Clojure Data Science - Edmund Jackson

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  • Опубликовано: 31 янв 2025

Комментарии • 12

  • @MaheshCR
    @MaheshCR 12 лет назад

    Awesome presentation. Perfect mix of high level overview, zeroing in on a smaller class of problem and not being snobbish. Really liked it.

  • @MaheshCR
    @MaheshCR 12 лет назад

    Oh yes Sir, Infinity does occupy my belief system very much, would love the pointers please. Blog post, especially using Clojure, is much appreciated..would be grateful!

  • @u3s1r4
    @u3s1r4 12 лет назад

    Great presentation! Found it both thoroughly entertaining and very informative.

  • @thegeniusfool
    @thegeniusfool 12 лет назад +1

    A great presentation. Except for the "x = x + 1" comment regarding infinite numbers. That is obviously not the case even for transfinite ordinals: a successor ordinal is always distinct (and greater in the ordinality sense) from the predecessor, i.e., x+1 != x, even for transfinite numbers. If one interprets "=" as a normative equivalence, i.e., that the cardinality of LHS equals the cardinality of RHS, then his comment is true for transfinite numbers within certain bands only.

  • @rebcabin
    @rebcabin 11 лет назад

    How to handle zeros in relative entropy? In your example, p=[60 40], q=[100 0], and you compute log(p/q), but there's a divide-by-zero iinm?

  • @MaheshCR
    @MaheshCR 12 лет назад

    Ah..frankly, I did not understand your 3rd sentence onwards and am on my way to Wikipedia right now..thanks for pointing me to something I dont know.
    Also, you have wisdom to bring humility forward, so any perceived snobbishness serves a purpose. Your comment helped me :)

  • @seddona
    @seddona 12 лет назад

    Very interesting talk, thanks.

  • @thegeniusfool
    @thegeniusfool 12 лет назад

    If you are interested in infinity in general, I can give some pointers, and I should create a blog post about it, preferably using Clojure to manipulate such transfinite ordinals :-)

  • @edmundjackson8374
    @edmundjackson8374 12 лет назад

    @David. Oops - you got me ! Thanks for the correction.

  • @ggellner
    @ggellner 11 лет назад

    Sucks he didn't actually test how fast Mathematica is for numerics. Using Entropy instead of Dot[y, Log[y]] seems needless (as this is what he is testing matlab and R for ...). Also odd that he is generating different random numbers for R (between 0.1, 1.0, no 0 and 1.0, maybe R can give back 0?)

  • @RogerKeulen
    @RogerKeulen 12 лет назад

    Even the comment's are great: clicking "watch later" now....Brain-Food !

  • @thegeniusfool
    @thegeniusfool 12 лет назад

    Ugh, right after writing my comment I read yours, and am now sorry for exposing a certain snobbishness in my comment :(