Week 1 Lecture 3 - Unsupervised Learning

Поділитися
Вставка
  • Опубліковано 1 січ 2025

КОМЕНТАРІ • 9

  • @pakeshchauhan4202
    @pakeshchauhan4202 6 років тому +12

    One of the best tutorial series on ML..

  • @satadhi
    @satadhi 5 років тому +7

    How do we get the ppts ?

  • @yuvi-xt3lo
    @yuvi-xt3lo 4 місяці тому

    Understanding Bias:
    Example- If you play game for too long, you won't feel like studying after that-- may come from experience. Sometimes you might have studied afterwards, but mostly you didn't. If you want to play in the future, what will your judgement of consequences be?
    Bias means some slightly erroneous assumptions the model makes about nature of dataset and its patterns.
    If you don't make such assumptions, how will you predict anything on an unseen dataset?

  • @clashingtv2527
    @clashingtv2527 Рік тому +1

    Ohh this tutorial really helping to prepare jeva 2024 exam
    But most importantly I love programming and python

  • @Nancivlog
    @Nancivlog 3 роки тому +3

    what is bias ?

    • @hallo-xp2wh
      @hallo-xp2wh 3 роки тому

      bias unfair
      no bias means fair

    • @Quantatech.369
      @Quantatech.369 Рік тому

      Partiality

    • @Dkb-t9u
      @Dkb-t9u 11 місяців тому

      ​@@hallo-xp2wh😮😮😮😮😮😮😮😮😮😮😮😮😮😮😮😮😅😮PM I'M

    • @yuvi-xt3lo
      @yuvi-xt3lo 4 місяці тому +1

      Example- If you play game for too long, you won't feel like studying after that-- may come from experience. Sometimes you might have studied afterwards, but mostly you didn't. If you want to play in the future, what will your judgement of consequences be?
      Bias means some slightly erroneous assumptions the model makes about nature of dataset and its patterns.
      If you don't make such assumptions, how will you predict anything on an unseen dataset?