Implement Linear Regression Gradient Descent

Quick Overview

This question evaluates understanding of simple linear regression, batch gradient descent, loss function formulation, gradient derivation for model parameters, and training diagnostics such as learning rate, initialization, stopping criteria, feature scaling, and convergence evaluation.

Implement Linear Regression Gradient Descent

Company: Databricks

Role: Machine Learning Engineer

Category: Machine Learning

Difficulty: medium

Interview Round: Onsite

Overview: This question evaluates understanding of simple linear regression, batch gradient descent, loss function formulation, gradient derivation for model parameters, and training diagnostics such as learning rate, initialization, stopping criteria, feature scaling, and convergence evaluation.

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Jan 6, 2026
mediumMachine Learning EngineerOnsiteMachine Learning
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