Practical AI – Episode #296
scikit-learn & data science you own
with Yann & Guillaume from :probabl.
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!
Featuring
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
Notes & Links
Chapters
| Chapter Number | Chapter Start Time | Chapter Title | Chapter Duration |
| 1 | 00:00 | Welcome to Practical AI | 00:34 |
| 2 | 00:35 | Sponsor: Timescale | 02:17 |
| 3 | 03:05 | What is :probabl? | 04:29 |
| 4 | 07:33 | Stewarding open source projects | 03:39 |
| 5 | 11:13 | What is scikit-learn? | 02:06 |
| 6 | 13:19 | The data science landscape | 03:43 |
| 7 | 17:14 | Sponsor: WorkOS | 03:22 |
| 8 | 20:50 | Scikit's role with general purpose models | 04:36 |
| 9 | 25:26 | Further development | 04:40 |
| 10 | 30:07 | :probabl's open source relationship | 05:10 |
| 11 | 35:31 | Sponsor: Shopify | 01:32 |
| 12 | 37:19 | Fun & interesting use-cases | 07:23 |
| 13 | 44:42 | Getting started for new devs | 02:31 |
| 14 | 47:13 | Future of scikit & :probabl | 04:02 |
| 15 | 51:15 | Outro | 00:46 |