Why Data Science Skill-Building Might Be Holding You Back | CareerCon 2019 | Kaggle

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  • Опубликовано: 11 ноя 2024

Комментарии • 23

  • @AllieZhao
    @AllieZhao 4 года назад +32

    After years as software engineer, I truly agree that iteratively build your skills by practicing and learn theoretically works best. So do it first, do not waste too much time in learning too much stuff.

  • @PasanJayaweeraYashoda
    @PasanJayaweeraYashoda 3 года назад +2

    I'm currently also struggling to get out of the long term lee mindset ( completed ton of online courses on data science, machine learning)! Thank you for helping me clear my doubts! I will start doing things without focus time on learning from now on..

  • @Kingstanding23
    @Kingstanding23 3 года назад +13

    Thank you for your application.
    Unfortunately, despite meeting every single criteria listed on our job spec, having a PhD, plus 20 years of industrial experience, we decided to go with someone who more closely matches the skills needed.

    • @idea_yahya
      @idea_yahya 3 года назад +2

      I got similar respond lol

    • @ttominable
      @ttominable 2 года назад

      you dont want to work for that company then, its as simple as dating, you wouldnt date someone who doesnt know your worth right?, so dont work for companies who dont either

  • @effemmkay
    @effemmkay 4 года назад +16

    I thought I was hopeless but now I think maybe I am long term Lee. Rejections from everywhere is my life story right now.

  • @arnoudspammer
    @arnoudspammer 5 лет назад +12

    This is true gold

  • @marco_gorelli
    @marco_gorelli 5 лет назад +4

    Been waiting for this for a while, thank you so much for posting!

  • @reasoning9273
    @reasoning9273 2 года назад

    Great talk. I think it is asscoiated with how human learn things. We learn the best by facing problems and dealing with them. And we do better so with supporting group around.

  • @cheekonglim5522
    @cheekonglim5522 4 года назад

    The Yellow Scarf Technique - brand positioning.

  • @masum.rumi7
    @masum.rumi7 5 лет назад +6

    Oh God!! I am like Lee Squared :(

  • @carolwhaleyaddassi6167
    @carolwhaleyaddassi6167 3 года назад

    Super useful. Thank you!!

  • @M8B2L8
    @M8B2L8 4 года назад +2

    Can someone explain the target leakage puzzle please

    • @yashsandansing9341
      @yashsandansing9341 4 года назад

      target leakage is basically using a feature (input) that was determined after logging the label (output). This would just imply a very high correlation between that feature and label and would imply a leakage of information while predicting the same.

  • @robdunsmuir348
    @robdunsmuir348 3 года назад

    Dan mentions in the question period ‘’mooks’? Are free - could you please clarify

  • @justbegin5923
    @justbegin5923 3 года назад

    can somebody recommend some project to work on data science

  • @TheExceptionalState
    @TheExceptionalState 4 года назад

    Thank you so much for your insights

  • @ufukdemiray6176
    @ufukdemiray6176 2 года назад

    wish i watched this a year ago so i wouldn't be that lee you know :D thanks for the insights

  • @mohaktrivedi9591
    @mohaktrivedi9591 4 года назад

    Lee