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Implement Linear Regression Gradient Descent

Last updated: Apr 16, 2026

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.

  • medium
  • Databricks
  • Machine Learning
  • Machine Learning Engineer

Implement Linear Regression Gradient Descent

Company: Databricks

Role: Machine Learning Engineer

Category: Machine Learning

Difficulty: medium

Interview Round: Onsite

Quick Answer: 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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|Home/Machine Learning/Databricks

Implement Linear Regression Gradient Descent

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Databricks
Jan 6, 2026, 12:00 AM
mediumMachine Learning EngineerOnsiteMachine Learning
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