Hello, professor Serrano.
Maybe I didn’t get something, but why do we generate a dataset from a uniform distribution and using an inverse function of the desired distribution (e.g. Gaussian)? For example, why don’t we simply generate random numbers using a built-in python random function?
I’m wondering if it has an educational purpose. Maybe that’s the way those python packages operate under the hood.
Thanks in advance!