OVER DEZE AFLEVERING
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!
Engels
Verenigde Staten
IN DEZE AFLEVERING
TRANSCRIPTIE 🔗
Are you the producer of this podcast?
Add a podcast transcript
Need Audio-to-Text?
Transcribe with Listen411 in Just 60 Seconds
OUDE AFLEVERINGEN ZOEKEN
Zoek naar eerdere afleveringen van Practical AI.
ANDERE AFLEVERINGEN IN DEZE PODCAST
As AI continues to reshape how organizations work, companies are increasingly asking what AI proficiency should look like across their workforce, and how they can help employees adapt without simply mandating AI adoption. Our returning guest Mike Lewis, Chief AI Architect at TiER1 Performance, join…
What happens when AI agents driven by a top frontier model escape their secure sandbox? Join Daniel and Chris as they unpack the AI wonk's equivalent of a murder mystery! OpenAI agents went rogue and successfully attacked Hugging Face private infrastructure. Our Dynamic Duo uncover how OpenAI's age…
As AI moves from experimentation to enterprise deployment, are organizations thinking too much about models and not enough about architecture? In this episode, Daniel and Chris talk with Chetan Gupta, Chief AI Officer at Rackspace, about the evolution from industrial AI and physical AI to today’s e…
AI has moved far beyond chatbots, but what exactly are AI models, agents, agent harnesses, and multi-agent systems, and why do they matter?
In this episode, Daniel and Chris break down the terminology behind today's AI landscape, explain the differences between AI features and autonomous agents, an…
How do we build an AI ecosystem where agents, tools, and systems can work together at scale? Angie Jones, VP of the Agentic AI Foundation, joins Chris to discuss the open standards and projects shaping the agentic future, including MCP, A2A, Goose, etc. They also explore what it takes to drive AI a…
Disclaimer: De podcast en de illustraties die op deze pagina zijn ingesloten, zijn afkomstig van Daniel Whitenack and Chris Benson, eigendom van de eigenaar en niet gelieerd aan of goedgekeurd door Listen Notes, Inc.
BEWERKEN
Bedankt voor uw hulp bij het up-to-date te houden van de podcast-database .