Seeing Theory
Brown University
A visual introduction to probability and statistics. Drag, toss, and simulate your way through regression, variance and distributions.
Pairs well with: research design, A/B tests, NHR data interpretation.
Issue 01 — Learning, in the open
A small, shared corner of the internet. Open one, click around, then leave a note for the rest of us — what clicked, what didn't, what we should steal for Cortex™.
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Brown University
A visual introduction to probability and statistics. Drag, toss, and simulate your way through regression, variance and distributions.
Pairs well with: research design, A/B tests, NHR data interpretation.
interactive-ml.com
A playground for fundamental ML algorithms. Move sliders, watch decision boundaries and metrics shift in real time.
Pairs well with: model intuition, precision/recall debates, demo days.
Brendan Bycroft
A 3D walkthrough of GPT-2 — every embedding, attention head and matrix multiplication, all in the open.
Pairs well with: Cortex™ internals, prompt engineering, onboarding.
Log learning
One paragraph is fine. A sentence is fine. Future-you will be grateful.
The feed