4 ms·
Yup, symbols are the hardest. A few years ago (on sort of a whim?) I read a ML science paper without first having much of the foundational knowledge; I'd end u
by RangerScience 5y ago
Yup, symbols are the hardest.
A few years ago (on sort of a whim?) I read a ML science paper without first having much of the foundational knowledge; I'd end up having to go off on more than a few Google dives per paragraph, just to understand what they were talking about.
But you can't Google an equation, or a symbol in an equation - at least I couldn't, and get meaningful results.
- stirfish 5y agoThe biggest advantage computer scientists have over mathematicians is that our variables can be more than one character
- MaxBarraclough 5y agoMathematicians allow multi-character identifiers when it comes to functions, though. sin, abs, det, etc.
- sirwhinesalot 5y agoNot in academic papers unfortunately... And while math symbols are somewhat standard across papers, every CS paper comes up with their own meanings for half the symbols they use. Sometimes they are nice enough to say "we use random squiggly arrow to mean x", but then you need to keep a table of symbols on the side to even read the paper. Other times they just reuse "common" symbols and expect you to know, even though that symbol has been used for more than one purpose over time. It's all very tiresome.
- MaxBarraclough 5y ago> I read a ML science paper without first having much of the foundational knowledge; I'd end up having to go off on more than a few Google dives per paragraph, just to understand what they were talking about. That's pretty much the norm with scientific publications, no? They're intended to be read by people with advanced degrees in the field.
- marcosdumay 5y agoYou know you have a problem when even advanced degrees in a close field isn't enough, because your symbols are different. (And yeah, ML has this one.) We should have iconographic dictionaries for Math.
- MaxBarraclough 5y agoOne man's i is another man's j.