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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It's ML, not magic: simple questions you should ask to help reduce AI hype

Stephen Merity

A series of questions to maintain control over the hype surrounding AI. Always more relevant.

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The dangers behind image resizing

Marco Venturelli

"It is essential to carefully choose the library you want to use to perform resize operations, particularly if you're going to deploy your ML solution."

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