scikit-learn & data science you own (Practical AI #296)

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We are at GenAI saturation, so let’s talk about scikit-learn, a long time favorite for data scientists building classifiers, time series analyzers, dimensionality reducers, and more! Scikit-learn is deployed across industry and driving a significant portion of the “AI” that is actually in production. :probabl is a new kind of company that is stewarding this project along with a variety of other open source projects. Yann Lechelle and Guillaume Lemaitre share some of the vision behind the company and talk about the future of scikit-learn!

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Sponsors:

• Timescale – Purpose-built performance for AI Build RAG, search, and AI agents on the cloud and with PostgreSQL and purpose-built extensions for AI: pgvector, pgvectorscale, and pgai.
• WorkOS – A platform that gives developers a set of building blocks for quickly adding enterprise-ready features to their application. Add Single Sign-On (Okta, Azure, Google, Microsoft OAuth), sync users from any SCIM directory, HRIS integration, audit trails (SIEM), free magic link sign-in. WorkOS is designed for developers and offers a single, elegant interface that abstracts dozens of enterprise integrations. Learn more and get started at WorkOS.com
• Shopify – Sign up for a $1/month trial period at shopify.com/practicalai

Featuring:

• Yann Lechelle – LinkedIn
• Guillaume Lemaitre – Mastodon, Twitter, GitHub, LinkedIn
• Chris Benson – Twitter, GitHub, LinkedIn, Website
• Daniel Whitenack – Twitter, GitHub, Website

Show Notes:

• :probabl.
• TechCrunch: Probabl is a new AI company built around popular library scikit-learn
• scikit-learn

Something missing or broken? PRs welcome!

Kapitler

1. Welcome to Practical AI (00:00:00)

2. Sponsor: Timescale (00:00:35)

https://www.timescale.com

3. What is :probabl? (00:03:05)

4. Stewarding open source projects (00:07:33)

5. What is scikit-learn? (00:11:13)

6. The data science landscape (00:13:19)

7. Sponsor: WorkOS (00:17:14)

https://workos.com

8. Scikit's role with general purpose models (00:20:50)

9. Further development (00:25:26)

10. :probabl's open source relationship (00:30:07)

11. Sponsor: Shopify (00:35:31)

https://www.shopify.com/practicalai

12. Fun & interesting use-cases (00:37:19)

13. Getting started for new devs (00:44:42)

14. Future of scikit & :probabl (00:47:13)

15. Outro (00:51:15)