Finding the Mode of an Empirical Continuous Distribution
Ben Cook • Posted 2021-03-02 • Last updated 2021-10-21You can find the mode of an empirical continuous distribution by plotting the histogram and looking for the maximum bin.
You can find the mode of an empirical continuous distribution by plotting the histogram and looking for the maximum bin.
A simple NumPy implementation of the binary cross entropy loss function and some intuition about why it works.
The histplot() function in Seaborn is a great API for plotting histograms to visualize the distribution of your Pandas columns.
If you have a random sample drawn from a continuous uniform(a, b) distribution stored in an array x, the maximum likelihood estimate (MLE) of a is…