Error / Loss Functions for Regression: Mean Squared Error (MSE), Mean Absolute Error (MAE), RMSE

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  • เผยแพร่เมื่อ 12 ก.ย. 2024

ความคิดเห็น • 6

  • @GregHogg
    @GregHogg  ปีที่แล้ว

    Take my courses at mlnow.ai/!

  • @Italya3343
    @Italya3343 ปีที่แล้ว +1

    Many ThanksGreg for sharing with us your AMAZING video! Best video about that subject;
    We loved the fact that you explained all 3 subjects in ONE video, so we can see the difference, also, we loved that you gave examples and diagrams with the equations, and more importantly, you explained everything step by step
    Please consider making end-to-end and step-by-step ML\DS projects with Pytorch and other visualization tools. maybe starting with the Kaggle project; Kaggle with Pyrotch (rather than Sklearn as everyone else). Thank in Advance!
    I clicked on All ads to support your amazing work brother!

    • @GregHogg
      @GregHogg  ปีที่แล้ว +1

      Thanks so much for the kind words:) and I have lots of projects including kaggle ones

  • @anooshmoutafian1586
    @anooshmoutafian1586 ปีที่แล้ว

    Great explanations! Thank you!

  • @XxdaftpunkxXjj
    @XxdaftpunkxXjj 10 หลายเดือนก่อน

    Excellent

  • @PovilasMarcinkevicius
    @PovilasMarcinkevicius 2 หลายเดือนก่อน

    Where RMSE?