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Eigensolutions: Composability as the Antidote to Overfit

lea.verou.me

21–23 of 23 posts

Re: Eigensolutions: Composability as the Antidote to Overfit

#21
post #2

The use of "eigen" here seems to have stretched too far beyond its original meaning in mathematics, and in German more generally. In German, "eigen" means "own" like "my own idea." In mathematics, "eigenvalue" is a certain numeric value associated to a matrix or linear operator, which is independent of various representations of that matrix or operator. In that sense, the number is the operator's "own" value, in the…

Nice thread! Finally!

I 'know' Lea Verou since ~2010. She is a household name in web design and development. Like A List Apart, Chris Coyier, Eric Meyer.

I've read regularly her articles and used her tools for years. I'm not in web design and development anymore; more like category theory, functional programming - thus composition.

The title caught my eye. I wasn't expecting these words in a web design and development article; wasn't expecting these words around 'composability'. I read papers almost daily and I'm used with 'strange new' words.

I read also the article. It's far from being enjoyable, clear, useful, linking explicitly the term composition to this domain. Maybe we should step back a little bit and try to simplify things. They 'compose' better.

Re: Eigensolutions: Composability as the Antidote to Overfit

#22
post #2

The use of "eigen" here seems to have stretched too far beyond its original meaning in mathematics, and in German more generally. In German, "eigen" means "own" like "my own idea." In mathematics, "eigenvalue" is a certain numeric value associated to a matrix or linear operator, which is independent of various representations of that matrix or operator. In that sense, the number is the operator's "own" value, in the…

[dead]

Re: Eigensolutions: Composability as the Antidote to Overfit

#23
This is an unfocused post. There are too many side notes, fancy alleys into html markup and too many side trips into subtopics abstractly related by use case analysis.

After reading stuff like this for a year, a text book or professor's lecture will start looking seriously good.

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