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distributions

Applied AI interview questions tagged distributions, across every topic.

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Concepts behind "distributions"

The curriculum that explains the ideas these questions test.

Foundational
📊 Evaluation & ML Foundations
Probability Distributions You Should KnowThe handful of distributions that cover most modeling situations: Bernoulli and binomial for yes/no outcomes and counts of successes, normal for sums and measurement noise, Poisson for event counts in a window, and exponential for waiting times. Applied AI interviews probe this because the distribution you assume is the loss you minimize: Bernoulli gives you cross-entropy, normal gives you mean-squared error, and naming that link shows you understand what a model is actually fitting.
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