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

Definition of an inner and outer product of two column vectors.

[MONKEYDUDE]

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

[harsh_rana]

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

[karam]

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

[spontaneousbagpacker]

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

[danielgray]

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.

[alimurad]

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

[eric]

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?

[HeroDw-nm]

Chasnov is a really cool title for a maths teacher.

[JulieIsMe]

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?

[theman]

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

[jamessterling]

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

[sajithk]

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

[dagraves]

You are a great teacher. Totally textbook.

[kiichitakeuchi]

Your coursera course was fantastic. Thank you!

[ahmedelmattawaa]

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

[LuciaSilva-ekqr]

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

[xoppa]

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.

[kelvinmaina]

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

[hitesh_sewani]

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

[vanilin]

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.