John Salvatier: Bayesian inference with PyMC 3

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  • เผยแพร่เมื่อ 19 ต.ค. 2024

ความคิดเห็น • 6

  • @WalterReade
    @WalterReade 9 ปีที่แล้ว +1

    Great video. I've been impressed with the number of variables PyMC3 can handle (I've created models with 2,000+). Theano compilation time can get very long, though, requiring more time than the actual sampling at times.

  • @michaelmoore7568
    @michaelmoore7568 4 หลายเดือนก่อน

    Allen Downey recommends a half-Cauchy for Nu, and sigma... maybe, i am misunderstanding something though.

  • @stepkurniawan
    @stepkurniawan 2 ปีที่แล้ว +1

    Is there any github link to point out to the presentation?

  • @ChrisMNetrunner
    @ChrisMNetrunner 8 ปีที่แล้ว +2

    Thanks for the video. I had to stop listening and look at the slides though because of how often you said 'Uh' and 'Um'. Something to work on :)

    • @qrubmeeaz
      @qrubmeeaz 2 ปีที่แล้ว

      The 'aaa's are very distracting.