luisa's vault

luisa's virtual vault

a collection of my favorites

math/cs things

dive into deep learning, great machine learning book that teaches the fundamentals with just the right amount of both math and code.
mit open courseware, taught me proof based calculus I-III and linear algebra (thank you, gilbert strang).
think bayes 2, example based explanations of bayesian statistics that finally sparked the epiphany going from bayes' theorem in probability to bayesian statistics.
statquest's #66DaysOfData, intuitive illustrations of statistical analysis with examples from genetics (brought to you by the friendly folks of the genetics department at UNC chapel hill!)
ritvikmath, great intuitions and solid math on statistical concepts like sampling from a distribution and markov chain monte carlo techniques.
stanford lecture series on deep generative models

introduction to variational autoencoders kingma and welling's expanded work on vaes with all derivations and excellent explanations.
prof paul hand's channel and specifically his lecture series on special topics in deep learning.
deep learning by bishop and bishop, dense encyclopedia on deep learning, excellent for recaps.
talktorials by the volkamer lab
introduction to computer systems, solid ground up explanations, currently reading on and off for a better understanding of puters.
differential equations lectures, from a prof in clemson, nice intuitions, solid explanations.
erik bekkers' (uva prof) youtube channel, with a whole bunch of excellent lectures on geometric deep learning.
uva's deep learning (but actually just geometric deep learning) tutorials

more things

campbell biology, beautifully written and illustrated introduction to biology that reignited my love for the natural sciences.
logical chess move by move, collection of beautiful chess games, explained move by move. playing the games out on a physical board opened my eyes to how gorgeous positional play can be, and really made me fall in love with the game!
how to reassess your chess, the workbook with positional puzzles is a blast to work through
wikipedia, for rabbit holes and for reading about measure theory after forgetting things for the nth time.
knit your first sweater tutorial, surprisingly hard to find in depth tutorials for getting into knitting, but this one's excellent.