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Gradients and Why Optimization Depends on Them
Gradients are one of the most important ideas in data science and machine learning. They help models understand how to improve step by step. A gradient shows the direction and rate of change of a function. In simple terms, it tells a model which way to move to reduce errors. Without gradients, optimization would be blind and inefficient. Every modern learning algorithm relies on this concept to...
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