# Lecture 4 - Probability and Density Estimation | CS 189 - Introduction to Machine Learning

https://eecs189.org/fa26/lecture/lec04

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#  [](https://eecs189.org/fa26/lecture/lec04/#lecture-4---probability-and-density-estimation) Lecture 4 - Probability and Density Estimation 
Presented by Joseph E. Gonzalez
  * Slides ([PDF](https://drive.google.com/file/d/1CS3tDF0fD-6IfD18IafKfNYzpvV4jZaI/view?usp=drive_link), [pptx](https://docs.google.com/presentation/d/1nNRHnL_7eVmEB2KLnyRbmRYhR2MVFAzN/edit?usp=drive_link&ouid=103464667152051985983&rtpof=true&sd=true))
  * [Recording](https://www.askademia.org/compsci189/fa26/compsci189-fa26-1788912297)
  * Code ([HTML](https://eecs189.org/fa26/resources/assets/lectures/lec04/lec04.html), [Colab](https://colab.research.google.com/github/BerkeleyML/fa26-student/blob/main/lecture/lec04/lec04.ipynb), [GitHub](https://github.com/BerkeleyML/fa26-student/blob/main/lecture/lec04/lec04.ipynb))
  * Chapter 2.1, 2.2, 2.3 ([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)) of [Deep Learning Foundations and Concepts](https://www.bishopbook.com)


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