# Great resource for understanding ML concepts

**URL:** <https://discourse.julialang.org/t/great-resource-for-understanding-ml-concepts/43913>\
**Category:** Offtopic\
**Created:** [July 29, 2020, 7:46pm UTC](https://discourse.julialang.org/t/great-resource-for-understanding-ml-concepts/43913 "2020-07-29T19:46:19Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![mthelm85](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/mthelm85/32/224164_2.png) [@mthelm85](https://discourse.julialang.org/u/mthelm85)\
**Post date:** [July 29, 2020, 7:46pm UTC](https://discourse.julialang.org/t/great-resource-for-understanding-ml-concepts/43913/1 "2020-07-29T19:46:19Z")

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I just stumbled upon this amazing site:

> **[Distill — Latest articles about machine learning](https://distill.pub/)**
>
> Articles about Machine Learning

There are only a couple dozen articles right now but I just read the one on Gaussian Processes and found it to be really amazing.

Hope this helps someone out there 🙂

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**Author:** ![ToucheSir](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/touchesir/32/14411_2.png) [@ToucheSir](https://discourse.julialang.org/u/ToucheSir)\
**Post date:** [July 29, 2020, 7:55pm UTC](https://discourse.julialang.org/t/great-resource-for-understanding-ml-concepts/43913/2 "2020-07-29T19:55:12Z")

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Distill is an absolute gem 🙂. I especially appreciate them trying out new formats beyond the interactive paper presentation (e.g. [A Discussion of 'Adversarial Examples Are Not Bugs, They Are Features'](https://distill.pub/2019/advex-bugs-discussion/))