A computational technique in mathematics and machine learning where a program automatically calculates the derivatives (rates of change) of complex functions.
Combines auto- (self, automatic) + differentiation (the mathematical process of finding derivatives). Emerged as a formal computing concept in the 1960s-70s, essential for modern machine learning.
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