In this video I explain what the multivariate normal distribution (or the multivariate gaussian distribution) is, together with the meaning behind the equation that describes its behavior.
*Related Videos*
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Gaussian Mixture Models (GMM) Explained:
https://youtu.be/wT2yLNUfyoM
Estimated Calibration Error Explained:
https://youtu.be/NDY2fH1FitQ
The Bessel's Correction Explained:
https://youtu.be/E3_408q1mjo
Gradient Boosting with Regression Trees Explained:
https://youtu.be/lOwsMpdjxog
*Important Notes*
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At
03:22 I forgot to add the dx to the integral... Whoopsie!
*References*
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Exponential function:
https://www.youtube.com/watch?v=6WMZ7J0wwMI&ab_channel=KhanAcademy
Deterimant:
https://www.youtube.com/watch?v=Ip3X9LOh2dk&ab_channel=3Blue1Brown
Covariance Matrix: https://datascienceplus.com/understanding-the-covariance-matrix/
*Contents*
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00:00 - Intro
00:18 - Exponential Functions
01:45 - Mean and Standard Deviation
02:40 - Finals Steps in Obtaining Normal Equation for 1-D
04:02 - Normalizing Term - Multivariate Normal Distribution
05:29 - Mean and Covariance Matrix - Multivariate Normal Distribution
06:52 - Outro
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#normaldistribution #multivariate #gaussian