Inner & outer products | Lecture 5 | Matrix Algebra for Engineers 

Find other Matrix Algebra videos in my playlist ru-vid.com/group/PLkZjai-2Jcxlg-Z1roB0pUwFU-P58tvOx

thanks sir I am from India i need to know about inner and outer multiplication during programming you helped me very well once again thank you sir

man this is quality teaching here. you my friend can call you a teacher unlike a lot of other "teachers"

This clears a lot of my doubts as I am learning SVM kernels. Thanks Jeff!!

So helpful. Thank you for making such high quality lectures available to everyone. Much appreciated.

Dont think there is a better teacher than this, thank you.

Good stuff and love the format! Thank You!

High quality lectures that are short, easy to understand, and can be applied to many situations. Thank you very much.

Clear, short and to the point. Thanks.

You are a great teacher. Totally textbook.

In this short video, very clear and helpful. Thanks a lot.

really helpful! respected prof.

Thanks for clear informative video. Helped a lot

Thanks professor- great explanation.

Your explanation was awesome Sir!....

Thanks Jeffrey I really appreicate this series. I am taking graduate level Machine Learning class and have never taken linear algebra before. I know, stupid. I tired watching 3blue1brown's series which is a short 17 lectures series that is great was very interesting but not perfect for my needs. Than I tried watching the 144 video khan series on linear algebra. I got to video 32 lol. good, but once again not perfect for my needs. Thank god I found you! Perfect for what I need right now. Thanks so much I was feeling pretty helpless until I ran into this.

Thanks....very much i have understood the concept and your video is far much clear....if possible i would like to see your videos on solving problems in linear algebra and analytical geometry if you do present thanks

It's so clear, thank you so much!

Thanks Jeff, you're amazing!!

Thanks Jeffrey!

thank you for that wonderful explanation..:D

This is such a great video thank you.

Thank you for this material, I am currently learning Matrix Factorization algo, its hard to understand it but it turn out Im just missing this fundamental concept about outer product.

Your coursera course was fantastic. Thank you!

You saved me. Thanks for the to the point video.

You’re great. Thank you!

Chasnov is a really cool title for a maths teacher.

I like your way of presentation. It's as if you are enlightening as from abyss.

Very Beautifully Explained.

Well explained, thanks!

U just wrapped it up, thanks alot

Great video. Thank you

Awesome video

Thank you very much this is very insightful and useful, are you by chance going to do algorithms?

Thank you so much.

thank you so much

Good work.

Thank-you

Thanks to the transpose operator, without qualifying further, a 'vector in R^n' is a column vector or nx1 matrix, and a 'row vector in R^n' or 1xn matrix would just be the transpose of the nx1 column vector.

Thank you so much

How do you film these videos? I assume you're not actually writing backwards. Are you filming yourself from both the back and front and then overlaying the individual videos?

Thanks a lot

Muito bom 👏👏👏

Thanks professor

Thank you so much, good man

I bought your “ Matrix Algebra for engineers” on coursera and I found it so helpful!! Thank you so much! Can you do more intermediate/advanced matrix algebra courses?

very helpful!

Great!!

Thanks!!

really helpful

Thanks🙏

super helpful

thanks!

Thanks well method

what if the transpose of V has multiple rows? How do we compute the outer product?

what is the system that you use here to explain the courses

I love how he just walks away at the end casually

Subscribed!

Thanks

more topics?

jeff bezos is that you?

thanks

what are the original and strong definition of inner product . can u guide me about this topic. sir,

cf. outer product vs. tensor product?

Did you really learn how to mirror your writing? Excellent video, thank you!

It would definitely make sense to add the norm of the inner product = ||u|| ||v|| cos(alpha), where alpha is the angle between two vectors - a simple and clear geometric interpretation.

Thank you, Jeffrey! Could you please tell us how the outer product can be helpful in ML or, at least, indicate the video where you tackle this subject?

thx

Besttt

Excellent teaching! 😂

what is that dot product tho?

How can he write it like this

I'm trying to find the meaning to the outer product, the calculation is trivial but you tease that the matrix has low dimensionality. This is what i need to know but I can go through an entire engineering course just to know this one thing when I'm not an engineer... Anyway, was an excellent lesson, thank you.

Hello from Uzbekistan

Jeffery can we apply these rules to square matrices for example? Peter

did he actually have a glass in front?

what is said in hours is said in 9 minutes! thanks

That's fine for row and column vectors, but what would be the outer product of two 2X2 matrices?

33 slides or 1 screen this is lit

why uTv becomes a 3,1 and uvT becomes a 3,3,...??

he writes backwards so well lol

Oh he is actually writing it all in mirror :)

Are you left-handed or right-handed ?

Hope, am not the only person to suddenly see Jeff Bezos, and then realised.. Good teaching

Did anyone else mishear u2 as RU-vid 😂😂

0 intuition, just formulas yet useful

One Pen Man

how this guy writes that way ????!!!!

Mmmm😊

wow, Jeff Bezos teaching math

GG

Am I the only one who thinks he that he sounds like Yondu

how tf is this man writing this? he can write backwards??

thank you jeff bezos

thanks