Problem
Scenario
You are training a supervised learning model and notice that training performance is much better than validation performance. You want the model to generalize better to unseen data.
Question
How would you regularize a model to reduce overfitting?
What This Tests
- Recognizing overfitting from train versus validation behavior
- Choosing appropriate regularization methods for different model families
- Using cross-validation to tune regularization strength
- Explaining the bias-variance tradeoff clearly
Practicing as: Data Scientist interview at Andela ProductsHi, I'll play your Andela Products interviewer for the Data Scientist role. Candidates describe these interviews as mostly positive and moderately difficult, so expect me to be friendly and conversational. Take your time with the question above and answer like we're in the room.
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