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  • December 13, 2020Guidelines

    What is the difference between stateless and stateful LSTM?

    What is the difference between stateless and stateful LSTM? In stateless cases, LSTM updates parameters on batch1 and then, initiate hidden states and cell states…

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  • December 13, 2020Miscellaneous

    Is Prophet a linear model?

    Is Prophet a linear model? Forecasting Growth By default, Prophet uses a linear model for its forecast. When forecasting growth, there is usually some maximum…

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  • December 13, 2020Contributing

    How do you visualize the relationship between two categorical variables?

    How do you visualize the relationship between two categorical variables? To study the relationship between two variables, a comparative bar graph will show associations between…

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  • December 13, 2020Helpful tips

    Can I use facial recognition to find someone?

    Can I use facial recognition to find someone? A face isn’t quite as unique and ageless as a fingerprint, but it’s easily captured and searched.…

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  • December 13, 2020Helpful tips

    Which is better random forest or neural network?

    Which is better random forest or neural network? Random Forest is a better choice than neural networks because of a few main reasons. Neural networks…

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  • December 13, 2020Contributing

    What is Arima time series forecasting?

    What is Arima time series forecasting? A popular and widely used statistical method for time series forecasting is the ARIMA model. ARIMA is an acronym…

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  • December 13, 2020Blog

    What does RMSprop stand for?

    What does RMSprop stand for? Root Mean Square Propagation RMSprop stands for Root Mean Square Propagation. It is an unpublished, yet very widely-known gradient descent…

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  • December 13, 2020Popular

    Is white noise normally distributed?

    Is white noise normally distributed? Statistical properties Noise having a continuous distribution, such as a normal distribution, can of course be white. White noise is…

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  • December 13, 2020Guidelines

    What is the proper way to split training and test set?

    What is the proper way to split training and test set? The train-test split procedure is appropriate when you have a very large dataset, a…

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  • December 13, 2020Blog

    Is decision tree classifier linear?

    Is decision tree classifier linear? Decision trees is a non-linear classifier like the neural networks, etc. It is generally used for classifying non-linearly separable data.…

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