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  • October 19, 2020Guidelines

    Why Multicollinearity is a problem?

    Why Multicollinearity is a problem? Why is Multicollinearity a problem? Multicollinearity generates high variance of the estimated coefficients and hence, the coefficient estimates corresponding to…

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  • October 19, 2020Blog

    What is Alpha LeakyReLU?

    What is Alpha LeakyReLU? LeakyReLU(alpha=0.3, **kwargs) Leaky version of a Rectified Linear Unit. It allows a small gradient when the unit is not active: f(x)…

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  • October 19, 2020Guidelines

    Why Gumbel Softmax instead of Softmax?

    Why Gumbel Softmax instead of Softmax? The advantage of Gumbel Softmax [3] is it samples one-hot according to the current learned distribution of \pi, it…

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  • October 19, 2020Contributing

    How to retrain existing and trained neural network without destroying trained content?

    How to retrain existing and trained neural network without destroying trained content? Matlab train () function used for training the neural network initializes all weights…

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  • October 19, 2020Blog

    What is EPV in logistic regression?

    What is EPV in logistic regression? For logistic regression analysis, sample size is typically expressed in terms of events per variable (EPV), defined by the…

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  • October 19, 2020Helpful tips

    What is gain in LightGBM?

    What is gain in LightGBM? ‘gain’ – the average gain of the feature when it is used in trees (default) ‘split’ – the number of…

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  • October 19, 2020Miscellaneous

    What is a threshold in data science?

    What is a threshold in data science? The threshold represents the value above which we consider a data point in the positive class. If we…

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  • October 19, 2020Guidelines

    How does backpropagation in a convolutional layer work?

    How does backpropagation in a convolutional layer work? This sub-region activated by the filter is sliding all across the input array x. if x and…

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  • October 19, 2020Contributing

    How do you test the accuracy of a model?

    How do you test the accuracy of a model? The three main metrics used to evaluate a classification model are accuracy, precision, and recall. Accuracy…

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  • October 19, 2020Blog

    What is sequence in RNN?

    What is sequence in RNN? Sequence models are the machine learning models that input or output sequences of data. Sequential data includes text streams, audio…

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