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What is Gradient Descent in machine learning?

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What is Gradient Descent in machine learning?

The process of repeatedly nudging an input of a function by some multiple of the negative gradient is called gradient descent. It’s a way to converge towards some local minimum of a cost function basically valley in a graph. According to Wikipedia, Gradient descent is a first-order iterative optimization algorithm for finding the minimum of a ...

Gradient Descent Explained

Lecture 22: Gradient Descent: Downhill to a Minimum | Matrix Methods in Data Analysis, Signal Processing, and Machine Learning | Mathematics | MIT OpenCourseWare

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