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
What important aspects should be considered when developing ML system?
ml-systems development-process best-practices
Practice in bot Medium Machine Learning
How to compare quality of different annotations and labeling?
annotation-quality labeling data-quality
Practice in bot Medium Machine Learning
How to tune number of leaves in trees to avoid overfitting?
tree-complexity overfitting hyperparameter-tuning
Practice in bot Medium Machine Learning
Advantages of simple models for forecasting and control?
simple-models interpretability forecasting
Practice in bot Medium Machine Learning Альфа-Банк
When to conduct A/B testing of ML models?
ab-testing model-deployment validation
Practice in bot Medium Machine Learning
How to model customer response to marketing offers?
customer-response marketing-analytics uplift-modeling
Practice in bot Medium Machine Learning
How can model account for differences between different product offerings?
product-modeling recommendation-systems customer-analytics
Practice in bot Medium Machine Learning Альфа-Банк
How to generally detect model overfitting?
overfitting model-validation regularization
Practice in bot Medium Machine Learning Альфа-Банк
How to handle last two columns with problematic data?
data-preprocessing missing-values data-quality
Practice in bot Medium Machine Learning
How to find anomalies in salary structure using ML?
anomaly-detection hr-analytics organizational-analysis
Practice in bot Medium Machine Learning
How to interpret 24-point drop in model metrics?
metric-degradation performance-analysis troubleshooting
Practice in bot Medium Machine Learning
How to work with inherited ML solutions from previous teams?
legacy-systems knowledge-transfer system-migration
Practice in bot Medium Machine Learning
What is Gini coefficient in credit scoring context?
gini-coefficient credit-scoring model-evaluation
Practice in bot Medium Machine Learning
What types of histograms are useful for ML data analysis?
histograms data-visualization data-analysis
Practice in bot Medium Machine Learning
Why can Gini coefficient be inverted when calculated through AUC?
gini-coefficient metric-validation label-encoding
Practice in bot Medium Machine Learning
Alternatives to median imputation for missing values in ML?
missing-values imputation data-preprocessing
Practice in bot Medium Machine Learning Альянс Кредит
How to handle fraud features that exist only for suspicious customers?
fraud-detection sparse-features selection-bias
Practice in bot Medium Machine Learning Альянс Кредит
What minimum metric change is considered significant in ML?
statistical-significance effect-size metric-validation
Practice in bot Medium Machine Learning Альянс Кредит
How many positive and negative examples needed for model training?
sample-size class-balance training-data
Practice in bot Medium Machine Learning Альянс Кредит
How to understand that there's too little data to build reliable model?
data-sufficiency sample-size model-reliability
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