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  • January 28, 2019Blog

    What is the definition of data transformation in statistics?

    What is the definition of data transformation in statistics? In statistics, data transformation is the application of a deterministic mathematical function to each point in…

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  • January 28, 2019Helpful tips

    What are dynamic graphs?

    What are dynamic graphs? A dynamic graph can be represented as an ordered list or an asynchronous stream of timed events, such as additions or…

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  • January 28, 2019Miscellaneous

    What are the requirements for the chi-square test for independence all expected counts are greater than 5?

    What are the requirements for the chi-square test for independence all expected counts are greater than 5? All expected counts should be 10 or greater.…

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  • January 28, 2019Helpful tips

    How to implement the RBF kernel PCA step by step?

    How to implement the RBF kernel PCA step by step? In order to implement the RBF kernel PCA we just need to consider the following…

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  • January 28, 2019Guidelines

    How to do a two sample t test?

    How to do a two sample t test? There are 4 steps to conducting a two-sample t-test: 1. Calculate the t-statistic As could be seen…

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  • January 28, 2019Contributing

    How is a trimmed mean different from a mean or median?

    How is a trimmed mean different from a mean or median? Trimmed means are robust estimators of central tendency. To compute a trimmed mean, we…

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  • January 28, 2019Helpful tips

    How do you find the probability of a continuous variable?

    How do you find the probability of a continuous variable? The probability distribution of a continuous random variable X is an assignment of probabilities to…

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  • January 28, 2019Guidelines

    How do you stop distortion in logic?

    How do you stop distortion in logic? On tracks you’ve already recorded, you can correct clipping by adding compression or limiter plugins. Adjust the gain…

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  • January 28, 2019Guidelines

    How do you perform coordinate descent?

    How do you perform coordinate descent? Coordinate descent is an optimization algorithm that successively minimizes along coordinate directions to find the minimum of a function….Until…

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  • January 28, 2019Contributing

    What is gradient boosting in machine learning?

    What is gradient boosting in machine learning? Gradient boosting is a machine learning technique for regression, classification and other tasks, which produces a prediction model…

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