While Model Trains

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

The Illustrated Stable Diffusion

Jay Alammar

A beginner-friendly overview of how Stable Diffusion works.

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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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Recommendations

Simon Hørup Eskildsen

Cool explanation of computational aspects of recommendations avoiding to "get lost in the weeds of linear algebra".

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