Machine Learning, Statistics, Monte Carlo, Deep Learning.
points you want to study. Let’s first take a step back and thoroughly understand why we actually need to approximate some unknown underlying true distribution. Keep in mind that we move in the realm of neural networks which usually have thousand or millions of parameters to tune during the learning