While Model Trains

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

Why Correlation Usually ≠ Causation

Gwern

"Despite this admonition, people are overconfident in claiming correlations to support favored causal interpretations and are surprised by the results of randomized experiments, suggesting that they are biased & systematically underestimate the prevalence of confounds / common-causation."

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Neural Network From Scratch

Simon Hørup Eskildsen

Build a mental model for how a neural network works by making one from scratch

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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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