In this chapter, we are going to cover kernel density estimation. Since kernel density estimation is a rather involved operation, we're going to split this up over several sections so hopefully it's easier to digest.

In this chapter, we are going to cover the following topics:

• Introducing the central limit theorem
• Introducing normal distribution
• Introducing the kernel density estimator
• Applying the kernel density estimator to a dataset