Skip to content
## Posts

# 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”

### Leave a Reply

Education Transforming Lives

Copyright © 2019 Mlearn 2008 — Primer WordPress theme by GoDaddy

Nice…..hey ! How this video is created.. means by using which software…tell me..plz

WTF, horrible explanation. Literally just reading the textbook

Good one ðŸ˜†

wtf this video is so bad

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

i started rolling a joint when he said "

joint"can anyone explain at 8:14 that how that assumption works ?

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

good

From 2:19 to 2:31, the Bayes equation is read incorrectly.

Please be less "robotic" -_-

"… and

Bis called the evidence" 3:13sims vibes

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.

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 …

https://medium.com/@devendra.k.singh/how-naive-bayes-works-61687b6cecb4

THANK YOU VERY MUCH

amazing

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.

"Upon 'P' of face". Sorry, had to chuckle at that.

can you please share the link for the second part in description