Multivariate probability density, contour plot EDA Lecture 14@Applied AI Course

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Комментарии
Автор

The best explanation I found on this topic. No fancy equations, or formulas; a very intuitive approach to the plot. This video deserves much more views

Keep up the good work!

shivamtyagi
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This is a great explanation of how kde bivariate plots works. Intuitively, you can guess what the figure tells you, but this video tells why so nicely!

andreitrofin
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Loved the video and your intonation as you speak.

abhilashgeesala
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Is it possible to get the information on the contour area ? What I mean is after computing the probability density function of a 2D gaussian distribution, the hill will be in the third dimension, Can I get the values of the projection of this (till 3 sigma values of the variables) ?

snesh
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The explanation makes sense! However, do you have any idea how to implement a Contour pdf? You just explained a simple statement for 8:37!

tompower
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Hey, great video! Can you share the ipynb that you used? Thanks.

suryakantismce
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Where I can find tutorial about PMF

BlueSkyGoldSun
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Cheating :( You never got to plotting a 3 variable or 4 variable PDF

sashibezawada