Mastering Probabilistic Graphical Models Using Python

Conditional probability distribution

Let's take an example to understand conditional probability better. Let's say we have a bag containing three apples and five oranges, and we want to randomly take out fruits from the bag one at a time without replacing them. Also, the random variables and represent the outcomes in the first try and second try respectively. So, as there are three apples and five oranges in the bag initially, and . Now, let's say ...