The Easy Trick to Understand any Data Science Formula

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  • Опубликовано: 4 ноя 2024

Комментарии • 13

  • @davidandai_w412
    @davidandai_w412 10 месяцев назад +4

    Thank you so much. I'm really gaining a different perspective on DS every time I watch your videos.

  • @GoshyTV
    @GoshyTV 8 месяцев назад

    I just watched all videos in the Data Science:Basics playlist and I just wanted to say Thank You! As someone who came from pure computer science and now has to learn basically everything about data science and statistics for robotics applications your videos helped me a lot with gaining a better intuition for all those concepts and being more comfortable with strange formulas that are trivial to professors 😂 I really like the approach of explaining formulas bottom-up as they only make sense like that and even more I like the speed and momentum of the videos. So Thank You ! I am sure this channel will blow up eventually:)

  • @anindyab
    @anindyab 7 месяцев назад +1

    This was a very interesting video. Thanks for this. I have two questions:
    1. Derivative of variance: are we assuming that the mean is population mean and changing x1 won't have an impact on the mean?
    2. Logistic: We plotted the gradient against p(x) against the gradient....how do we factor in how p(x) changes with x?

  • @asifmahmud5646
    @asifmahmud5646 11 месяцев назад +4

    Thank you for articulating this beautifully.

    • @ritvikmath
      @ritvikmath  11 месяцев назад +1

      Glad you enjoyed it!

  • @pypypy4228
    @pypypy4228 10 месяцев назад +1

    This is brilliant, to say the least. You'll not find this in textbooks

  • @Pedritox0953
    @Pedritox0953 10 месяцев назад

    Great video!

    • @ritvikmath
      @ritvikmath  10 месяцев назад

      Glad you enjoyed it

  • @JBB1970
    @JBB1970 10 месяцев назад

    This is excellent. Thank you! I was trying to work this out for a few things today, one of those being variance. Very helpful. Thank you!

  • @animeshkumar1684
    @animeshkumar1684 11 месяцев назад +2

    This is super helpful, thx!