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Everything You Need to Know about Gradient Descent

Part 1 — explain the algorithm in detail

Zijing Zhu, PhD
Towards Data Science
6 min readMar 8, 2021

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Gradient Descent is an algorithm that solves optimization problems using first-order iterations. Since it is designed to find the local minimum of a differential function, gradient descent is widely used in machine learning models to find the best parameters that minimize the model’s cost function. This article…

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