What Probability Theory Is - Topic 94 of Machine Learning Foundations

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  • Опубликовано: 10 сен 2024
  • #MLFoundations #Probability #MachineLearning
    This video is a quick introduction to what Probability Theory is!
    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 • 9

  • @prajwalmd2241
    @prajwalmd2241 8 месяцев назад +4

    Sir please complete the ML foundation Series Your Teaching is amazing !!

  • @JonKrohnLearns
    @JonKrohnLearns  2 года назад +5

    That sweet, sweet Central Limit Theorem...

    • @edwinagoi7481
      @edwinagoi7481 2 года назад +4

      Your lectures are great. They are really informative. Be blessed.

    • @JonKrohnLearns
      @JonKrohnLearns  2 года назад +3

      @@edwinagoi7481 thank you! I'm glad you're enjoying them :D

  • @RideLikeAChamp
    @RideLikeAChamp 4 месяца назад

    Hey John , undoubtedly the most amazing learning series on ML. However I have a naive question on the statement you made in this video. if we can build a model that can predict future non deterministic events based on related historical events/data using Machine Learning methods why do we need to focus on learning Probability and Statistics since you mentioned it is one of the many methods which includes Statistics and ML

  • @matthewphilip1977
    @matthewphilip1977 Год назад

    Thanks, Jon, good stuff. One question. Regards the reference to, "future non-deterministic events". How do we know there is such a thing? What if we are part of a deterministic reality? If it's determined that, for example, a coin toss will land heads up, is the actual probability for heads 1, 100%, etc, i.e, it will land heads up, there is zero chance of it landing tails up? We, given our ignorance of the future, would, understandably, think of the probability as 1/2, 50%, etc, but the probability would be 1, yeah?

  • @justsimple2223
    @justsimple2223 8 месяцев назад

    Jon, Great videos :D

  • @amitbhogal7406
    @amitbhogal7406 2 года назад

    These videos are great and informative - just as a small feedback, if you could kindly record your face a little further from the screen (and refer to your notes in your hand as opposed to eye level), it makes it a bit more natural.

    • @JonKrohnLearns
      @JonKrohnLearns  2 года назад +1

      Absolutely! Due to limitations with my current recording studio, this is the best positioning possible at the moment, but we are aware of the issue and will have a more natural setup in the future :)