Multivariate Gaussian distribution

[mohammedghouse]

Best explanation of Multivariate Gaussian distribution I've seen so far. Hats off to you!

[fa]

They say you don't understand something very well until you are able to simplify it. Well done!

[sinaasadiyan]

Great explanation
Simple, not fast, straight to the point
Why can't others do this?

[M-]

This is the first time to understand the covariance matrix! Thanks a lot for your time and effort!

[iamwnderer]

This was the most helpful and concise explanation I could find on YouTube. Thanks a lot! ❤

[FernandoFerrariFernandes]

One of the best videos I've seen about multivariate gaussian distribution. Thank you!

[anshulnayak]

Best explanation with examples for multivariate gaussian

[gordongoodwin]

Best explanation period. First one that made me understand the covariance matrix in the mvn

[markraya]

This explanation is amazing! Very clear 2D example which helps me conceptualize the Gaussian distribution in greater than 2 dimension. Thank you so much!

[Dan-vqnv]

Really clear and simple demonstrations. Thank you!

[Martin-qbmw]

Very clear thanks a lot. I've seen this multi variate Guassians in my Bayesian ML course for a month now and I had no idea what the parameters do or how to visualise them. This video helped a lot.

[T_rex-teus]

Very nice visual explaination. Thank you so much!

[spyhunter]

In the formula at the minute 1.00, when you find the inverse of a Sigma matrix in the exp(...), do you use unit matrix method, any coding, or some other method? Cheers.

[saiharshan]

thats great explaination. people show formulas which scare me!!
ty

[exxodas]

You’re absolutely incredible I have yet to see a better vid in this subject

[yungwaichan]

Really nice explanation, and in just 5 mins!

[kaganozdemir]

perfect, to the point and explains the intuition. thank you!

[spyhunter]

Do you have an example of multivariate Gaussian with data set, for instance, thousands of values? I mean I have a histogram shaped like Gaussian, and it shows channel number on x axis and corresponding counts per channel on Y axis. How should be the equation? Can you refer Me a link or a book?

[spyhunter]

I'd like to know how you call your x value for univariate case or x value set for multivariate case in your Gaussian distribuitons? Do you name them as "data set" or " variable set"? Also, what makes the mean value size same as the x data size? Thanks in advance. Should we think that we create a new mean average for every added x data point in our data set? That's why we average them when we find the best estimated value in the end.

[anwmus]

Thank you very much for this explanation!