While Model Trains

Read data blog posts.
Carefully handpicked.
Presented 3 at a time.

4.2 Gigabytes, or: How to Draw Anything

Andy Salerno

Sketching a cityscape and a spaceship, and then running both through Stable Diffusion to demonstrate the technology.

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Variance after scaling and summing: One of the most useful facts from statistics

Chris Said

"What do R2, laboratory error analysis, ensemble learning, meta-analysis, and financial portfolio risk all have in common? The answer is that they all depend on a fundamental principle of statistics that is not as widely known as it should be. Once this principle is understood, a lot of stuff starts to make more sense."

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Sandwich Data Science 2: Electric Boogaloo

Ethan Rosenthal

A good old linear regression and Italian food. What more could you ask for?

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