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 happens when duplicating minority class for data balancing?
oversampling class-duplication class-imbalance
Practice in bot Medium Machine Learning
How does Random Forest work?
random-forest ensemble-methods bagging
Practice in bot Medium Machine Learning
Why are trees in Random Forest made uncorrelated to reduce variance?
random-forest variance-reduction decorrelation
Practice in bot Medium Machine Learning
Features of classical ML models like logistic regression?
classical-ml logistic-regression parametric-models
Practice in bot Medium Machine Learning
How does dropout work to improve neural network generalization?
dropout regularization neural-networks
Practice in bot Hard Machine Learning
How does learning rate tuning work in gradient descent?
learning-rate gradient-descent optimization
Practice in bot Medium Machine Learning Синергия
How to work with language models in NLP tasks?
language-models nlp fine-tuning
Practice in bot Medium Machine Learning
How do One-Hot vectors work in feature encoding?
one-hot-encoding categorical-encoding feature-engineering
Practice in bot Medium Machine Learning
When can logarithm give value 0?
logarithm numerical-stability loss-functions
Practice in bot Medium Machine Learning
How do 2D optimization landscapes work in ML?
optimization-landscape gradient-descent visualization
Practice in bot Medium Machine Learning
How does fixed step size work in optimization?
fixed-step-size learning-rate optimization
Practice in bot Medium Machine Learning Синергия
What distance metrics are used in machine learning?
distance-metrics similarity clustering
Practice in bot Medium Machine Learning Авито
How to collect and use user feedback in ML systems?
user-feedback data-collection feedback-loops
Practice in bot Medium Machine Learning
How to monitor spam classification in real-time chats?
real-time-monitoring spam-detection streaming
Practice in bot Medium Machine Learning
How to use lightweight embeddings for real-time services?
lightweight-embeddings real-time optimization
Practice in bot Medium Machine Learning
How to choose lightweight embeddings for baseline models?
lightweight-embeddings baseline-models performance-optimization
Practice in bot Medium Machine Learning
What types of lightweight embeddings exist?
embedding-types compression model-efficiency
Practice in bot Medium Machine Learning
How to create features based on user message sending speed?
temporal-features user-behavior feature-engineering
Practice in bot Medium Machine Learning
How to use Isolation Forest for anomaly detection?
isolation-forest anomaly-detection unsupervised-learning
Practice in bot Medium Machine Learning Авито
How to evaluate and improve ML model quality?
model-evaluation model-improvement quality-assessment
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