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 ...

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