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May 28, 2026 · 1 min read

Can you explain the concept of gradient descent and how it is used in training machine learning models?

Gradient descent is an optimization algorithm used to minimize the loss function in machine learning models. It works by iteratively adjusting model parameters in the opposite direction of the gradient…

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📅 May 28, 2026 ⏱ 1 min read

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Can you explain the concept of gradient descent and how it is used in training machine learning models?

COVER // CAN YOU EXPLAIN THE CONCEPT OF GRADIENT DESCENT AND HOW IT IS USED IN TRAINING MACHINE LEARNING MODELS?

Gradient descent is an optimization algorithm used to minimize the loss function in machine learning models. It works by iteratively adjusting model parameters in the opposite direction of the gradient of the loss function with respect to those parameters, effectively finding the lowest point on the loss landscape.

algorithms gradient-descent machine learning optimization

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