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  • February 13, 2019Contributing

    How are SVMs used to solve quadratic programming problems?

    How are SVMs used to solve quadratic programming problems? •SVMs maximize the margin (Winston terminology: the ‘street’) around the separating hyperplane. •The decision function is…

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  • February 13, 2019Blog

    What does a Wilcoxon signed-rank test show?

    What does a Wilcoxon signed-rank test show? The Wilcoxon signed-rank test is a non-parametric statistical hypothesis test used either to test the location of a…

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  • February 13, 2019Blog

    Why are repeated measures better than independent groups?

    Why are repeated measures better than independent groups? Faster and less expensive: The time and costs associated with administering repeated measures designs can be much…

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  • February 13, 2019Contributing

    What is ROC in simple terms?

    What is ROC in simple terms? A Receiver Operator Characteristic (ROC) curve is a graphical plot used to show the diagnostic ability of binary classifiers.…

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  • February 13, 2019Blog

    Is online poker completely random?

    Is online poker completely random? Whether you’ve never been exposed to poker or you’re a regular player online, many have asked and wondered about this…

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  • February 13, 2019Popular

    How do you find probability with frequency?

    How do you find probability with frequency? To convert a frequency distribution to a probability distribution, divide area of the bar or interval of x…

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  • February 13, 2019Contributing

    Is regularization a constraint?

    Is regularization a constraint? To summarize, regularization conceptually uses a hard constraint to prevent coefficients from getting too large. For implementation purposes, however, we convert…

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  • February 13, 2019Popular

    How do I interpret the parameter estimates for dummy?

    How do I interpret the parameter estimates for dummy? The parameter estimate for iv1 is the mean of group 1 minus the mean of group…

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  • February 13, 2019Miscellaneous

    Can adding more data reduce overfitting?

    Can adding more data reduce overfitting? 3. Data augmentation (data) A larger dataset would reduce overfitting. If we cannot gather more data and are constrained…

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  • February 13, 2019Miscellaneous

    How do you find the inverse gamma distribution?

    How do you find the inverse gamma distribution? The distribution is closely related to the chi square distribution: the PDF of the inverse gamma distribution…

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