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Artificial Intelligence with Python - Second Edition
book

Artificial Intelligence with Python - Second Edition

by Alberto Artasanchez, Prateek Joshi
January 2020
Beginner to intermediate content levelBeginner to intermediate
618 pages
13h 57m
English
Packt Publishing
Content preview from Artificial Intelligence with Python - Second Edition

7

Detecting Patterns with Unsupervised Learning

In this chapter, we are going to learn about unsupervised learning and how to use it in real-world situations. By the end of this chapter, you will have a better understanding of the following topics:

  • Unsupervised learning definition
  • Clustering data with the K-Means algorithm
  • Estimating the number of clusters with the Mean Shift algorithm
  • Estimating the quality of clustering with silhouette scores
  • Gaussian Mixture Models
  • Building a classifier based on Gaussian Mixture Models
  • Finding subgroups in stock markets the using Affinity Propagation model
  • Segmenting the market based on shopping patterns

What is unsupervised learning?

Unsupervised learning refers to the process of building machine learning ...

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Publisher Resources

ISBN: 9781839219535Supplemental Content