Thompson sampling, one armed bandits, and the Beta distribution

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  • Опубліковано 5 лип 2021
  • Thompson sampling is a strategy to explore a space while exploiting the wins. In this video we see an application to winning at a game of one-armed bandits.
    Beta distributions video: • The Beta distribution ...
    Tom Denton blog: inventingsituations.net/
    Icons made by Freepik from www.flaticon.com
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  • Наука та технологія

КОМЕНТАРІ • 24

  • @marcin.sobocinski
    @marcin.sobocinski Рік тому +9

    That's the clearest and easiest to understand explanation of Thompson sampling I've ever seen! Thank you!

  • @arturoaltamirano1376
    @arturoaltamirano1376 2 роки тому +4

    A real talent to explain complex math in simple and clear terms. Excellent use of graphics and animation.

  • @aritramandal5855
    @aritramandal5855 2 роки тому +3

    Such an informative video. All these complex concepts are cleared so nicely and simply.

  • @srinivasanbalan2469
    @srinivasanbalan2469 2 роки тому +3

    You are the best teacher always, Dr. Serrano. Thanks for the upload.

  • @andrewt929
    @andrewt929 Рік тому

    “Best” (most intuitive, concise, and practical) explanation of both Thompson sampling and OAB I’ve found. Rivtik should be jealous.

  • @lenkapenka6976
    @lenkapenka6976 2 роки тому +1

    EXCELLENT Video! And one of the few that explain the Bandit problem clearly and succinctly with Thompson sampling.

  • @rng1160
    @rng1160 2 роки тому +3

    another great video, really appreciate the simplicity and knowledge in it

  • @JackLiu-xn4jz
    @JackLiu-xn4jz 5 місяців тому

    Because there's no Chinese subtitle in the video so I would like use English to reply the comment。 the video is cool and easy to understand and I understand it and benefit from it lot. Thank you, thank you very much

  • @etienneboutet7193
    @etienneboutet7193 2 роки тому +1

    Thank you for this video. Very informative as always !

  • @priyasearcher
    @priyasearcher 2 роки тому +1

    Thank u so much sir... Want more videos on machine learning and deep learning topics

  • @abdealiarsiwala5485
    @abdealiarsiwala5485 3 місяці тому

    Amazing explaination!

  • @cernejr
    @cernejr 2 роки тому

    Nice video, I learned something today.

  • @robmarks6800
    @robmarks6800 2 роки тому

    Very well done!

  • @cssambit
    @cssambit 2 роки тому

    Great video ☺️

  • @sgodse
    @sgodse Рік тому

    Great video.

  • @samvrittiwari351
    @samvrittiwari351 2 роки тому

    Happy Teachers day sir
    Love from India.
    🙂

  • @busn311
    @busn311 2 роки тому +4

    8:23 an error in the third graph when adding the third trial. The graph should move skew to the right instead of left.

    • @SerranoAcademy
      @SerranoAcademy  Рік тому +1

      You’re right, thank you for the correction!

  • @ullibowyer
    @ullibowyer 3 місяці тому

    9:17 you say "picking a random point from the distribution" which makes it seem like the x coordinate is randomly chosen. I think it's much clearer to say draw a random sample from the distribution.

  • @yashasvibhatt1951
    @yashasvibhatt1951 2 роки тому

    Hi Luis, I have a doubt, at 8:46 how did M2, M3 and M4 achieved a Right Skewed, Left Skewed and Right Skewed curves respectively

  • @user-wr4yl7tx3w
    @user-wr4yl7tx3w Рік тому

    How doe Thompson sampling ensure we choose the unexplored machine? Did you make that clear in the video explanation?

  • @matheussales4861
    @matheussales4861 2 роки тому

    Awesome

  • @kasraamanat5453
    @kasraamanat5453 2 роки тому

    ❤️

  • @tvvt005
    @tvvt005 2 місяці тому

    5:52 kindly distinguish between likelihood and probability,i am a little lost here