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scikit-learn & data science you own

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Manage episode 451016067 series 2385063
Content provided by Changelog Media and Practical AI LLC. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Changelog Media and Practical AI LLC or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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!

Join the discussion

Changelog++ members save 9 minutes on this episode because they made the ads disappear. Join today!

Sponsors:

  • TimescalePurpose-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.
  • WorkOSA 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:

Show Notes:

Something missing or broken? PRs welcome!

  continue reading

Chapters

1. Welcome to Practical AI (00:00:00)

2. Sponsor: Timescale (00:00:35)

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)

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)

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)

314 episodes

scikit-learn & data science you own

Practical AI

1,495 subscribers

published

iconShare
 
Manage episode 451016067 series 2385063
Content provided by Changelog Media and Practical AI LLC. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Changelog Media and Practical AI LLC or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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!

Join the discussion

Changelog++ members save 9 minutes on this episode because they made the ads disappear. Join today!

Sponsors:

  • TimescalePurpose-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.
  • WorkOSA 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:

Show Notes:

Something missing or broken? PRs welcome!

  continue reading

Chapters

1. Welcome to Practical AI (00:00:00)

2. Sponsor: Timescale (00:00:35)

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)

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)

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)

314 episodes

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