I'd like to find a way to reorganize Math ∩ Programming eventually. As alfonsodev points out, it's a bit hard to find stuff for newer and less mathy readers, though there is a handful of articles aimed at them. [1,2,3,4] As other users point out, they don't like the layout. Suggestions?<p>[1]: <a href="http://jeremykun.com/2011/06/26/teaching-mathematics-graph-theory/" rel="nofollow">http://jeremykun.com/2011/06/26/teaching-mathematics-graph-t...</a><p>[2]: <a href="http://jeremykun.com/2014/05/26/learning-to-love-complex-numbers/" rel="nofollow">http://jeremykun.com/2014/05/26/learning-to-love-complex-num...</a><p>[3]: <a href="http://jeremykun.com/2013/05/11/bezier-curves-and-picasso/" rel="nofollow">http://jeremykun.com/2013/05/11/bezier-curves-and-picasso/</a><p>[4]: <a href="http://jeremykun.com/program-gallery/" rel="nofollow">http://jeremykun.com/program-gallery/</a><p>edit: updated font size & article width. I'm considering changing the theme completely.
I found this blog time ago in Google, searching with terms "mathematics for programmers" I arrived to the article : Why there is no Hitchhiker’s Guide to Mathematics for Programmers <a href="http://jeremykun.com/2013/02/08/why-there-is-no-hitchhikers-guide-to-mathematics-for-programmers/" rel="nofollow">http://jeremykun.com/2013/02/08/why-there-is-no-hitchhikers-...</a>.
Which I'd recommend to read as entry point to this website if you feel intimidated by maths.
Nice to find it again :)
I'm looking forward to the persistent homology posts. It's a really interesting subject with a lot of potential, but I don't feel that the existing textbooks do a good job explaining the computations.
i love this guy's blog posts - not only is he clearly a very smart talented mathematician - he explains concepts in a way that is very easy to understand. I wish i would have found this website when i was getting my master in math. some of the signal processing stuff would have helped a lot.
@j2kun: Just curious, any chance you'd do an explainer on the Curry-Howard equivalence[1] sometime? Forgive me if you already have, but a search didn't turn anything up. Seems pretty relevant to math ∩ programming and also of interest to a lot of generalists.<p>[1] <a href="https://en.wikipedia.org/wiki/Curry%E2%80%93Howard_correspondence" rel="nofollow">https://en.wikipedia.org/wiki/Curry%E2%80%93Howard_correspon...</a>
This website is doubtlessly one of the best introductions to higher math available online. I've gained a lot by both finding and reading the website posts. A weekly email with some sort of order would be great and I would sign up immediately. Keep it up!!!!
QUOTE: << Is it possible to condense high-dimensional data into smaller dimensions and retain the important geometric properties of the data? >><p>Like in a non-dimensional number?. For example the Reynolds number in fluid flow.
> A consequence is that, if you’re trying to cluster data points by looking at points within a fixed distance r of one point, you’ll have to make r exponentially large in the dimension.<p>That does not follow ...
This is really, really awesome. I have a long train ride coming up, so I just put together a quick wget script to get all the pages for when I have zero internet. :)
I know it's a HN cliche to complain about form over the message, but I find this impossible to read without first removing the entire left-hand panels (and ::before p-elements) which re-grab my eye every line-break.