Gaussian Process - Regression - Part 1 - Kernel First

Поделиться
HTML-код
  • Опубликовано: 2 дек 2024

Комментарии • 14

  • @papercut._.
    @papercut._. 2 месяца назад

    This is actually good. you abtracted the rabibit hole math concepts and went straight to the general overview. Thanks!

  • @nevis2769
    @nevis2769 2 месяца назад

    Excellent intro!

  • @rajanalexander4949
    @rajanalexander4949 Год назад +1

    This is incredibly clear and helpful; thank you!

  • @abhishekp4818
    @abhishekp4818 3 года назад +1

    Beautiful explanation on GP

  • @violinplayer7201
    @violinplayer7201 Год назад

    Very helpful!!!! Thx!

  • @pierre_laur
    @pierre_laur 2 года назад

    Very helpful, thanks !

  • @zonglehuang4147
    @zonglehuang4147 2 года назад

    Great video! Helped me a lot!

  • @gregoryaxelrod1426
    @gregoryaxelrod1426 2 года назад

    Thank You

  • @Space_Wanderer__
    @Space_Wanderer__ 3 года назад

    Great video

  • @emresdance
    @emresdance 3 года назад

    Thanks man

  • @gumba2k
    @gumba2k 3 года назад

    What would happen if the noise had a mean ?

  • @leozinho2r
    @leozinho2r 3 года назад

    Hi, thanks for a great video! It seems the link to the Jupyter Notebook doesn't work however.... Do you have a working link by any chance? Thanks! :)

    • @MeerkatStatistics
      @MeerkatStatistics  3 года назад +1

      I fixed the link. Try now.

    • @leozinho2r
      @leozinho2r 3 года назад

      @@MeerkatStatistics It does! Thanks so much :)