While Model Trains

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

Confession of a so-called AI expert

Chip Huyen

"Even though I’m one of the beneficiary of this AI craze, I can’t help but thinking this will burst. I don’t know how and when, but I have this belief that the system is currently being rigged in favor of people whose resumes dotted with fancy keywords like mine, and a rigged system can’t be sustainable."

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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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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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