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 else do you know about Batch Normalization and Layer Normalization?
batch-norm layer-norm normalization
Practice in bot Medium Machine Learning Авито
What is ROC-AUC?
roc-auc classification-metrics evaluation
Practice in bot Medium Machine Learning Авито
What would you use - MSE or MAE - when there are outliers?
mse mae outliers
Practice in bot Easy Machine Learning Авито
Can you tell about precision, recall, accuracy?
precision recall accuracy
Practice in bot Hard Machine Learning Авито
What will happen to ROC-AUC if positive examples are duplicated 8 times and negative examples 11 times?
roc-auc data-duplication evaluation
Practice in bot Medium Machine Learning Авито
Should we trust ROC-AUC 0.99 with 1% positive class rate?
roc-auc imbalanced-data evaluation-bias
Practice in bot Medium Machine Learning Сбер
Tell about bias-variance decomposition
bias-variance model-error theoretical-ml
Practice in bot Medium Machine Learning Сбер
What methods can influence bias and variance?
bias-variance-control model-tuning regularization
Practice in bot Medium Machine Learning
Tell about ensemble methods
ensemble-methods bagging boosting
Practice in bot Hard Machine Learning Сбер
How does Stacking work?
stacking meta-learning ensemble
Practice in bot Medium Machine Learning Сбер
What's the difference between bagging and Random Forest?
bagging random-forest feature-randomness
Practice in bot Medium Machine Learning Сбер
By how many times can variance theoretically be reduced with bagging?
variance-reduction bagging-theory mathematical-analysis
Practice in bot Medium Machine Learning Сбер
How does learning work in gradient boosting?
gradient-boosting learning-mechanism error-correction
Practice in bot Hard Machine Learning Сбер
What happens at each iteration of boosting?
boosting-iterations algorithm-steps detailed-process
Practice in bot Easy Machine Learning Сбер
Why is regularization needed?
regularization overfitting generalization
Practice in bot Medium Machine Learning Сбер
What regularization methods exist for different model types?
regularization-methods model-specific techniques
Practice in bot Medium Machine Learning Сбер
Is normalization in neural networks a regularization?
normalization regularization neural-networks
Practice in bot Medium Machine Learning Сбер
What will happen to quality if we remove the 12th tree from Random Forest?
random-forest tree-removal ensemble-robustness
Practice in bot Medium Machine Learning
What if we remove the 12th tree from gradient boosting?
gradient-boosting sequential-dependency tree-removal
Practice in bot Hard Machine Learning Сбер
What happens if training continues after reaching global minimum?
optimization overfitting training-dynamics
Practice in bot Prepare for your next interview with Vibe Interview.
Download Vibe Interview