Fantastic insights! I especially like how you’ve articulated the value of using “easy” books to connect concept to the “real world.” I’ve certainly run into the problem of trying to Ankify a big dense book, and getting bogged down with it.
Incidentally I’m also working through the Book of Why and Causality by Pearl. Great progression (starting with one, then returning to the other).
I’ve been using Anki for math and computing for several years now, and one word of warning is that your big, dense cards (i.e. screen-shotted definitions) are the sort of thing that, in my experience, is easy to remember for a month or two (because rote memorization is filling in a lot of the glue), but becomes much more difficult (and trends toward ease hell) once intervals reach the high months/years range.
So I wonder if after a couple more months you might feel inclined to refactor your cards to use many small cards (rather than few big cards) to express definitions and theorems.
Personally, I’ve converged on a highly visual approach to chunking concepts into their “basic idea,” followed later by detail cards to drill specific aspects of a larger whole. This is obviously a nice approach of diagram-friendly areas like topology:
But also works for equations, algorithms, etc. too.
Fantastic insights! I especially like how you’ve articulated the value of using “easy” books to connect concept to the “real world.” I’ve certainly run into the problem of trying to Ankify a big dense book, and getting bogged down with it.
Incidentally I’m also working through the Book of Why and Causality by Pearl. Great progression (starting with one, then returning to the other).
I’ve been using Anki for math and computing for several years now, and one word of warning is that your big, dense cards (i.e. screen-shotted definitions) are the sort of thing that, in my experience, is easy to remember for a month or two (because rote memorization is filling in a lot of the glue), but becomes much more difficult (and trends toward ease hell) once intervals reach the high months/years range.
So I wonder if after a couple more months you might feel inclined to refactor your cards to use many small cards (rather than few big cards) to express definitions and theorems.
Personally, I’ve converged on a highly visual approach to chunking concepts into their “basic idea,” followed later by detail cards to drill specific aspects of a larger whole. This is obviously a nice approach of diagram-friendly areas like topology:
But also works for equations, algorithms, etc. too.
I’ve got some more examples here:
* Advance machine learning concepts
* Statistics