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What is gradient descent, and how does it work?
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Answer / Kumar Saurabh Pratap
Gradient Descent is an optimization algorithm used in machine learning to find the optimal parameters for a model by iteratively adjusting them based on the gradient (slope) of the cost function. It works by moving downhill along the negative gradient direction, which aims to minimize the cost function and improve the model's performance.
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