CS7641: Machine Learning Course Review (pt.1/2)

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  • เผยแพร่เมื่อ 17 ม.ค. 2025

ความคิดเห็น • 11

  • @miloszbis9636
    @miloszbis9636 3 ปีที่แล้ว +2

    Absolutely love your videos bro

  • @antoniozeus4
    @antoniozeus4 3 ปีที่แล้ว +2

    Great video. I definitely agree that this class could have been split between Supervised and Unsupervised Learning classes. I would have loved getting more in depth on the topics.

  • @techwitheds
    @techwitheds 3 ปีที่แล้ว +2

    Thanks for making this video. I am a computing system major myself. I have 2 electives left and I have been deeply thinking about taking some ML courses before graduating. That class seems to be a good one. Any advice for someone with no background in ML. I did linear algebra in undergrads. Thanks for you insight

    • @bryan_truong
      @bryan_truong  3 ปีที่แล้ว +2

      My biggest advice would be to make sure that you have a very clear schedule, since it will take up like 20+ hours a week

  • @clevo4040
    @clevo4040 2 ปีที่แล้ว +2

    I will keep a pan next to me during the midterm exam in case I need to pee when I take the class. LOL

    • @somedudeintn
      @somedudeintn 5 หลายเดือนก่อน

      Maybe I’ll sit on the toilet and take the exam with my laptop on a folding table.

    • @bryan_truong
      @bryan_truong  5 หลายเดือนก่อน

      🤣🤣🤣

  • @twotoedsleuth
    @twotoedsleuth 3 ปีที่แล้ว

    Where do you go to view course statistics shown at 11:43?

    • @bryan_truong
      @bryan_truong  3 ปีที่แล้ว +2

      Hey! GT statistics are available here (just use the filters to narrow it down to the right professor/course): lite.gatech.edu/lite_script/dashboards/grade_distribution.html

  • @bryan_truong
    @bryan_truong  3 ปีที่แล้ว +3

    Part 2/2 is available here: th-cam.com/video/BHpKeCu_N2M/w-d-xo.html