Useful tips for everyday
Can a neural network be trained using backpropagation? Designing and training a network using backprop requires making many seemingly arbitrary choices such as the number…
Does ridge regression use gradient descent? Ridge regression works with an enhanced cost function when compared to the least squares cost function. This cost function…
What is the equation for the random Intercept Model? Just to recap that, like the single level regression model, the overall line for the random…
How do you study data distribution? Using Probability Plots to Identify the Distribution of Your Data. Probability plots might be the best way to determine…
What are classification thresholds? A value above that threshold indicates “spam”; a value below indicates “not spam.” It is tempting to assume that the classification…
What is uncertainty in fit? The uncertainties of the fitted parameters are a measure of how strongly the parameter depends on the data. If the…
Why are prediction intervals wider than confidence intervals? We can now be 95% confident that the bounce height of the next basketball produced with the…
What are the types of irreversible processes? Some examples of irreversible processes are electric current flow through a conductor with a resistance, magnetization or polarization…
What does covariance say about correlation? Correlation refers to the scaled form of covariance. Covariance indicates the direction of the linear relationship between variables. Correlation…
Why use mean squared logarithmic error? This metric measures the ratio between actual values and predicted values and takes the log of the predictions and…