Gaussian naive Bayes - explained with a simple example

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Gaussian naive Bayes
1. Introduction
2. Example with one variable (01:05)
3. Prior knowledge (05:51)
4. Example with two variables (07:00)
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This channel is the best. This is where I really learn Statistics.
Keep up the good work.

Daniel-nmkt
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i think this channel should get more attention
it provides the core infos in statistic with subtitle in the vid
thanks asual

好了-td
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Profam so happy I keep learning simpler methods to solve problems from u...kindly do a talk on bayesian filters and kalman filters..the very basics of the concepts

meshackamimo
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Excelente explicación, gracias por compartir tu conocimiento, me ayudo a entender mejor la relación que existe entre dos variables continuas. 👍

relegunet
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A very clear and well illustrated example and explanation. Great work!

drfknoble
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what a wonderful explanation, thank you so much!!!

jagajaga
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2:12 Why is your standard deviation for x1 = 0.61? If you sum [2.5, 2.0, 1.7, 1.4, 1.2, 0.9, 0.8] you get 10.5, then summing the squared differences gets you 0.32, then the square root of that is 0.56. I didn't get 0.61 for my standard deviation calculation of those samples.

ShalinSingh-hj
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I have never met a more goated individual.

JakubHojsan
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I get different standard deviation values, the means are in line. Great video by the way...

hubabokuti