How do I approach Machine Learning interview questions?

Machine Learning questions require understanding of core concepts and practice. PracHub provides solutions with explanations to help you master machine learning interviews.

What difficulty level is this interview question?

This is a medium difficulty Machine Learning question, commonly asked during Onsite rounds at Snapchat.

What role is this question designed for?

This question is commonly asked for Machine Learning Engineer candidates at Snapchat during technical interviews.

Explain Core ML Concepts | Snapchat Interview Question

Explain Core ML Concepts

Last updated: Apr 2, 2026

Quick Overview

This question evaluates understanding of core machine learning fundamentals—normalization techniques (batch versus layer), probabilistic model calibration, and strategies for handling imbalanced datasets across training, evaluation, and threshold selection.

Snapchat

Jun 28, 2025, 12:00 AM

Machine Learning Engineer

Onsite

Machine Learning

6 solved

Answer the following machine learning fundamentals questions:

Explain the difference between batch normalization and layer normalization. Discuss how each computes statistics, where each is typically used, and their practical trade-offs.
What is model calibration? How would you evaluate whether predicted probabilities are calibrated, and how can calibration be improved?
How would you handle an imbalanced dataset during training, evaluation, and threshold selection?

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