While Model Trains

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

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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3 levels of complexity: How I approach data science storytelling

Susan Shu Chang

A framework for crafting storylines in talks: help the audience understand real life impacts, bridge the context to abstract or technical, technical deep dives exist to do something.

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Automated text extraction at Bolt

Francesco Pochetti

A comprehensive explanation of the system implemented at Bolt to extract text from ID documents.

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