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Paris Women in Machine Learning and Data Science

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From data to startup: how data skills can take you to Y Combinator, by Claire Gouze
How to choose the best image embeddings for your e-commerce business, by Urszula Czerwińska,
Survival Models: Proper Scoring Rule and Stochastic Optimization with Competing Risks, by Julie Alberge
No Capes Needed: The Real Superpowers of Women in Tech, by Aurélie Giard-Jacquet
OpenCV Essentials: From Basics to Small Projects, by Irina Nikulina
AI Revolution: How Artificial Intelligence is Reshaping Business, by Alina Krasnobrizha
(Online) Convex Reinforcement Learning and applications to Energy Management Problems by Bianca Marin Moreno
Welcome to the techno broligarchy by Mathilde Saliou
Low Rank Optimisation, by Irène Waldspurger
From Golem to Code: AI and Male Fantasies of Self-Engendering by Isabelle Collet
From Machine Learning Scientist to Full Stack Data Scientist: Lessons learned for ML in production by Anaël Beaugnon
CI CD in the age of machine learning by Sofia Calcagno
Sequential and reinforcement learning for demand side management by Margaux Brégère
How and why AI should fight cybersexism, by Chloe Daudier