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Probabl

The Tabular AI company by the creators of scikit-learn

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Which AI agents are data scientists using and at which stages of their workflows?

In data deep dive #2, we investigate which AI agents data scientists are using and at which stages of their workflows.

The path toward Data Scientist Agents that enterprises can trust in production

Yann Debray and Gaël Varoquaux discuss the path toward building end-to-end Data Scientist Agents enterprises can trust in production.

Why Probabl signed the Open Weights open letter

Probabl signed the Open Weights and American AI Leadership open letter alongside Microsoft, Nvidia, Intel, IBM, Mistral, GitHub, Hugging Face, and others.

Data deep dive #1: Scikit-learn was downloaded 2B times in the last year. Is AI driving this boom?

Camilo Pedraza and Cailean Osborne investigate the booming downloads of scikit-learn.

Intel and Probabl announce collaboration to accelerate scikit-learn

Yann Lechelle announces strategic collaboration with Intel to accelerate scikit-learn.

AI helped you train your ML model, but can you vouch for it? Highlights from London Data Week

By Cailean Osborne, Head of Ecosystem Development at Probabl

We’re teaching agents the skills of data science: Methodology and statistical thinking

Yann Debray and Gaël Varoquaux explain what's needed to enable the adoption of AI agents in data science.

Open science is powering the Tabular Foundation Models revolution

Gaël and Cailean argue that open science is powering the Tabular Foundation Models revolution.

How AI coding assistants are reshaping enterprise demand for skills in technical teams: Interview with Mar Carpanelli

Arturo interviews Mar Carpanelli about how AI coding assistants are reshaping enterprise demand for technical skills.

Data science is not AI, but it is its genesis and its new frontier

Gaël Varoquaux explains why and how statistical thinking is the heart of AI.