Machine Learning, Probability, Deep Learning, Data Science, Mathematics.
both dice, but it doesn’t need to be the case. The joint probability distribution is useful in the cases where we are interested in the probability that x takes a specific value while y takes another specific value. For instance, what would be the probability to get a 1 with the first dice and 2