Dataford
Interview QuestionsInterview GuidesExperiencesMock InterviewsPricing
Get started

Regularization to Reduce Overfitting

MediumMachine Learning00:00
I
Practice interviewer
Your interviewer
In session
I
Interviewer

Welcome to your interview.

The question is on your right: Regularization to Reduce Overfitting. Take a moment with it first.

Talk your thinking through with me if you like - when you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes). Discussion and graded submissions share your five interviewer interactions, so spend them well.

You need to log in / sign up to chat or submit.

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