While Model Trains

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

From both sides now: the math of linear regression

Katherine Bailey

A journey starting from the standard formulation of linear regression, moving on to the probabilistic approach, and then progressing to Bayesian linear regression.

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Why do we minimize the mean squared error?

Alex Molas

A refresher on the theory behind Mean Squared Error.

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Why Are so Many Babies Born around 8:00 A.M.?

Zan Armstrong

Unpacking how schedules and methods of birth influence the birthday timestamp in the US, featuring cool data visualizations.

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