The Machine Learning School program

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  • Опубликовано: 29 июн 2024
  • I run the Machine Learning School program: www.ml.school.
    Many people know how to train Machine Learning models, but unfortunately, this represents around 5% of the code of an end-to-end system.
    This program will show you the other 95% and help you understand Machine Learning systems as a whole.
    You can join the program here: www.ml.school.
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Комментарии • 22

  • @amnn8507
    @amnn8507 9 месяцев назад +4

    Hi Santiago, I am considering registering for your ML school and was wondering if there is a possibility of a free trial, perhaps even for just one session, to determine if this suits me. Is that possible?

  • @ericsalesdeandrade9420
    @ericsalesdeandrade9420 9 месяцев назад +2

    Hi Santiago, looks very interesting. Any plans to include more content related to deploying LLMs into production and monitoring performance?

  • @jaggyjut
    @jaggyjut 5 месяцев назад

    This is awesome. Does the course cover how to apply the models with Front end applications built in React or Streamlit

  • @lakeguy65616
    @lakeguy65616 Год назад +3

    I'd like to see videos just about inference.

  • @hahuyhung5248
    @hahuyhung5248 7 месяцев назад +1

    Can I apply the system using Azure Machine Learning Service?

  • @gouthamansaravanan8428
    @gouthamansaravanan8428 11 месяцев назад

    how long will i have access to the videos

  • @AdarshKumar-sj5dn
    @AdarshKumar-sj5dn 5 месяцев назад

    Hi Santiago, when the new batch will start?

  • @tapgaze7016
    @tapgaze7016 11 месяцев назад +6

    Hello @Underfitted I am considering your course but I don't see how to contact you. How many hours lecture is each class? What follows, assignments, how many? Do you provide github repos? Any useful information about your course would be a plus. thanks!

    • @tapgaze7016
      @tapgaze7016 11 месяцев назад

      And where to contact you to ask questions about the course please

  • @user-jc3ys1yc2n
    @user-jc3ys1yc2n Год назад +6

    So you’re just doing applied machine learning without theory…

    • @underfitted
      @underfitted  Год назад +4

      Not exactly. There is a lot of theory in the course, but it’s about MLOps, not ML theory and algorithms.

  • @ackiamm
    @ackiamm Год назад

    second

  • @shivakumarpendem7871
    @shivakumarpendem7871 Год назад +1

    385?????? The what 😂😂

  • @TheScott10012
    @TheScott10012 Год назад +6

    $385??? 😂😂😂

    • @pictzone
      @pictzone Год назад +1

      i mean, he has a pretty nice domain name for the website 🤣

    • @yosauce2666
      @yosauce2666 Год назад

      At $385 this is a steal for the value you get..

    • @pictzone
      @pictzone Год назад

      @@yosauce2666 i guess you're right.. although i feel going through a few different udemy courses on these topics might provide you with the same amount of skill for much less $$. but i do agree that someone like him that gives you laser focused info on the subject is VERY valuable

    • @underfitted
      @underfitted  Год назад +16

      Everything you want is online somewhere. Everything I learned over these 20 years came from somewhere.
      I don’t have any unique information to teach. I do have experience, and put a lot of work to help everyone in the community. That’s where the value is.

    • @pictzone
      @pictzone Год назад +1

      @@underfitted the value you provide for free is very good so i'm sure the value of this premium experience is insane. to be honest, i'm not exactly in the right target audience to be willing to pay your price, but if i were, 385$ is nothing for how much you could boost such a person's career (centered around this specific MLOps path)
      nevertheless, if i get more time and money i will consider purchasing the course just to get exposed to new information. i'm a web developer and i always love exploring new areas, but right now i'm working on my own startup and i'm very selective with how i spend my limited learning time. hopefully i will get the chance to buy it soon though.