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Applied Unsupervised Learning with R by Bradford Tuckfield, Alok Malik

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Chapter 3

Probability Distributions

Learning Objectives

By the end of this chapter, you will be able to:

  • Generate different distributions in R
  • Estimate probability distribution functions for new datasets in R
  • Compare the closeness of two different samples of the same distribution or different distributions

In this chapter, we will learn how to use probability distributions as a form of unsupervised learning.

Introduction

In this chapter, we're going to study another aspect of unsupervised learning, called probability distributions. Probability distributions are part of classical statistics covered in many mathematical textbooks and courses. With the advent of big data, we've started using probability distributions in exploratory data ...

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