---
title: "Discussion on \"Gaussian Mixture Models: The EM Algorithm in Practice\" | Hashnode"
description: "Discussion on \"Gaussian Mixture Models: The EM Algorithm in Practice\". Implement Gaussian Mixture Models from scratch using the EM algorithm. Cluster Old Faithful geyser eruptions and understand responsibilities, convergence, and model selection."
url: "https://hashnode.com/posts/gaussian-mixture-models-the-em-algorithm-in-practice/69c7a3297cf2706510f1f7a7"
---

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# [Gaussian Mixture Models: The EM Algorithm in Practice](https://sesenai.hashnode.dev/gaussian-mixture-models-the-em-algorithm-in-practice?utm_source=hashnode&utm_medium=feed)

Implement Gaussian Mixture Models from scratch using the EM algorithm. Cluster Old Faithful geyser eruptions and understand responsibilities, convergence, and model selection.

Mar 28 · 13 min read · sesenai.hashnode.dev  
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-   [#unsupervised-learning](https://hashnode.com/tag/unsupervised-learning)
-   [#generative](https://hashnode.com/tag/generative)
-   [#optimisation](https://hashnode.com/tag/optimisation)
-   [#inference](https://hashnode.com/tag/inference)
-   [#probabilistic](https://hashnode.com/tag/probabilistic)

## Written by

[Berkan Sesen](https://hashnode.com/@berkansesen)

@berkansesen · London, UK

  
[View profile](https://hashnode.com/@berkansesen)

I think about AI. A lot.

I think about AI. A lot.

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