Interesting Data Engineering Papers

[charlysl]

https://github.com/jarikoi/interesting-papers

[thinkersilver]

It would be nice if there was a readme for this repository. Like these AI and speaker recognition examples [1],[2].

[1] https://github.com/wq2012/awesome-diarization

[2] https://github.com/terryum/awesome-deep-learning-papers

[mgradowski]

As someone who goes to college to study data engineering this year, I'd say it's a quite impressive collection but I have no idea where to start (readme.md is empty). I hope it will be a useful resource in the future.

[charlysl → mgradowski]

OP here; check this out for some context about the papers and to help you prioritize what to read first (look under Readings, the links are to the papers): http://kevincrook.com/ucb/ucb_w205_2017_fall.html

You may also want to have a look at the awesome slides: http://kevincrook.com/ucb/slides/UCB_W205_Student_Slides.zip

There is also more recent material, with different and more recent readings that you might also be interested in, but I prefer 2017, which is what I linked to above, seems more thorough and deeper: http://kevincrook.com/ucb/ucb.html

[mgradowski → charlysl]

Looks great, thank you very much. I posted a link to your reply under an issue on GitHub.

[michaelmior]

Looks to be a great collection but is mostly likely violating a number of copyrights. Probably not likely much will happen though I'm guessing.

[triplee]

Now this is good content. Thank you!