> For the complete documentation index, see [llms.txt](https://irosyadi.gitbook.io/irosyadi/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://irosyadi.gitbook.io/irosyadi/machine-learning/ml-newsblog.md).

# Machine Learning News and Blog

## Machine Learning News Update

* [TechontheEdge - the latest Artificial Intelligence and Computing news](https://www.techontheedge.com/)
* [Arxiv Sanity Preserver](http://www.arxiv-sanity.com/)
* [arxivist](https://arxivist.com/)
* [Findka Essays](https://essays.findka.com/)
* [Papers We Love](https://paperswelove.org/)
* [papers-we-love/papers-we-love: Papers from the computer science community to read and discuss.](https://github.com/papers-we-love/papers-we-love)
* [This week in interesting, remote-friendly tech talks](https://datastation.multiprocess.io/blog/2021-07-12-this-week-in-interesting-tech-talks.html)
* [Annotated Paper Implementations](https://papers.labml.ai/lists/annotated_implementations)
* [/r/mlscaling](https://teddit.net/r/mlscaling)
* [/r/MachineLearning](https://teddit.net/r/MachineLearning)
* [/r/LearnMachineLearning](https://teddit.net/r/LearnMachineLearning)
* [/r/MLQuestions](https://teddit.net/r/MLQuestions)
* [/r/computervision](https://teddit.net/r/computervision)
* [/r/DataScience](https://teddit.net/r/DataScience)
* [/r/artificial](https://teddit.net/r/artificial)
* [/r/ControlProblem](https://teddit.net/r/ControlProblem)
* [/r/datasets](https://teddit.net/r/datasets)
* [Top arXiv papers](https://scirate.com/)

## Articles about Machine Learning

* [Review about ML](https://link.springer.com/article/10.1007/s10462-018-09679-z)


---

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