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  • February 4, 2019Blog

    Does line of best fit have to start at 0?

    Does line of best fit have to start at 0? The line of best fit does not have to go through the origin. The line…

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  • February 4, 2019Blog

    Are neural networks Parametric?

    Are neural networks Parametric? That’s why, regular neural networks are parametric models. Deep learning models including convolutional neural networks and LSTM are parametric models as…

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  • February 4, 2019Popular

    What is a critical z value and how is it related to the confidence level?

    What is a critical z value and how is it related to the confidence level? The z*-value, which appears in the margin of error formula,…

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  • February 4, 2019Popular

    Is it possible to recover column names in PCA?

    Is it possible to recover column names in PCA? As such, while it’s interesting to find out how much each column in original data contributed…

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  • February 4, 2019Contributing

    How can you tell a distribution is skewed?

    How can you tell a distribution is skewed? A distribution is skewed if one of its tails is longer than the other. The first distribution…

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  • February 4, 2019Miscellaneous

    How is probability used in gambling?

    How is probability used in gambling? In most gambling games it is customary to express the idea of probability in terms of odds against winning.…

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  • February 4, 2019Popular

    Does Lasso reduce test MSE?

    Does Lasso reduce test MSE? The LASSO is based on minimizing Mean Squared Error, which is based on balancing the opposing factors of bias and…

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  • February 4, 2019Helpful tips

    What is marginal and conditional r squared?

    What is marginal and conditional r squared? Marginal and conditional are R2 values for generalized mixed-effects models calculated using the r. Marginal R2 provides the…

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  • February 4, 2019Helpful tips

    How do you find the ex in a probability distribution?

    How do you find the ex in a probability distribution? To find the expected value, E(X), or mean μ of a discrete random variable X,…

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  • February 4, 2019Popular

    Which is an example of a nested random effect?

    Which is an example of a nested random effect? Nested random effects are when each member of one group is contained entirely within a single…

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