Feature Extraction

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  • เผยแพร่เมื่อ 17 ธ.ค. 2024

ความคิดเห็น • 28

  • @srinivaspachika1996
    @srinivaspachika1996 4 ปีที่แล้ว +7

    This is the best video I have seen on PCA. Thank you, mam!

  • @bombastic_side_eye_007
    @bombastic_side_eye_007 ปีที่แล้ว +1

    Finally someone who's not showing a power point

  • @vishnukiran6116
    @vishnukiran6116 5 ปีที่แล้ว +2

    Really Great explanation thanks for your time.

  • @tharinduabeysinghe3126
    @tharinduabeysinghe3126 6 ปีที่แล้ว +2

    Thank you for the explanation. This is so helpful..!

  • @amrits7939
    @amrits7939 6 ปีที่แล้ว +2

    Thank you for the helpful explanation!

  • @vansuny
    @vansuny 6 ปีที่แล้ว +5

    Can you please let us know from which book you have made notes? which book is preferable for gaining the knowledge of all this?

  • @barshalamichhane6761
    @barshalamichhane6761 4 ปีที่แล้ว +3

    mam at 5:03 video I did not understand how the variation is more in fig 2 than that in fig 1? would you please make me understand in what terms you are saying that fig 2 has more variations? In terms of distance between the data points or in terms of the distance between the projection axis and individual data point?

  • @Master_10003
    @Master_10003 7 หลายเดือนก่อน

    19:58 what is rt in these formulas?

  • @somag6810
    @somag6810 4 ปีที่แล้ว +2

    Understood the difference between PCA and LDA. Thank you Ma'm.

  • @Suharshini-Cute-Girl
    @Suharshini-Cute-Girl 4 ปีที่แล้ว +2

    wonderful lecture!

  • @ankitchoudhary197
    @ankitchoudhary197 3 ปีที่แล้ว +1

    Reconstruction with least error. Wow Mam _/\_

  • @tinkerer371
    @tinkerer371 4 ปีที่แล้ว +2

    What do you mean by "M largest eigenvectors"? Shouldn't it be the M eigenvectors corresponding to the M
    largest eigenvalues?

  • @mutiullahjamil
    @mutiullahjamil 4 ปีที่แล้ว

    Nice video. If you want to get more details then you can visit CSForum for image processing.

  • @InquisitiveDev
    @InquisitiveDev 5 ปีที่แล้ว +1

    Its a really beautiful explanation if you have a mathematics background.

    • @bhaskartripathi
      @bhaskartripathi 4 ปีที่แล้ว +1

      It still remains a beautiful explanation regardless of listener's background

  • @abderrahmanebououden5173
    @abderrahmanebououden5173 4 ปีที่แล้ว +1

    thanks you

  • @bhupensinha3767
    @bhupensinha3767 6 ปีที่แล้ว +7

    Theoretical... Intuitive part is missing

  • @NROBBISAIJYOTSHNA
    @NROBBISAIJYOTSHNA 4 ปีที่แล้ว +1

    Man your vedios are nice but your voice is not audible.

  • @sankalpietechtips
    @sankalpietechtips ปีที่แล้ว +1

    Bhai bot ganda padhaya, kisi ki baaton par mat jao. Mahendra huddar se padh lo

  • @tapanjeetroy8266
    @tapanjeetroy8266 6 ปีที่แล้ว +4

    You really need to improve the quality of teaching..its really worse

    • @makdz4024
      @makdz4024 5 ปีที่แล้ว +4

      well, rather than posting your view about her 'quality of teaching', you try to do the same with different language than yours ^^ ! (don't forget to record yourself and upload it here).

    • @eliseumds
      @eliseumds 5 ปีที่แล้ว +12

      It's clearly not a class for everyone, and it doesn't need to be. I'm a Brazilian watching from Australia and it has been helpful to me.