Tag Archives | second-order

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Higher-Order Derivatives

Higher-order derivatives can capture information about a function that first-order derivatives on their own cannot capture.  First-order derivatives can capture important information, such as the rate of change, but on their own they cannot distinguish between local minima or maxima, where the rate of change is zero for both. Several optimization algorithms address this limitation […]

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Applications of Derivatives

The derivative defines the rate at which one variable changes with respect to another.  It is an important concept that comes in extremely useful in many applications: in everyday life, the derivative can tell you at which speed you are driving, or help you predict fluctuations on the stock market; in machine learning, derivatives are […]

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