Implement Gradient Descent Regression

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Quick Overview

This question evaluates understanding of linear regression and gradient-based optimization, including loss formulation, gradient derivation, parameter updates, hyperparameter tuning, and debugging of convergence issues.

Implement Gradient Descent Regression

Company: Databricks

Role: Machine Learning Engineer

Category: Machine Learning

Difficulty: medium

Interview Round: Onsite

Overview: This question evaluates understanding of linear regression and gradient-based optimization, including loss formulation, gradient derivation, parameter updates, hyperparameter tuning, and debugging of convergence issues.

Read the full Databricks Machine Learning Engineer interview experience this question came from

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Databricks
Feb 7, 2026
mediumMachine Learning EngineerOnsiteMachine Learning
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