Chapter 5: Common Probability Distributions
In the previous chapter, we discussed the concepts of population and sampling. In most cases, it is not likely that you will find a dataset that perfectly obeys a well-defined distribution. However, common probability distributions are the backbone of data science and serve as the first approximation of real-world distributions.
The following topics will be covered in this chapter:
- Understanding important concepts in probability
- Understanding common discrete probability distributions
- Understanding common continuous probability distributions
- Learning about joint and conditional distribution
- Understanding the power law and black swan
Recall the famous saying, there is nothing more practical than good theory. The theory of probability is beyond greatness. Let's get started!
