >firstname.lastname@example.org
🔥 Feel free to share your company or lab’s job positions for free on WiMLDS’ website.