[EN] From research to startup: scikit-learn and :probabl.

English Edition: scikit-learn is THE open source programming library for all things machine-learning. And since 2024, it is the core part of a company called :probabl.  What this means for the millions of users of scikit-learn and the many contributors is something we find out in this episode, where I talk to Marie Sacksick (skore), Arturo Amor (skolar) and Yann Lechelle (president and co-founder of :probabl.).  Links: https://www.probabl.ai Home page for :probabl.  https://probabl.ai/skore  Skore https://github.com/probabl-ai/skore GitHub repo for skore https://scikit-learn.org/stable/about.html scikit-learn Python library https://blog.probabl.ai/intel-and-probabl-announce-collaboration-to-accelerate-scikit-learn-on-intel-hardware Collaboration between Intel and :probabl.  https://scikit-learn-central.probabl.ai/#/catalog The central cataloguehttps://github.com/probabl-ai/scikit-learn-central GitHub repo https://skolar.probabl.ai/ skolar, the certification programme https://inria.github.io/scikit-learn-mooc/ the INRIA MOOC for scikit-learn https://skrub-data.org/stable/ skrub (another project at :probabl.)https://github.com/skrub-data/skrub    Get in touch Thank you for listening! Merci de votre écoute! Vielen Dank für´s Zuhören! Contact Details/ Coordonnées / Kontakt: Email mailto:[email protected] UK RSE Slack (ukrse.slack.com): @code4thought or @piddie  Bluesky: https://bsky.app/profile/code4thought.bsky.social LinkedIn: https://www.linkedin.com/in/pweschmidt/  (personal Profile)LinkedIn: https://www.linkedin.com/company/codeforthought/ (Code for Thought Profile) This podcast is licensed under the Creative Commons Licence:  https://creativecommons.org/licenses/by-sa/4.0/