Episode
scikit-learn & data science you own
- Podcast
- Practical AI
- Published
- Nov 19, 2024
- Duration seconds
- 3122
- Processing state
failed- Canonical source
- https://share.transistor.fm/s/5e938e26
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Summary
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! 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 – GitHub , LinkedIn , Mastodon , X Chris Benson – Website , GitHub , LinkedIn , X Daniel Whitenack – Website , GitHub , X Show Notes: :probabl. TechCrunch: Probabl is a new AI company built around popular library scikit-learn scikit-learn Upcoming Events: Register for upcoming webinars here !