So many Types of Probability distributions

Today in my Nanodegree course, I got to be aware of some of the different types of probability distributions
The common ones are

• the continuous probability distribution(CPD) and
• the discrete probability distribution (DPD)

CPD in terms of Normal Distribution( Gaussian distribution)
DPD in terms of Binomial Distribution

I guess for CPD, the random variable ( variable in question) can be any range of number while fo the DPD, the random variable are discrete( integers) only

Some questions that popped up to my minds are

1. What are the other PDs?
2. How are the Bernoulli and multinominal different?
3. And when do you use each in naive Bayes

I also have to know how to build the gaussian distribution and any other distribution from scratch.