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  2. Loss function - Wikipedia

    en.wikipedia.org/wiki/Loss_function

    In many applications, objective functions, including loss functions as a particular case, are determined by the problem formulation. In other situations, the decision maker’s preference must be elicited and represented by a scalar-valued function (called also utility function) in a form suitable for optimization — the problem that Ragnar Frisch has highlighted in his Nobel Prize lecture. [4]

  3. Business mathematics - Wikipedia

    en.wikipedia.org/wiki/Business_mathematics

    Business mathematics comprises mathematics credits taken at an undergraduate level by business students.The course [3] is often organized around the various business sub-disciplines, including the above applications, and usually includes a separate module on interest calculations; the mathematics itself comprises mainly algebraic techniques. [1]

  4. Regularization (mathematics) - Wikipedia

    en.wikipedia.org/wiki/Regularization_(mathematics)

    This includes, for example, early stopping, using a robust loss function, and discarding outliers. Implicit regularization is essentially ubiquitous in modern machine learning approaches, including stochastic gradient descent for training deep neural networks, and ensemble methods (such as random forests and gradient boosted trees).

  5. Without loss of generality - Wikipedia

    en.wikipedia.org/wiki/Without_loss_of_generality

    In many scenarios, the use of "without loss of generality" is made possible by the presence of symmetry. [2] For example, if some property P(x,y) of real numbers is known to be symmetric in x and y, namely that P(x,y) is equivalent to P(y,x), then in proving that P(x,y) holds for every x and y, one may assume "without loss of generality" that x ...

  6. List of mathematical abbreviations - Wikipedia

    en.wikipedia.org/wiki/List_of_mathematical...

    def – define or definition. deg – degree of a polynomial, or other recursively-defined objects such as well-formed formulas. (Also written as ∂.) del – del, a differential operator. (Also written as.) det – determinant of a matrix or linear transformation. DFT – discrete Fourier transform.

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  8. Annualized loss expectancy - Wikipedia

    en.wikipedia.org/wiki/Annualized_loss_expectancy

    The single loss expectancy (SLE) then, is 25% * $100,000, or $25,000. The annualized loss expectancy is the product of the annual rate of occurrence (ARO) and the single loss expectancy. ALE = ARO * SLE For an annual rate of occurrence of 1, the annualized loss expectancy is 1 * $25,000, or $25,000. For an ARO of 3, the equation is: ALE = 3 ...

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