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  • November 13, 2020Blog

    What is the loss function in Word2Vec?

    What is the loss function in Word2Vec? The loss function (???) is the quantity we want to minimize, given our training example, i.e., we want…

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  • November 13, 2020Blog

    Is cluster sampling random or non random?

    Is cluster sampling random or non random? Cluster sampling divides the population into groups, then takes a random sample from each cluster. Both systematic sampling…

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  • November 13, 2020Contributing

    What is the cooking ratio for a turkey?

    What is the cooking ratio for a turkey? 10. Calculate Turkey Cooking Time and Temperature. The simplest way to figure out turkey roasting times is…

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  • November 13, 2020Miscellaneous

    What is autocorrelation and correlation?

    What is autocorrelation and correlation? Autocorrelation represents the degree of similarity between a given time series and a lagged version of itself over successive time…

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  • November 13, 2020Miscellaneous

    Which is the most common type of statistical test?

    Which is the most common type of statistical test? They can only be conducted with data that adheres to the common assumptions of statistical tests.…

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  • November 13, 2020Popular

    Is the cross validation performed in cv.glmnet?

    Is the cross validation performed in cv.glmnet? Is the cross-validation performed in cv.glmnet simply to pick the best lambda, or is it also serving as…

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  • November 13, 2020Blog

    How do you find the error of omission?

    How do you find the error of omission? Error of Omission How to find it: Errors of omission are hard to discover. One way to…

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  • November 13, 2020Popular

    What is difference between hyperparameter and parameter?

    What is difference between hyperparameter and parameter? Basically, parameters are the ones that the “model” uses to make predictions etc. For example, the weight coefficients…

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  • November 13, 2020Contributing

    Why are training, validation, and holdout sets important?

    Why are training, validation, and holdout sets important? Why are Training, Validation, and Holdout Sets Important? Partitioning data into training, validation, and holdout sets allows…

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  • November 13, 2020Popular

    What is uniform distribution method?

    What is uniform distribution method? In statistics, uniform distribution refers to a type of probability distribution in which all outcomes are equally likely. A deck…

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