Allen Downey: Bayesian Decision Analysis [Tutorial] | PyData Global 2022

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  • เผยแพร่เมื่อ 2 ต.ค. 2024

ความคิดเห็น • 6

  • @ahmedelgammal1605
    @ahmedelgammal1605 ปีที่แล้ว +3

    One of the best lectures I ever had ❤❤❤

  • @neptunesbounty1786
    @neptunesbounty1786 ปีที่แล้ว +3

    The GOAT

  • @AI_BotBuilder
    @AI_BotBuilder ปีที่แล้ว +1

    Where do these pydata meetings take place? How can I participate as a listener? I’m self taught, so I don’t have access to academic groups or all these university professors lectures, academia in general, I mostly spend learning applied maths and python by myself and never took part in public group meetings due to personal issues, but I would like to join meetings like this and learn if they are open to public common people interested. Thankyou.

  • @kezif
    @kezif ปีที่แล้ว

    Why likelihood_win is defined as index of value (0-100) divided by 100? It made sense with urns, because each urn had n/m (n - index of urn, m - total number of urns) probability of drawing blue marble. Does likelihood of win in case of bandits say that with higher value of x we are getting higher probability of winning?

  • @jacobrosen3382
    @jacobrosen3382 9 หลายเดือนก่อน

    6:00 start

  • @aruncps
    @aruncps ปีที่แล้ว

    awesome