Question Bank
Machine Learning interview questions Naming a model or a metric is only the start of an interview answer. Explain why it fits the task, and connect training, regularization, validation and evaluation to a concrete example. Start with your own explanation, then state its assumptions and limitations.
Medium Machine Learning Мегафон
What model do you usually use as baseline?
baseline-models model-selection benchmarking
Practice in bot Medium Machine Learning
How is boosting trained?
boosting gradient-descent sequential-learning
Practice in bot Medium Machine Learning
How to select and tune key model parameters?
hyperparameter-tuning grid-search parameter-selection
Practice in bot Medium Machine Learning Мегафон
Can model overfit and how to detect it?
overfitting model-validation regularization
Practice in bot Medium Machine Learning
What clustering methods do you know?
clustering k-means dbscan hierarchical
Practice in bot Medium Machine Learning Мегафон
What classification metrics do you know?
classification-metrics precision recall roc-auc
Practice in bot Medium Machine Learning Мегафон
In what cases can you use recall?
recall classification-metrics false-negatives
Practice in bot Medium Machine Learning
How to recover lost data or information in ML project?
data-recovery version-control backup-strategies
Practice in bot Medium Machine Learning
How to compare ML model with simple rules or heuristics?
model-comparison heuristics baseline-evaluation
Practice in bot Medium Machine Learning
How to measure churn rate reduction with ML model?
churn-prediction ab-testing business-impact
Practice in bot Medium Machine Learning
How to determine customer churn propensity?
churn-prediction propensity-modeling customer-analytics
Practice in bot Medium Machine Learning
Difference between theoretical ML knowledge and practical application?
ml-theory practical-ml skill-development
Practice in bot Medium Machine Learning Газпромбанк
Why is one metric insufficient to evaluate ML model effect?
model-evaluation metrics holistic-assessment
Practice in bot Medium Machine Learning
How to organize logging and monitoring process for ML models?
logging monitoring mlops
Practice in bot Medium Machine Learning
How is ML used for cross-selling and additional service recommendations?
cross-selling recommendation-systems customer-analytics
Practice in bot Medium Machine Learning
What can happen to logistic regression when assumptions are violated?
logistic-regression model-assumptions model-diagnostics
Practice in bot Medium Machine Learning
What does out-of-time validation mean in ML models?
temporal-validation out-of-time time-series
Practice in bot Medium Machine Learning
How to identify two main global causes in ML problem?
root-cause-analysis feature-analysis causality
Practice in bot Medium Machine Learning
How to tune hyperparameters to squeeze maximum from model?
hyperparameter-tuning optimization model-improvement
Practice in bot Medium Machine Learning
How to use internal metrics for ML model validation?
internal-metrics model-validation business-metrics
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