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About Unsupervised Machine Learning in Python
This document provides an overview of unsupervised machine learning techniques covered in a book on the topic, including clustering algorithms like K-means and hierarchical clustering, Gaussian mixture models, and principal component analysis. The introduction discusses how unsupervised learning can be used for tasks like density estimation, discovering latent variables, dimensionality reduction, and visualization. Chapter 1 then gives specific examples of how unsupervised learning is applied, such as for latent variable analysis, topic modeling, and dimensionality reduction.
Detailed Information
| Author: | ['Soumya Saha'] |
|---|---|
| Publication Year: | 2023 |
| Pages: | 89 |
| Language: | English |
| Format: | |
| Price: | FREE |
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