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This is an awesome resource that I keep coming back to again and again. Save this somewhere on your computer so you'll have it handy whenever you see some weird matrix derivative...
I used to use this a bunch when calculating gradient descent algorithms, but I've since moved to using libraries with auto-differentiation (numpy with autodiff or theano) and it's a huge force multiplier for my work (not to mention GPU implementations basically for free).

Of course there's always some derivation that's easiest done by hand.

I clicked wondering what kind of food they were making from the movies.
Must confess, before clicking my mind immediately went to "wonder if it contains a recipe for the mush they ate on the nebuchadnezzar?"
No mention of Adjoint matrices or pseudo-inverse queues from the handful of pages I glimpsed over during a quick sweep read at Big Lots.
This PDF literally got me through grad school. It's an amazing reference.