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2 changes: 1 addition & 1 deletion lectures/Density Estimation.jl
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Expand Up @@ -66,7 +66,7 @@ md"""

* These lecture notes
* Optional

* The [Formula Cheatsheet for this course](https://github.com/bmlip/course/blob/main/assets/files/5SSD0_formula_sheet.pdf) contains lots of material on the Gaussian distribution. (This cheatsheet will be made available to you at the written exam.)
* [Bishop PRML book on Gaussian Distributions](https://www.microsoft.com/en-us/research/wp-content/uploads/2006/01/Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf) (2006), pp. 85-93
* [Bishop PRML book on Bernoulli and Categorial Distributions](https://www.microsoft.com/en-us/research/wp-content/uploads/2006/01/Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf) (2006), pp. 67-70, 74-76, 93-94

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