The gradient descent
Example: Gradient descent optimizes models by minimizing error step by step
Definition
"The gradient descent" is an optimization algorithm used in machine learning and data science to minimize a function by iteratively moving towards the steepest descent, or the direction of the negative gradient, thus reducing errors and improving model accuracy.
Etymology
The term "the gradient descent" comes from mathematics, where 'gradient' refers to the vector of partial derivatives indicating the direction of greatest increase of a function, and 'descent' indicates moving downward. Together, they describe the process of moving stepwise down the slope of a function to find its minimum. Did you know? This method is inspired by the natural idea of always stepping downhill to reach the lowest point.
Learn to use this word actively
"The gradient descent" appears in the Vocaplus list "English - Data & AI - (A1-C2) - set 1", containing 110 commonly used words.
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