In this high-level yet detailed blog post, I expend on the statistics that hold together AI and data science: blog.probabl.ai/data-science...
Who's Who of AI
Gaël Varoquaux
Research & code: Research director @inria
►Data, Health, & Computer science
►Python coder, (co)founder of scikit-learn, joblib, & @probabl.bsky.social
►Sometimes does art photography
►Physics PhD
What they're sharing
Data science is not AI, but it is its genesis and its new frontier blog.probabl.ai
Articles & links
Their own posts
Recent commentary
Modern AIs tackle different questions than data science on industry or scientific applications. Statistical thinking, front and center in data science, is often hidden in AI. But it’s just as crucial. And too often, we treat data science or AI as merely a programming exercise
Their network
In Gaël Varoquaux's orbit
Center = Gaël Varoquaux. Left = members they follow (green edges). Right = members who follow them (blue edges). Top = mutual follows (orange edges, slightly larger). Drag any node to reposition; click to open that profile.