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  • November 10, 2020Guidelines

    How do neural networks avoid local minima?

    How do neural networks avoid local minima? However, weight adjusting with a gradient descent may result in the local minimum problem. Repeated training with random…

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  • November 10, 2020Blog

    How do I remove outliers in R studio?

    How do I remove outliers in R studio? The one method that I prefer uses the boxplot() function to identify the outliers and the which()…

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  • November 10, 2020Contributing

    When should we adjust standard errors for clustering?

    When should we adjust standard errors for clustering? 1 Referee 1 tells you “the wage residual is likely to be correlated within local labor markets,…

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  • November 10, 2020Popular

    What is asymptotic in order of growth?

    What is asymptotic in order of growth? The asymptotic behavior of a function f(n) (such as f(n)=c*n or f(n)=c*n2, etc.) refers to the growth of…

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  • November 10, 2020Helpful tips

    What does it mean when the intercept is not significant in regression?

    What does it mean when the intercept is not significant in regression? zero We know that non-significant intercept can be interpreted as result for which…

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  • November 10, 2020Miscellaneous

    Does Elasticsearch use TF-IDF?

    Does Elasticsearch use TF-IDF? Elasticsearch runs Lucene under the hood so by default it uses Lucene’s Practical Scoring Function. This is a similarity model based…

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  • November 10, 2020Blog

    How do you estimate population size sample?

    How do you estimate population size sample? This method of estimation is called the Lincoln Index. P = (N1 x N2)/ R. P = total…

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  • November 10, 2020Guidelines

    What does the vertical axis in a scatter plot represent?

    What does the vertical axis in a scatter plot represent? Answer: The vertical axis represents the measured or dependent variable in a scatter plot. Scatter…

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  • November 10, 2020Helpful tips

    How is repeated k-fold cross validation used in model evaluation?

    How is repeated k-fold cross validation used in model evaluation? This approach is generally referred to as repeated k-fold cross-validation. … repeated k-fold cross-validation replicates…

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  • November 10, 2020Popular

    What is multivariate GLM?

    What is multivariate GLM? The GLM Multivariate procedure provides regression analysis and analysis of variance for multiple dependent variables by one or more factor variables…

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