How deeply does Sutskever's List cover Occam's razor?

Defines the principle and illustrates it with a number sequence and pattern-matching questions.

Occam's razor

Occam's razor is the principle of preferring the simplest explanation that adequately accounts for the observations.

When several explanations fit the observations, Occam’s razor favors the simplest. It expresses a preference, not a reason to discard explanations that remain consistent with the evidence. section 9.1.2

Predicting the next number

For 1, 3, 5, 7, a simple pattern predicts 9. A more complicated explanation could predict 33; both fit the numbers shown, but the simpler generalization is preferred. section 9.1.2

How Sutskever's List covers it

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Also explained in

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Machine Learning for Tabular Data: XGBoost, Deep Learning, and AIOccam's razor principle favors the hypothesis that explains the evidence with the fewest assumptions among competing hypotheses.
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Delivering Machine Learning Projects: From design to deploymentOccam's razor is the principle of preferring the simplest explanation or model when alternatives have otherwise comparable adequacy.

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Related concepts

decision treeconfigures · A decision tree is a branching structure that represents sequential tests or choices, with paths leading to outcomes, predictions, or actions.

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