Your one-stop shop for all Changelog podcasts. Weekly shows about software development, developer culture, open source, building startups, artificial intelligence, shipping code to production, and the people involved. Yes, we focus on the people. Everything else is an implementation detail.
scikit-learn & data science you own (Practical AI #296)
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!
Changelog++ members save 9 minutes on this episode because they made the ads disappear. Join today!
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!