:probabl.

We are humbled to be named Champion 2024 of the Pôle Systematic Paris Region cluster (greater Paris region), along with Quandela, UAVIA, Sekoia.io and SCALINX. We stand on the shoulder of giants that precede us. Dataiku comes to mind in our space (champion in 2020), OVHcloud (in 2013), or SiPearl (just last year). Thank you Jean-Luc Beylat, Fadwa Sube, Christian Gautherot, Catherine Delfour and the team for your support and encouragements thus far, and thank you to the entire jury for their due diligence : Philippe Gandillet, Karine JACQ, Damien Pelletier, Jean-Luc ALEXANDRE, Jérôme Snollaerts, Guy Gourevitch, Ben SEBAG, Eric Tossah, Cyrus Contant, Anne Fahy ,Frederick HENRICH, Isabelle Veil Perona, Virginie Grand with the generosity of HSBC with Arnaud Malézieux and Davis Andriamboavonjy.

Annonce des résultats du AI Action Summit Challenge 2024 ! Nous sommes ravis de partager avec vous les résultats de notre compétition de compétences en IA dans la fonction publique, qui s'est tenue à l’occasion du AI Action Summit ! Grâce au MOOC d'Inria sur scikit-learn et à notre nouvelle certification officielle pour ce framework, cette compétition de 55 jours a pu offrir des solutions de formation et d'évaluation à grande échelle pour l'administration publique en France. Un grand merci à tous les participants pour leur enthousiasme. Nous tenons également à remercier nos co-organisateurs et partenaires pour leur soutien tout au long de cet événement. Direction interministérielle du numérique (DINUM), Inria, Inria Academy, Secrétariat général pour l'investissement. Pour en savoir plus sur les certifications scikit-learn  https://lnkd.in/gM8qXnn6 #DataScience #scikitlearncertified #Scikitlearn #Certification #IA #Innovation #ML Ministère des Armées Ministère de l’Économie, des Finances et de la Souveraineté industrielle et numérique Ministère de la Justice Ministère de l'Intérieur Ministères Aménagement du territoire Transition écologique

🚨 Alerte wébinaire: Transcender l’art et la science des données en atout de performance business. 📅 le jeudi 13 mars de 11h à 12h. 😎 Avec Yann Lechelle, Gael Varoquaux, Nicolas Delaforge et Warith Harchaoui S'inscrire ici 👉 https://lnkd.in/eS3hnc_B 🙏 Merci à Systematic Paris-Region pour l'organisation de ces wébinaires dans le cadre de la semaine des champions !

Metrics matter, but sometimes ... model calibration matters more. And there is a small risk that metrics hide that fact. Our latest YT video explains why. https://lnkd.in/emSHQDdx

We are thrilled to announce that our very first masterclass was a resounding success! 🧠 The event, “Aligning probabilistic classification with business decisions using scikit-learn” brought together an incredible group of data leaders from top-tier organizations like Capgemini, Intel Corporation, MARGO, Socomec Group, Inria, ING, CHANEL, Capital Fund Management (CFM) and Cabinet du Premier ministre. It was an amazing opportunity for attendees to not only deepen their knowledge of probabilistic classification and its business impact but also to network with some of the brightest minds in the industry. 🙏 A big thank you to our cofounders Olivier Grisel and Guillaume Lemaitre, core developers of scikit-learn, who shared their expertise with our participants and helped bridge the gap between cutting-edge machine learning techniques and real-world business applications. ✨ We are proud to have created a space where industry leaders can connect, learn, and exchange ideas to drive innovation in data science and machine learning. The connections made and the knowledge shared will surely have a lasting impact! Looking forward to more collaborations and opportunities to bring the community together in the future. Stay tuned! 👉 Join our next masterclass: https://lnkd.in/ehyAH7nE #scikitlearn #machinelearning #datascience #networking #masterclass #AI #businessimpact #opensource

:probabl. invited me to attend a masterclass on probabilistic classification and business decisions in Paris. We had very interesting conversations on classifier calibration and when to use stratification - all with this stunning view on Paris. Great to meet the heroes behind scikit-learn! Thanks a lot Guillaume Lemaitre, Olivier Grisel, David Arturo Amor Quiroz, Xavier HERMAN ✔ and colleagues!

We know your time and attention are precious. Thank you for the followship 🙏

📣 Calling all professional scikit-learn users! We’re developing professional support services and need your input. Imagine a central helpdesk to manage and discuss your challenges (confidentially!), direct input from core contributors, rapid technical guidance and best practices, early access to new features, and long-term support options—all in one place. Share your thoughts in our quick survey to help shape these services for our entire community. 📊 Complete the survey here 👉 https://lnkd.in/gx6_Macc 🎁 Plus, one lucky respondent will score our :probabl. #backpack, jam-packed with goodies—stickers, a sweatshirt, water bottle, candy, and more! 🍀 How to increase your chances for the giveaway: - Like this post and tag someone who might also benefit from these services. - Each tag = an extra entry, so spread the word! #DataScience #MachineLearning #ScikitLearn #OpenSource

There is a subtle, but important, difference between metrics and scorers in scikit-learn. Understanding this difference really matters, especially when you want to apply ML in business with custom metrics. So we made a new tutorial on the topic: https://lnkd.in/eBiXjFg5

skore has a ⭐ CrossValidationReport ⭐ that provides you with an EstimatorReport for each fold of your cross-validation, enabling you to inspect your estimator on each fold. This saves you lines of code and computing time! We made a short video demo for this feature. 📽️ YouTube video demo (~3 min): https://lnkd.in/eqEcY5Vx 🔗 Skore GitHub repo: https://lnkd.in/eph7nmbu