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  • December 14, 2020Miscellaneous

    Is the Wald test Parametric?

    Is the Wald test Parametric? This variant of the test is sometimes called the Wald Chi-Squared Test to differentiate it from the Wald Log-Linear Chi-Square…

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  • December 14, 2020Helpful tips

    Does LDA need labels?

    Does LDA need labels? Your understanding is correct: you need to label each input document before training. Labelled LDA is a supervised method, meaning that…

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  • December 14, 2020Blog

    How is the shape of the ellipse related to the ratio of the eigenvalues of the Hessian?

    How is the shape of the ellipse related to the ratio of the eigenvalues of the Hessian? the ratio of semiaxes of the ellipses is…

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  • December 14, 2020Popular

    Does reinforcement learning use Labelled data?

    Does reinforcement learning use Labelled data? Reinforcement learning describes the set of learning problems where an agent must take actions in an environment in order…

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  • December 14, 2020Helpful tips

    What does average precision tell you?

    What does average precision tell you? Average precision is a measure that combines recall and precision for ranked retrieval results. For one information need, the…

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  • December 14, 2020Miscellaneous

    What is a reflective measurement model?

    What is a reflective measurement model? Conceptually, a reflective measurement model happens when the indicators of a construct are considered to be caused by that…

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  • December 14, 2020Contributing

    What is collaborative based recommendation system?

    What is collaborative based recommendation system? A recommender system or recommendation system is a subclass of information filtering systems that predict the items the user…

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  • December 14, 2020Miscellaneous

    Should error bars be big or small?

    Should error bars be big or small? The length of an Error Bar helps reveal the uncertainty of a data point: a short Error Bar…

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  • December 14, 2020Popular

    What are backpropagation networks?

    What are backpropagation networks? Backpropagation in neural network is a short form for “backward propagation of errors.” It is a standard method of training artificial…

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  • December 14, 2020Contributing

    What is continuity correction in chi-square?

    What is continuity correction in chi-square? In statistics, Yates’ correction for continuity (or Yates’ chi-square test) is used in certain situations when testing for independence…

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