41 Matching Annotations
  1. Last 7 days
    1. Erik Angner. (2021, February 17). One point that the pandemic has brought home to me is just how narrow people’s expertise is. I’m regularly surprised by how a celebrated professor of X can exhibit a sub-college-level understanding of Y, even when X and Y are related. /1 [Tweet]. @ErikAngner. https://twitter.com/ErikAngner/status/1362006859004141570

  2. Apr 2021
  3. Mar 2021
    1. Fibar bi jàngal na taawan bu góor ni ñuy dagge reeni aloom.

      Le guérisseur a appris à son fils aîné comment on coupe les racines du Diospyros.

      fibar -- (fibar bi? the healer? as in feebar / fièvre / fever? -- used as a general term for sickness).

      bi -- the (indicates nearness).

      jàngal v. -- to teach (something to someone), to learn (something from someone) -- compare with jàng (as in janga wolof) and jàngale.

      na -- pr. circ. way, defined, distant. How? 'Or' What. function indicator. As.

      taaw+an (taaw) bi -- first child, eldest. (taawan -- his eldest).

      bu -- the (indicates relativeness).

      góor gi -- man; male.

      ni -- pr. circ. way, defined, distant. How? 'Or' What. function indicator. As.

      ñuy -- they (?).

      dagg+e (dagg) v. -- cut; to cut.

      reen+i (reen) bi -- root, taproot, support.

      aloom gi -- Diospyros mespiliformis, EBENACEA (tree).

      https://www.youtube.com/watch?v=BryN2nVE3jY

  4. Feb 2021
  5. Dec 2020
  6. Nov 2020
    1. You’ll learn how to cause stack overflows, illegal memory access, andother common flaws that plague C programs so that you know what you’re upagainst

      When you learn from "Learn C the Hard Way"

    Tags

    Annotators

  7. Oct 2020
    1. Sprawdźmy który rodzaj modelu daje najlepszą skuteczność: Python sns.boxplot(data=models_df, x='score', y='model') 1 sns.boxplot(data=models_df, x='score', y='model')

      After comparing the pipelined ML models, we can easily display a comparison boxplot.

      Well working ML models: 1) XGBoost 2) LightGBM 3) CatBoost.

    2. Przy tych danych wygląda, że właściwie nie ma większej różnicy (nie bijemy się tutaj o 0.01 punktu procentowego poprawy accuracy modelu). Może więc czas treningu jest istotny? Python sns.boxplot(data=models_df, x='time_elapsed', y='model') 1 sns.boxplot(data=models_df, x='time_elapsed', y='model')

      Training time of some popular ML models. After considering the performance, it's worth using XGBoost and LightGBM.

    3. Teraz w zagnieżdżonych pętlach możemy sprawdzić każdy z każdym podmieniając klasyfikatory i transformatory (cała pętla trochę się kręci):

      Example (below) of when creating pipelines with scikit-learn makes sense. Basically, it's convenient to use it while comparing multiple models in a loop

  8. Aug 2020
  9. Jul 2020
    1. And on the topic of this particular article you need to own bigger mistakes too. It doesn't matter if the Apache board genuinely believed in 2014 that this was a good idea, it should now be obvious to everyone that it wasn't. Board members allowing it to continue can't fall back to "Well we didn't know...", because they do now. Every day that they have the evidence in front of them that the project is failing and do nothing they're _culpable_ for that as members of the board.
  10. Apr 2020
    1. Such languages may make it easier for a person without knowledge about the language to understand the code and perhaps also to learn the language.
  11. Mar 2020
    1. Now we're moving on to the next thing instead of really rolling around with this idea and trying to understand it."

      Yes, it's that deeper processing that we can aim for. Developing the kinds of critical thinking tasks that foster reflection, investigation, and redjusment.

  12. Jan 2020
    1. to remember how to best fall down;

      Remember how our children learned to walk? Yeah, they didn't learn how to walk, they learned how to fall down.

  13. Nov 2019
  14. Aug 2019
  15. May 2019
  16. Mar 2019
    1. This page enables one to download the book "How People Learn" for free and allows one to link to related content. This book was not originally written for adult learning but is included here because it is a valuable resource, an entire book provided for free, with immediate relevance to adult learning even if every example, etc. is not based on adult learning. Rating 4/5

  17. Nov 2018
    1. This article was found on the website PHYS.ORG. This website covers many topics including education. The education section is where the reader will find the most relevant information and research to teaching and learning.

      7/10

  18. Jul 2018
    1. game-based approach to teaching and learning.

      I feel like this would be a great approach for some kids who really love video games- its neat how this school incorporated classroom learning into this

    1. Can explain concepts, principles, and processes by putting it their own words, teaching it to others, justifying their answers, and showing their reasoning.• Can interpret by making sense of data, text, and experience through images, analogies, stories, and models.• Can apply by effectively using and adapting what they know in new and complex contexts.• Demonstrate perspective by seeing the big picture and recognizing differ-ent points of view.• Display empathy by perceiving sensitively and walking in someone else’s shoes.• Have self-knowledge by showing meta-cognitive awareness, using productive habits of mind, and reflect-ing on the meaning of the learning and experience.

      Awesome examples! kind of reminds me of Bloom's taxonomy concept

  19. Nov 2017
  20. Jul 2017
  21. Feb 2017
  22. Jan 2017
    1. figuring out what’s important in living a life fully in a world that has become increasingly digital.

      This is a excellent essential question for those of us who work in education technology... how do we live and learn fully in a world that has become increasingly digital?

  23. Aug 2015
    1. Hands on

      This might be the most explicit link to constructivism and constructionism. Not only is it about “learn by doing”, but it’s about concrete action in the physical world. Can’t help but find it limiting and restrictive to mention “3D Printing” as the main component. After all, FabLabs got started without 3D printers and the Maker movement has a lot of stuff which has little to do with 3D Printing. But it’s hard to argue that 3D Printing haven’t attracted attention, in the past couple of years. Sexier than laser etching? As Makers often point out, there’s a lot in the movement which is really very similar to what was happening in shop class. Though the trend may sound new, it’s partly based on nostalgia. A neat aspect, though, is that much of it can happen through learners’ projects cutting across class boundaries. Sure, we’ve known about project-based learning for a while. You do a project for a class or a series of classes. But how about a personal pathway (cf. “individualism”, above) through which learners add learning experiences around a central project? Learning Circles can make that into something really neat.

  24. Jun 2015
  25. Oct 2014
    1. foldMap :: Monoid m -> (a -> m) -> t a -> m

      I'm not sure, but I think what he meant here was foldMap :: Monoid m => (a -> m) -> t a -> m.

  26. Nov 2013
    1. Like any other discipline, the theory of invention and arrangement must be practiced in two ways: first, in order that by its means we should through external examples learn common sense from argument, judgment from the manner of conclusion, and complete prudence from the method of arrangement and order; secondly, that by means of the same art we should devise similar examples in speech and writing.

      Learn rhetoric through analyzing others and practicing what you've learned.

  27. Oct 2013
    1. Therefore, the first consideration for the student is to understand what he proposes to imitate and why it is excellent.

      Imitation is important and students must choose the best to imitate.