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I would just like to say to linear algebra students today: you are so lucky to have explanations like this, and the Wikipedia article on eigenvalues available t
by jeffrallen 3y ago
I would just like to say to linear algebra students today: you are so lucky to have explanations like this, and the Wikipedia article on eigenvalues available to you. In 1990 when I studied linear algebra, I had the book and my professor's explanations and neither were good enough. What a time to be a student!
- nerdponx 3y agoNot to mention this contains good examples of effective Numpy and Matplotlib usage. It can be really hard to figure out how to do that stuff on your own.
- deleted 3y ago[deleted]
- Mandelmus 3y agoAs a current compsci masters student at ETH Zurich: yes, having those explanations is wonderful, but that just means that topics like SVD and PCA are taken for granted now, and the things that we need to chew on are things for which no nice canonical explainers have been created (and that likely weren’t taught in 1990). Personally I think that innovation in explanation/illustration of abstract mathematical topics is one of the most valuable kinds of progress, but it’s rarely talked about as such. When someone comes up with the right framework, visualisation, or metaphor for explaining a complex and abstract subject in a way that induces “the right” mental model, and this new teaching “tool” proliferates, that is just a beautiful thing to see.
- LoganDark 3y agoThe problem is that since explanations like this exist, I don't know how to figure this kind of stuff out like how you did!