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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