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distributions

AI, ML & GenAI 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 KnowA small set of distributions covers 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. AI, ML, and GenAI engineer interviews probe this because the distribution you assume is the loss you minimize: Bernoulli yields cross-entropy, normal yields mean-squared error, and naming that link shows you grasp what a model is actually fitting.
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