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.
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EasyMachine LearningConstructor
What do you mean by statistics on user features?
ml-generalml
Practice in botMediumMachine LearningConstructor
How would you prevent the model from promoting heavily discounted products during a sale?
ml-generalml
Practice in botMediumMachine LearningGRII
What kind of MLP would we use, and what would we train it on?
ml-generalml
Practice in botMediumMachine LearningGRII
What embedding model would we use for categorical features?
ml-generalml
Practice in botMediumMachine LearningGRII
For example, how would you one-hot encode the shape of a gemstone?
ml-generalml
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