Eigenvectors and eigenvalues - simply explained
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- Опубликовано: 31 янв 2021
- See all my videos at www.tilestats.com/
In this video, we will have a look at the basics of eigenvectors and eigenvalues and try to understand what they are. We will also see how eigenvectors can be normalized to unit length.
Absolutely marvellous lecture! Never heard a lecture of this quality and clarity with absolutely the right speed. Taken me five decades to understand these terms! Thank you!
I wish all RUclips channels would teach so concisely and easy to understand as you.
Great. After wandering through hundreds of video now I know what an Eigen vector and Eigen value is👍
this channel should be over 1 million subscribers. Its contents are far better than 99% of the youtube maths and ML contents
straight forward explanation. Thank you! I don't know why all the other videos on this topic have to make things so overcomplicated.
This is the best lecture on eigenvectors and eigenvalues. I now have a good basic understanding of what these are. Thank you so much sir
The best explanation I got from this channel regarding Eigen vectors and Eigen values and orthogonal eigen vectors. Thanks a ton
I absolutely love this channel. The explanations are so clear that I understand every bit of this complex topic
Excellent, the approach, the pace, the details!
This the most clear and simple demo I have seen.. thank you very much.
This important topic has been eluding me for several years. But this video made it clear about the concept with appropriate examples. ❤❤❤❤
The best training of Eigenvectors
Great explanation about eigenvectors and eigenvalues! My favorite one! Thank you very much! :))))
You are an amazing teacher, thanks.
What an excellent description of things. Hats off to you.
Thank you!
You are amazing. All my life I've been fearful of this topic, but I totally get it now. What I really like is the fact that you use a very simple data table to show things in concrete terms, and you work through the example using that table. Thank you so very much!!
awesome teaching skill..thank you so much boss
Awesome explanation 👍 Eigenvector vs eigenvalue.
Great explanation, really helpful for beginners..thank you so much!!
Thank you!
excellent series.
Simple and easy video on eigen values and eigen vectors
Splendid. Thank you.
Thank you!
very well explained
Absolutely ❤❤❤❤
Thanks!!
Good explanation
bro, great job, love the way you explain things. You might see this comment copied and pasted across few of your other videos, I am just doing this for the algorithm.
Thank you!
Thanks
This explanation is super sweet and i have seen it couple of times on other webs and channels. But when i see applications of SVD , PCA or face recognition that intuition about "stretched and not rotated" or "its just a multiple of vector" is lost somewhere. Or how that is has to do with determinant = 0 ?
Yes, the math behind PCA is not easy. However, the purpose of this video is to introduce the students about eigenvectors before they watch my videos about PCA. I would recommend that you watch my videos about multivariate statistics in order at my homepage:
www.tilestats.com/
great
Thank you for that great video! I wonder if we can calculate eigenvalues and eigenvectors with a 3x2 matrix.
No, it has to be a square matrix.
@@tilestats Thank you for your response. So, can we not use canonical correlation analysis for a n-by-5 matrix?
Sure, because you compute the eigenvectors on the covariance matrix, which is a square matrix:
ruclips.net/video/2tUuyWTtPqM/видео.html
@@tilestatsThank you!
Hi， I was just confused about why n*n matrix have n eigenvector and eigenvalues
It has to do with the degree of the polynomial in the calculations. For example, a two-by-two matrix results in a degree of 2, which can result in a maximum of two roots. In the next video, I show how the polynomial is generated in the calculations:
ruclips.net/video/JtcNe--fsyA/видео.html
How can i download the slides
www.tilestats.com/shop/