How to pronounce“eigenvectors”in English

So there are no eigenvectors, eigenvalues in it.

- Like most empowering eigenvectors.

to look at the metadata of their emails and calculate eigenvectors and dualities.

But you know, it turns out eigenvectors and eigenvalue were the critical breakthrough that made the Google search engine technology work and stand apart from the rest.

Whereas I can actually reduce this down to N eigenvalues and the corresponding N eigenvectors, so I get a lower dimensional representation of it.

I can solve for the P and the R matrix and I can solve for their eigenvalues and eigenvectors.

- Thank you for reducing humans to that, to the most important eigenvectors.

and you put them in a giant matrix and you conclude it, you found a dominant eigenvalues, then those eigenvectors described the best search results

And particularly, you can train embedding vectors or embedding vectors basically recognize, it's like you can think of this like an eigenvalue-eigenvectors decomposition of the bigram space.

And based on that, you could start to think, well, if you can't identify those essential eigenvectors, you can do a lot, and you can actually use