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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Data scientist, working without data

Randy Au

A data scientist's skills can prove useful even in situations where data may be unavailable.

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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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