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You just answered my question perfectly, this was very helpful. Thank you so much!
Thank you for taking the time to coment.
thank you very much!!!! I was almost crying because I couldn't understand this and you made it seem so simple.
Just explained in 10 minutes, what my prof failed to explain in 2 hours
Glad I could help!
so simply explained and covered all important nuances to remember. thank you
Thank you!
Straight to the point, before this video i watched 4 other videos, jesus christ, thank you very much
Thank you for your comment. I hope it helps the video rise in the search algorithm. 😂
Bro clutched on my linear exam today
W about to take mine aswell
This is the best explanation to determine SVD so far in UA-cam
very true
Thank you so much, clear and concise!
Superb. Very clear and helpful. Thanks for making the effort!
Thank you. You are very welcome.
Great way to teach the concept of SVD. Thanks
Since V is 3x3 and U is 2x2, in this case could we find the SVD of A transpose, then transpose the resulting matrices to get the SVD of A, so we can work with a 2x2 instead of 3x3 matrix and save some time?
Excellent! Thanks
10:25 Sir, could you give us a more specific clue that we might end up getting "oposite unitvectors"?
thank you so much, I have an exam today
You can do it!
I thank you so much
You're welcome!
thanks
What happens if an eigenvalue is negative?
Thx bb
Niubi,bro
White Melissa Lewis Dorothy Thomas Joseph
why is the sigma matrix sum a 2x3 matrix
Sigma will always be an m by n matrix so the multiplication is possible.
You just answered my question perfectly, this was very helpful. Thank you so much!
Thank you for taking the time to coment.
thank you very much!!!! I was almost crying because I couldn't understand this and you made it seem so simple.
Just explained in 10 minutes, what my prof failed to explain in 2 hours
Glad I could help!
so simply explained and covered all important nuances to remember. thank you
Thank you!
Straight to the point, before this video i watched 4 other videos, jesus christ, thank you very much
Thank you for your comment. I hope it helps the video rise in the search algorithm. 😂
Bro clutched on my linear exam today
W about to take mine aswell
This is the best explanation to determine SVD so far in UA-cam
Thank you!
very true
Thank you so much, clear and concise!
Superb. Very clear and helpful. Thanks for making the effort!
Thank you. You are very welcome.
Great way to teach the concept of SVD. Thanks
Since V is 3x3 and U is 2x2, in this case could we find the SVD of A transpose, then transpose the resulting matrices to get the SVD of A, so we can work with a 2x2 instead of 3x3 matrix and save some time?
Excellent! Thanks
10:25 Sir, could you give us a more specific clue that we might end up getting "oposite unitvectors"?
thank you so much, I have an exam today
You can do it!
I thank you so much
Thank you!
You're welcome!
thanks
What happens if an eigenvalue is negative?
Thx bb
Niubi,bro
White Melissa Lewis Dorothy Thomas Joseph
why is the sigma matrix sum a 2x3 matrix
Sigma will always be an m by n matrix so the multiplication is possible.
Thank you!