Machine Learning - Supervised VS Unsupervised Learning

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  • Опубликовано: 25 дек 2024

Комментарии • 33

  • @sumertavadia1705
    @sumertavadia1705 7 лет назад +20

    This was so to the point! Thanks :)

  • @pixel7038
    @pixel7038 5 лет назад +25

    You didn't really give examples of unsupervised data. I do appreciate the context explaining tho

    • @Heisenberg355
      @Heisenberg355 2 года назад

      @Caleb White so you don't really get any predictions off of it? Like what's the point?

  • @mahiaravaarava
    @mahiaravaarava 3 месяца назад

    Supervised learning uses labeled data to train models for specific predictions or classifications. In contrast, unsupervised learning works with unlabeled data to uncover hidden patterns and structures. Each approach serves different purposes: supervised learning for targeted outcomes and unsupervised learning for exploring data insights.

  • @WittCode
    @WittCode 4 года назад +2

    Short sweet and to the point! Thanks!

  • @sheepman6291
    @sheepman6291 6 лет назад +2

    Thank you! Everyone else's explanations sucked until yours.

  • @MB-vd6hc
    @MB-vd6hc 2 года назад

    Thanks, it was a great classification of definitions

  • @emilypetersen3039
    @emilypetersen3039 2 года назад +1

    Clear and to the point! thank you!

  • @rimshakanwal613
    @rimshakanwal613 6 лет назад +3

    outstanding! it is exactly what I wanted to know...

  • @fitrianinasir5101
    @fitrianinasir5101 4 года назад

    this was so to the point, but I hope there's an example of unlabeled dataset

  • @ddnhan
    @ddnhan 5 лет назад +1

    Thank you! This is such a clear explanation!

  • @normen7743
    @normen7743 4 года назад

    Aren't supervised learning and unsupervised learning same as rule based model and machine learning model (ML algo.) respectively ?

  • @ceciliocbaroperez8815
    @ceciliocbaroperez8815 4 года назад

    So great explained, thanks and keep up the good work!

  • @AlanGuerraAW
    @AlanGuerraAW 3 года назад

    Thanks for this amazing info.

  • @meganmaitland4030
    @meganmaitland4030 7 лет назад

    Is associative learning, like Hebbian learning, supervised or unsupervised?

  • @fatimahehab7986
    @fatimahehab7986 5 лет назад +1

    Extremely insightful in a little amount of time.
    Thanks!

  • @MrChefMedz
    @MrChefMedz 5 лет назад

    This was really great. Thank you!

  • @adamhamdi3642
    @adamhamdi3642 4 года назад

    straight to the point

  • @ankush_in_sync5998
    @ankush_in_sync5998 5 лет назад +1

    thanks for making

  • @SMajid--SMajid
    @SMajid--SMajid 2 года назад

    It helped.
    Thx!

  • @muskduh
    @muskduh 4 года назад

    thank you

  • @migishaboyd
    @migishaboyd 3 года назад

    thank you Sir

  • @RzOmar
    @RzOmar 2 года назад

    ❤❤❤ clear

  • @fernandoluis53
    @fernandoluis53 5 лет назад

    you did not do a good job explaining features. You first said its value, then category, then observation, then a block.

  • @thabitiyssoufa3232
    @thabitiyssoufa3232 6 лет назад

    Waw good explaining

  • @esmailiyou
    @esmailiyou 6 лет назад

    Awesome!

  • @PakistaniMaterial
    @PakistaniMaterial 6 лет назад

    Great

  • @antwanwimberly1729
    @antwanwimberly1729 2 года назад

    Tuples. Looks a lot like relational algebra #findgod world

  • @antwanwimberly1729
    @antwanwimberly1729 2 года назад

    Wan here

  • @antwanwimberly1729
    @antwanwimberly1729 2 года назад

    Don’t forget about #etl folks.
    #extracttransformload #tiftregionalmedicalcenter #cleverbrooks 229 is the area code.