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  • November 11, 2020Blog

    How can I fix the problem of multicollinearity?

    How can I fix the problem of multicollinearity? How to fix Multicollinearity? Once you have decided that multicollinearity is a problem for you and you…

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  • November 11, 2020Guidelines

    Does clustering analysis need training data?

    Does clustering analysis need training data? As your question is on clustering: In cluster analysis, there usually is no training or test data split. Because…

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  • November 11, 2020Miscellaneous

    Does neural network work with missing values?

    Does neural network work with missing values? For the neural network approach, instead of training a separate network to compute each missing value individually, all…

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  • November 11, 2020Contributing

    What does it mean if log-likelihood is negative?

    What does it mean if log-likelihood is negative? The likelihood is the product of the density evaluated at the observations. Usually, the density takes values…

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  • November 11, 2020Blog

    Can correlated variables have zero correlation coefficient?

    Can correlated variables have zero correlation coefficient? Correlation and the Financial Markets If the correlation coefficient of two variables is zero, there is no linear…

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  • November 11, 2020Miscellaneous

    How can you tell if two samples are the same?

    How can you tell if two samples are the same? The two-sample t-test (Snedecor and Cochran, 1989) is used to determine if two population means…

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  • November 11, 2020Blog

    How can I improve my pattern recognition?

    How can I improve my pattern recognition? There are two really easy ways to develop pattern recognition skills: Be born with them. Put in your…

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  • November 11, 2020Blog

    How do you deal with pseudo replication?

    How do you deal with pseudo replication? The two main ways of dealing with pseudoreplication are: (1) average the pseudoreplicates to obtain one value per…

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  • November 11, 2020Contributing

    What is use of recommendation system?

    What is use of recommendation system? Recommender system has the ability to predict whether a particular user would prefer an item or not based on…

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  • November 11, 2020Contributing

    What is embedded Markov chain?

    What is embedded Markov chain? Embedded-Markov-chain technique. Kendall (1951) uses the concept of regeneration point (due to Palm (1943)) by suitable choice of regeneration points…

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