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My collection of machine learning paper notes

notion.so

1–10 of 35 posts

Re: My collection of machine learning paper notes

#3
Very nice. I especially like the structure (What?, Why?, How?, And?) which is shared for every note. Though it has fallen out of popularity, RSS will be useful. Overall the concept kinda reminds me [the morning paper](https://blog.acolyer.org). I wonder if there're similar attempts for other fields (math, physics, ...).

Re: My collection of machine learning paper notes

#6

Very nice. I especially like the structure (What?, Why?, How?, And?) which is shared for every note. Though it has fallen out of popularity, RSS will be useful. Overall the concept kinda reminds me [the morning paper]( https://blog.acolyer.org ). I wonder if there're similar attempts for other fields (math, physics, ...).

Thanks! This structure helps a lot when comparing your work to the related literature. I chose notion because editing (and adding a new note) causes as little pain as possible since it's hard to keep a pace of a paper a day. I do not know how to add RSS support here though =( But I'll keep that in mind.

Re: My collection of machine learning paper notes

#10
post #9

A bit of a tangent, but Notion is performing well for a post on the HN front page, even with equations.

Do you think the equations are generated on the fly? I thought they are getting cached.

I feel like they're either cached or generated client-side with MathJax. No chance they're being generated every single time.
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