Mixture Models in R Data Camp

Overview

Context

Mixture modeling is a way of representing populations when we are interested in their heterogeneity.

Unlike standard clustering approaches, we can estimate the probability of belonging to a cluster and make inference about the sub-populations. For example, in the context of marketing, you may want to cluster different customer groups and find their respective probabilities of purchasing specific products to better target them with custom promotions. 

When applying natural language processing to a large set of documents, you may want to cluster documents into different topics and understand how important each topic is across each document. 

In this Mixture Models in R course offered by Data Camp, you will learn what Mixture Models are, how they are estimated, and when it is appropriate to apply them!