Bayesian Hierarchical Models

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  • เผยแพร่เมื่อ 10 พ.ย. 2024

ความคิดเห็น • 12

  • @MrBarrajabaja
    @MrBarrajabaja 2 ปีที่แล้ว +22

    I am grateful to live in a world where Ryan Reinolds is willing to take a break from cinema to teach us about bayesian hierarchical models for free.

  • @olesiamaltynbaeva6091
    @olesiamaltynbaeva6091 3 ปีที่แล้ว +7

    This is the best concise explanation of the hierarchical models that I have ever heard. Thank you.

  • @araldjean-charles3924
    @araldjean-charles3924 3 หลายเดือนก่อน +1

    Great explanation. Has anyone ever thought of using these ideas for a language model? You would have continuous learning built in due to the Bayesian Approach?

  • @goelnikhils
    @goelnikhils 2 ปีที่แล้ว

    Amazing Content on Hierarchical Models

  • @user-wr4yl7tx3w
    @user-wr4yl7tx3w 2 ปีที่แล้ว +1

    I think a video on challenges of using such models could be useful.

  • @andrewdimmick6873
    @andrewdimmick6873 4 ปีที่แล้ว +4

    Very helpful, thank you!

  • @lguerra92
    @lguerra92 3 ปีที่แล้ว +1

    Very good! Thanks for the video

  • @nahiriel
    @nahiriel 2 ปีที่แล้ว +1

    Thank you so much for the explanation, it's very comprehensive!

    • @NEONScience
      @NEONScience  2 ปีที่แล้ว

      Glad you found it useful!

  • @danielbrennan5942
    @danielbrennan5942 4 ปีที่แล้ว +4

    excellent explanation!

  • @rbain16
    @rbain16 3 ปีที่แล้ว +2

    Very informative, thank you!

  • @chadgregory9037
    @chadgregory9037 2 ปีที่แล้ว

    Unless I'm wrong, I feel as though the bayesian hierarchal model approach is like what someone with very rich domain knowledge would use... where as, say a physicist who knows math but not a domain, would probably try applying something such as an ornstein uhlenbeck process or something... does that sound ballpark?