Duke Energy Machine Learning Engineer Interview Questions

The questions to prepare for a Duke Energy Machine Learning Engineer interview. Questions from real interview reports rank first. Updated weekly.

Supervised vs Unsupervised Learning

Easy

Explain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.

Unsupervised LearningFeature EngineeringBias-Variance Tradeoff

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Bias-Variance Tradeoff in Model Selection

Easy

Explain how bias and variance shape model complexity, generalization, and model selection.

Cross-ValidationBias-Variance TradeoffRegularization

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Handle Imbalanced Classification Data

Medium

Build a classifier for a highly imbalanced dataset and choose metrics, sampling, and thresholds that fit the minority class.

Cross-ValidationFeature EngineeringSupervised Learning

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Validate a Machine Learning Model

Easy

How to validate a machine learning model and interpret whether its metrics are trustworthy.

PrecisionAccuracyRecall

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Decision Tree From Scratch

Hard

Tests core coding ability and understanding of decision tree mechanics.

RecursionTreesDecision Trees

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Optimizing for Faster Execution

Medium

Tests your skill in performance optimization for ML training and inference.

SearchingSortingGreedy

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