I purchased them in 2019 as I was refreshing my general ML knowledge as I was getting deeper outside my particular ML specialty at work. Loaded them into Anki. Wasn't really a fan, but definitely one of those "$12 isn't worth complaining about it and getting a refund from someone who seems earnest" type of situations. Notably they're not traditional flashcards where I can be given one side, answer the question or rep…
Machine Learning Flashcards
31–40 of 41 posts
Re: Machine Learning Flashcards
#32I purchased them in 2019 as I was refreshing my general ML knowledge as I was getting deeper outside my particular ML specialty at work. Loaded them into Anki. Wasn't really a fan, but definitely one of those "$12 isn't worth complaining about it and getting a refund from someone who seems earnest" type of situations. Notably they're not traditional flashcards where I can be given one side, answer the question or rep…
Thanks for sharing your experience. These don't sound like what I would call "flash cards" if they only have material on one side. And I'm not sure the point of loading them into Anki.
Re: Machine Learning Flashcards
#33Re: Machine Learning Flashcards
#34Re: Machine Learning Flashcards
#35Earlier quoted context omitted.
Thanks for sharing your experience. These don't sound like what I would call "flash cards" if they only have material on one side. And I'm not sure the point of loading them into Anki.
Well, I assumed they were because they're literally called "Machine Learning Flashcards" and, being what I assumed we're flashcards, I loaded them into Anki, which is for help memorizing concepts.
Re: Machine Learning Flashcards
#36It's exactly how you create a program. You define functions using other, more lower-level, functions. The only problem with this approach is that it's tedious to create the cards. It might also be tedious for someone going through the cards.
What do you think?
Re: Machine Learning Flashcards
#37Re: Machine Learning Flashcards
#38I purchased them in 2019 as I was refreshing my general ML knowledge as I was getting deeper outside my particular ML specialty at work. Loaded them into Anki. Wasn't really a fan, but definitely one of those "$12 isn't worth complaining about it and getting a refund from someone who seems earnest" type of situations. Notably they're not traditional flashcards where I can be given one side, answer the question or rep…
IMO flashcards are more useful if you build them yourself and try to recall the context around it, not just what's in the flashcard. Doesn't have to be flashy, though flashiness may help with retention.
Re: Machine Learning Flashcards
#39There are people saying here that is not worth it. I tend to agree but for different reasons. Flashcards with spaced repetition can help you learn mathy concepts, as Michael Niesel and others have shown. As high_derivative notes, to make the process worthwhile, you need to make the notes yourself in order to internalize chunks that are worthwhile to you. That means your own definitions that you are failing to remembe…
“One of us has previously asserted (Michael Nielsen, Augmenting Long-Term Memory (2018)) that in spaced-repetition memory systems, users need to make their own cards. The reasoning is informal: users often report dissatisfaction and poor results when working with cards made by others. The reason seems to be that making the cards is itself an important act of understanding, and helps with committing material to memory. When users work with cards made by others, they lose those benefits.
Quantum Country violates this principle, since users are not making the cards. This violation was a major concern when we began working on Quantum Country. However, preliminary user feedback suggests it has worked out adequately. A possible explanation is that, as noted above, making good cards is a difficult skill to master, and so what users lose by not making their own cards is made up by using what are likely to be much higher-quality cards than they could have made on their own. In future, it’s worth digging deeper into this issue, both to understand it beyond informal models, and to explore ways of getting the benefits of active card making.”
Re: Machine Learning Flashcards
#40Darn, got my hopes up. https://www.evernote.com/l/ABq8HaHnNtlBRJNb62FXRx-imGp-s0-jY...
We recently launched precisely this - a note-taking app that lets people add questions/identify salient terms for review as flashcards, and ML that applies those questions to auto-generate fill-in-the-blank for any written material. Would love to hear any feedback you have. The app is called Notefuel: https://apps.apple.com/us/app/notefuel/id1458567718
I would love to hear from you guys when an Android app is available.