Contrast Lasso vs Ridge trade‑offs

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Quick Overview

This question evaluates a Data Scientist's understanding of regularization methods (L1/Lasso, L2/Ridge, Elastic Net), their bias–variance trade-offs, variable selection behavior under multicollinearity, and the implications for inference on a treatment indicator in linear models.

Contrast Lasso vs Ridge trade‑offs

Company: Instacart

Role: Data Scientist

Category: Machine Learning

Difficulty: hard

Interview Round: Onsite

Overview: This question evaluates a Data Scientist's understanding of regularization methods (L1/Lasso, L2/Ridge, Elastic Net), their bias–variance trade-offs, variable selection behavior under multicollinearity, and the implications for inference on a treatment indicator in linear models.

Read the full Instacart Data Scientist interview experience this question came from

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Oct 13, 2025
hardData ScientistOnsiteMachine Learning
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