Probability & Statistics interview questions.
A curated set of 18 questions that repeatedly exercise Probability & Statistics concepts in AI/ML interviews.
Explain the bias-variance trade-off.ML Fundamentals · easy · Evidence 77/100Sample From a Non-Uniform RNGML Coding & PyTorch · hard · Evidence 77/100Implement rejection samplingML Coding & PyTorch · medium · Evidence 77/100When would you use a one-tailed vs two-tailed t-test?ML Fundamentals · medium · Evidence 77/100Random pick with weightPython & DSA · medium · Evidence 77/100Which statistical tests can detect distribution drift?ML Fundamentals · hard · Evidence 77/100What is maximum-likelihood estimation?ML Fundamentals · medium · Evidence 75/100Write the mathematical form of Wasserstein distance and explain it.ML Math · hard · Evidence 75/100Implement KL divergence in Python.ML Coding & PyTorch · medium · Evidence 75/100Implement a Categorical SamplerML Coding & PyTorch · medium · Evidence 66/100Efficient Multinomial SamplingML Math · medium · Evidence 66/100When should domain adaptation be used?ML Fundamentals · hard · Evidence 41/100Derive Binary Cross-EntropyML Math · medium · Evidence 41/100How would you monitor distribution drift in a multimodal model?ML System Design · hard · Evidence 41/100Bayes Theorem for a Rain Prediction ScenarioML Math · medium · Evidence 41/100How would you choose between two plausible model families for the same objective?ML Fundamentals · medium · Evidence 41/100How would you prove that a rejection-sampling procedure is correct?ML Math · hard · Evidence 41/100Mini-batch Training TradeoffsML Math · medium · Evidence 34/100