[EN] From research to startup: scikit-learn and :probabl.
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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 catalogue
- https://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:peter@code4thought.org
- UK RSE Slack (ukrse.slack.com): @code4thought or @piddie
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- 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/
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