<ul><li>Derivatives in data science measure how fast the loss changes in a model's predictions.</li><li>Multivariate calculus helps calculate partial derivatives for adjusting multiple parameters simultaneously.</li><li>Optimization in data science involves moving against the gradient to minimize loss, aided by algorithms like gradient descent.</li><li>Understanding derivatives is crucial for guiding machine learning models to improve gradually and make better predictions.</li></ul>

Calculus in Data Science: How Derivatives Power Optimization Algorithms

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