15 Machine Learning Lessons I Wish I Knew Earlier

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  • Опубликовано: 4 ноя 2024

Комментарии • 12

  • @BenjaminKing-h6w
    @BenjaminKing-h6w 3 дня назад +1

    Thank you sir, it's rare as gold to find such an honest And useful tutorial in a "learn in just X hour" era

  • @rishitchugh1713
    @rishitchugh1713 2 дня назад +2

    THIS! I agree with all the points shared here. The model is not important, training processes remain the same. Its the data engineering and you knowing where to look and what to infer is what the company will pay you for.

  • @RolandoLopezNieto
    @RolandoLopezNieto День назад

    Excellent points every single one of them

  • @VKjkd
    @VKjkd 2 дня назад

    So glad you mentioned the math or getting basic intuition about the math involved.

  • @YousefHaidary
    @YousefHaidary 4 дня назад +2

    Great and informative video!

  • @FlotsamDM
    @FlotsamDM 4 дня назад +2

    Thanks for this! I'm currently self studying the skills needed for DS. Hoping to shift by next year.

    • @AltraPowerYT
      @AltraPowerYT 3 дня назад

      Same here

    • @tuhin1264
      @tuhin1264 3 дня назад

      @FlotsamDM
      @AltraPowerYT
      I am also self studying DS
      I would be cool if we could connect via discord or something

  • @adarshadas3037
    @adarshadas3037 2 дня назад

    what is meaning of MLops should a fresher learn MLOPS

  • @FahadKinqBtdbBs
    @FahadKinqBtdbBs 3 дня назад

    ive been watching your videos they are really helpful tho can you suggest me is dsa important for ds?

    • @tuhin1264
      @tuhin1264 3 дня назад

      In my research and what I have heard a little bit of understanding of DSA is required to be a "Good Programmer".
      We as aspiring data scientist shouldnt be unaware of concepts from branching domains.

    • @rishitchugh1713
      @rishitchugh1713 2 дня назад

      There is no correct answer to this! While in an ideal scenario it is not required, most companies still screen via DSA/ Leetcode. And knowing atleast the algorithms and what exists can lead to better intuition while programming. Note that you dont only need to build these models, you'll also need to implement them with your existing product or service. I have used data structures numerous times as an AI engineer.