Bayes’ Rule and Decision Trees

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  • Опубликовано: 3 окт 2024

Комментарии • 11

  • @princeofheaven19
    @princeofheaven19 Год назад +4

    Better explained than my $ 8k decision theory course at my university

  • @bhawnasingh5653
    @bhawnasingh5653 9 месяцев назад +2

    Thank you ma'am.....u r the best 💕

  • @nazaninmotiee719
    @nazaninmotiee719 5 месяцев назад +1

    thanks a lot you are great

  • @banzie74
    @banzie74 Месяц назад

    So decision trees can be used only when there are only 2 possible outcomes because otherwise finding the complementary probabilities would not be possible

  • @HelloWorld-b6r
    @HelloWorld-b6r 3 месяца назад

    video 27:45 how to get E(income)=7169 for node 1?

  • @fadhilshuma3597
    @fadhilshuma3597 7 месяцев назад

    Thank You Ma'am, ...... 🎉🎉

  • @elifzypak9547
    @elifzypak9547 Год назад

    thanks :)

  • @sayantaniguha8519
    @sayantaniguha8519 2 года назад

    A box contains the following three coins.
    I. A fair coin with head on one face and tail on the other face.
    II. A coin with heads on both the faces.
    III. A coin with tails on both the faces.
    A coin is picked randomly from the box and tossed. Out of the two remaining coins in the box, one coin is then picked randomly and tossed. If the first toss results in a head, the probability of getting a head in the second toss is
    Plz help solve this question using Bayes Theorem

  • @devanshisharma2313
    @devanshisharma2313 7 месяцев назад

    How 6620.2 comes?

    • @HelloWorld-b6r
      @HelloWorld-b6r 3 месяца назад

      I think it is 6749.90
      Calculate :
      0.48×7169=3441.12
      0.52×6361.5=3308.78
      E(Income)=3441.12+3308.78=6749.90

  • @fadhilshuma3597
    @fadhilshuma3597 7 месяцев назад

    But Somewhere The maths of values is not right. The one after determining the probabilities, ..... !!!