Events and Sample Spaces - Topic 95 of Machine Learning Foundations

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  • Опубликовано: 10 сен 2024
  • #MLFoundations #Probability #MachineLearning
    In this video, we learn about some of the most fundamental atoms of probability theory: events and sample spaces.
    There are eight subjects covered comprehensively in the ML Foundations series and this video is from the fifth subject, "Probability & Information Theory". More detail about the series and all of the associated open-source code is available at github.com/jonkrohn/ML-foundations
    The playlist for the Probability subject is here: www.youtube.co....
    Jon Krohn is Chief Data Scientist at the machine learning company Nebula. He authored the book Deep Learning Illustrated, an instant #1 bestseller that was translated into seven languages. He is also the host of SuperDataScience, the industry’s most listened-to podcast. Jon is renowned for his compelling lectures, which he offers at Columbia University, New York University, leading industry conferences, and online via O'Reilly.
    More courses and content from Jon can be found at jonkrohn.com.

Комментарии • 7

  • @JonKrohnLearns
    @JonKrohnLearns  2 года назад +2

    New video... what an event! 😉

  • @shehrozeshahzad4363
    @shehrozeshahzad4363 2 года назад +2

    You crushed it Jon thanks😊!

    • @JonKrohnLearns
      @JonKrohnLearns  2 года назад

      Ah cheers, Shehroze! You're most welcome :)

  • @bonifaceokonkwo9009
    @bonifaceokonkwo9009 2 года назад

    Hello Sir, I've skim through your videos, and recently bought one of your ML course, from my observation one need to have a good knowledge about python and of it libraries before starting your ML courses right? What do you suggest i do before starting this foundation courses, do i need to learn Numpy and the rest, or can i learn it as i go through your course?
    Please i need a reply, so i can know how best to start my ML journey, I'm alittle bit confused here, thanks
    And if i need to learn something before starting your courses, please can you recommend any for me?

    • @JonKrohnLearns
      @JonKrohnLearns  2 года назад

      Hi Boniface! Check out the prerequisites section of the curriculum's GitHub repo and lemme know if that helps: github.com/jonkrohn/ML-foundations#prerequisities

  • @BloodyYTNamingNonsense
    @BloodyYTNamingNonsense 2 года назад +1

    I find it really difficult to focus on the information just because the actor they hired for the video is so distractingly attractive.

    • @JonKrohnLearns
      @JonKrohnLearns  2 года назад +1

      😂😂 somebody should starting paying this "actor" lol