# Lecture 5 - Density Estimation and GMM | CS 189 - Introduction to Machine Learning

https://eecs189.org/fa26/lecture/lec05

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#  [](https://eecs189.org/fa26/lecture/lec05/#lecture-5---density-estimation-and-gmm) Lecture 5 - Density Estimation and GMM 
Presented by Joseph E. Gonzalez
  * Slides ([PDF](https://drive.google.com/file/d/16e9wq1bEHbj0XuBmsbcF1UE4dYxFHTSq/view?usp=drive_link), [pptx](https://docs.google.com/presentation/d/1PBCYkzBfqiJDGW3zVTjFTQdvjLDparyd/edit?usp=drive_link&ouid=103464667152051985983&rtpof=true&sd=true))
  * [Recording](https://www.askademia.org/compsci189/fa26/compsci189-fa26-1789085036)
  * Code ([HTML](https://eecs189.org/fa26/resources/assets/lectures/lec05/lec05.html), [Colab](https://colab.research.google.com/github/BerkeleyML/fa26-student/blob/main/lecture/lec05/lec05.ipynb), [GitHub](https://github.com/BerkeleyML/fa26-student/blob/main/lecture/lec05/lec05.ipynb))
  * Chapter 2.[1-2], 2.3.[1-3] ([Chapter 2 PDF](https://link-springer-com.libproxy.berkeley.edu/content/pdf/10.1007/978-3-031-45468-4_2), [Web Reader](https://issuu.com/cmb321/docs/deep_learning_ebook/62)); Chapter 3.1, 3.2.1 ([Chapter 3 PDF](https://link-springer-com.libproxy.berkeley.edu/content/pdf/10.1007/978-3-031-45468-4_3), [Web Reader](https://issuu.com/cmb321/docs/deep_learning_ebook/104)); Chapter 15.1, 15.2 ([Chapter 15 PDF](https://link-springer-com.libproxy.berkeley.edu/content/pdf/10.1007/978-3-031-45468-4_15), [Web Reader](https://issuu.com/cmb321/docs/deep_learning_ebook/478)) of [Deep Learning Foundations and Concepts](https://www.bishopbook.com)


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