Naive Bayes Theorem | Introduction to Naive Bayes Theorem | Machine Learning Classification

21 thoughts on “Naive Bayes Theorem | Introduction to Naive Bayes Theorem | Machine Learning Classification”

  1. hey guys i found this interesting video which explains this topic in quite good manner have a look https://youtu.be/Zt83JnjD8zg

  2. Honestly, I think this video is decent but there's some errors in your terminology at certain points. Others have mentioned the errors, but another, not mentioned is at 3:35, you say "Posterior Prior Probability" instead of "proposition prior probability".
    But yeah, decent video. Thanks for the example

  3. 6:30 until this equation I could still follow, everything after that I didn't really get. But I guess the base equaiton is enough to understand what is happening.

  4. At 2:32 you say that P(A|B) represents the probability of B given A. Shouldn't it be the other way round? The second event in P(A|B) is actually what you have given …

  5. I think there's mistake on slide.
    in the Bayes Theorem statement.
    please correct it with some annotation.
    First line in the statement should be `probability of the event A given B` and not `probability of the event B given A`.

    Let me know If I'm wrong.

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