Probably Approximately Correct (PAC)Learning ( KTU CS467 Machine Learning Module 2)

Поделиться
HTML-код
  • Опубликовано: 19 авг 2024

Комментарии • 23

  • @akshayanilkawale5970
    @akshayanilkawale5970 3 месяца назад +9

    There is big difference in reading and teaching

  • @sergiotorrijos5911
    @sergiotorrijos5911 5 месяцев назад

    After some time I think I've understood it thanks to this video. Very clear explanation!!

  • @nishantkamboj6543
    @nishantkamboj6543 2 года назад +2

    Never saw a great explanation than this ❤️

  • @kurmangee58
    @kurmangee58 7 месяцев назад

    Beautifully explained. Thank you!

  • @mottymathews5832
    @mottymathews5832 2 месяца назад

    Great explanation. Thank you

  • @tianshizhang458
    @tianshizhang458 2 года назад

    Detailed explanation and good PPT. I like it!

  • @ercanatam6344
    @ercanatam6344 2 года назад +3

    There are some notational confusions: at 4:32, you use Error (h), then write this P(CXORh) and then use "Pr". What is difference between Error (h) and P(CXORh)? For probability you use both "P" and "Pr", that is not consistent.

  • @haji3787
    @haji3787 3 года назад +1

    Great explanation. Thanks!

  • @yahyaemara6617
    @yahyaemara6617 2 года назад

    Great video!, Thanks for explanation

  • @kalpanan343
    @kalpanan343 3 года назад +1

    Very nice

  • @saketnarendra8864
    @saketnarendra8864 2 года назад

    Thank You maam, really well explained

  • @abdokabany4807
    @abdokabany4807 3 года назад

    Thank you very much that was really helpful

  • @aldenmenzalgy3313
    @aldenmenzalgy3313 7 месяцев назад

    Amazing!!!

  • @nitya6828
    @nitya6828 2 года назад +1

    Can I get ppt of this video?

  • @ramapathivada
    @ramapathivada 3 месяца назад

    Asalu aaa error values ela vesaru?epsilon =0.05 endhuku

  • @harsh4749
    @harsh4749 2 года назад +1

    14:40 where does inequality eq came from

    • @sanITtips
      @sanITtips  2 года назад

      By applying Hoeffinding Inequality

  • @ALEXPJOSEPHBTechCSEA-
    @ALEXPJOSEPHBTechCSEA- 2 года назад

    thanks

  • @akhilkumar220k.s9
    @akhilkumar220k.s9 2 года назад

    Ma'am could please share us the notes if possible.

  • @fatimaishtiaq8422
    @fatimaishtiaq8422 2 года назад

    thank you. but can u give me its coding?

  • @vishaltanawade7637
    @vishaltanawade7637 2 года назад

    We can read ,,,,

  • @9860215497
    @9860215497 Год назад

    Why epsilon and delta is upper bounded by 1/2?

    • @rajkane989
      @rajkane989 Год назад

      1/2 is just a conveniently small value that can be made arbitrarily small. Having error over 50% or probability less than 50% would make for a useless model