Brilliant, you explained something my lecturer and about 5 other websites couldn't in plain clear terms. Thank you.

@NormalizedNerd

3 жыл бұрын

Happy to help :D

@PunmasterSTP

Жыл бұрын

I just came across and was curious. How’d the rest of your class go?

@krmt

Жыл бұрын

@@PunmasterSTP Thanks for asking, not great unfortunately so I pulled out. I think the course plan was very well thought out but the teaching was really lacking when trying to explain some new and difficult concepts. I'll look for other paths for learning this topic.

@PunmasterSTP

Жыл бұрын

@@krmt I'm sorry to hear that, and I hope your current academic endeavors are going well.

@BadMeditator

6 ай бұрын

which course is this?

I felt as if I am watching 3Blue1Brown :)

@NormalizedNerd

4 жыл бұрын

Thanks for the complement :D :D

@jameslannister3743

3 жыл бұрын

3Blue1Brown -> the ultimate Indian theme XD

@bhargavartworks

3 жыл бұрын

yeah that's what is was also thinking

@kmishy

3 жыл бұрын

same here guys

Thank you! I'm just starting linear algebra, and this helped me understand/visualize what's going on with norms much better. Loved it!

It was such a rewarding 5 mins watching this video. Please keep them coming.🔥

short crisp and rich of information that's rare nowadays on youtube

@NormalizedNerd

3 жыл бұрын

Thanks man!

@romanemul1

3 жыл бұрын

Its not. You have to search little bit.

Im taking my first fundamental analysis class and its kicking my ass. This video cleared up 90% of my confusion about wtf a norm was. Youre doing a good thing, keep doing it, I hope you sleep amazing tonight!

@yatheshtpoonia9225

Ай бұрын

sleep amazing, thats a rare but important one

the dynamic change really helps a lot!! thanks

Great, as always. Keep'em coming!

@NormalizedNerd

4 жыл бұрын

Thanks, will do!

Thank you for the quick and effective explanation of norm.

Great and intuitive explanation with a very clear visualization. Thanks for your effort. but I would like to pay your attention to the little mistake in the part of MSE where the L2 norm should represent the RMSE not MSE with no root. keep going.

@finalpurez

Жыл бұрын

I was rather confused when he mentioned mean squared errror until I saw your comments. Thanks for the clarification!

Great explanation, thank you so much for the video.

wonderfully explained. I appreciated it a lot.

Norm in machine? More like “Natural explanation that’s just the thing!” Thanks for sharing. 👍

Love the energy in your voice!

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Thank you so much, you explanation makes it so much easier to grasp

@NormalizedNerd

3 жыл бұрын

Glad it was helpful :D

Thank you so much for this!!

This is great! Thank you!

now it makes sense. Maraming salamat po.

Good Explanation.Thank you

Really good. Thanks !! 🔥

Great thanks! Do we have to go through the center to measure the distance between the two points? In Euclidean distance, for example, aren’t we measuring the distance through the hypotenuse? After we got the lengths of the two lines from the center?

|x^n| + |y^n| = 1 1 = 1/(x^n + y^n) if n --> inf then either x = + or -1 or y = + or -1 for the equality to hold which gives us a square

Thanks for the video, theses 5 minutes cleared up doubts that i had accumulated over 5 lectures haha

wow, it's that simple! thank you!!!!

Great Video, simple and informative explanation.

@NormalizedNerd

3 жыл бұрын

Thank you!

Wait, isn't it RMSE, and not MSE, that uses l2 norm? Because in MSE we are not taking a square root after we sum the squared elements of Y-Y_pred vector, which is done when calculating l2 norm

@donfeto7636

Жыл бұрын

You're Goddamn Right

It's RMSE(Root Means Squared Error) corresponding to L2 Norm not MSE (Mean Squared Error). At 4:09 the equation should not be powered up to square should not be there...

@donfeto7636

Жыл бұрын

You're Goddamn Right

Thanks man. Just had a class where I got lost what norms were. The college education system is broken. You guys are the saviours.

perfect explanation. thanks so much!

@NormalizedNerd

2 жыл бұрын

Glad it was helpful!

Thanks very clear

Good job man

Great. Nice explantion

@NormalizedNerd

3 жыл бұрын

Thanks man!

a quality education thank u

great sir

You're putting the "brown" in 3Blue1Brown 🙂

Lacking of words just amazing 😃

@NormalizedNerd

3 жыл бұрын

Thank you so much :)

Thanks, Amazing video and mainly Animations (Are you using Manim ?)

@NormalizedNerd

3 жыл бұрын

Yeah...😌

This was really good. ❤❤

@NormalizedNerd

4 жыл бұрын

Thanks :D

Thanks sir 🙏🏼

THANK YOU SO MUCH!!!

@NormalizedNerd

3 жыл бұрын

Welcome :)

Really good man, thanks

@NormalizedNerd

3 жыл бұрын

Thanks man!

great video. amazing explanation may i please ask that you remove the social tags you included in the top left? it's extremely distracting

Great job. Love manim

@NormalizedNerd

4 жыл бұрын

Manim ❤️

most underrated video in math youtube

@NormalizedNerd

Жыл бұрын

Thanks!

Great!

thanks. could you please tell me what is the name of the program you made this video.

WHAT SOWFWARE USE TO ANIMATE THE VIDEO?

Love you. You deserve a place in heaven

@NormalizedNerd

3 жыл бұрын

Thanks for your kind words ❤️

You're a saint, thank you

Nice video, I am a little confused how L2 norm and mean are related. I see that L2 norm and mean (not mean error) are exactly the same. Does that imply L2 norm's other name is mean ?

Can you do a video on Gaussian naive bayes.

@NormalizedNerd

3 жыл бұрын

Thanks for the suggestion...I'll try to make one.

Amazing!

@NormalizedNerd

3 жыл бұрын

Thank you!!

This is an insanely concise and informative video I found not just the information I was looking for but also other information I didn't know I needed as well. I disagree with VEERARAGHAVAN J, this is better than 3Blue1Brown

@NormalizedNerd

3 жыл бұрын

Thank you so much buddy :D :D

Genious

Nice, may I ask you what you use to create animations? :)

@NormalizedNerd

3 жыл бұрын

I use manim (open source python library)

@marcocanil4147

3 жыл бұрын

@@NormalizedNerd ok, thank you very much :)

@kmishy

3 жыл бұрын

@@marcocanil4147 I was thinking Manim is a software. But I was amazed to see you are using python library

Can you share resources to where I can learn about L(inf) norms?

@NormalizedNerd

3 жыл бұрын

Well, it's actually pretty easy to see... L_n = (X_1^n + X_2^n + ... + X_k^n)^(1/n) When n -> inf, X_max^n >> all the other terms. And that is the reason why we only get X_max when we take the nth root.

@shubhpachchigar1457

3 жыл бұрын

@@NormalizedNerd yes exactly

What is the name of the piano piece at 3:03 min mark? Thanks.

@bhavyakukkar

10 ай бұрын

'No. 10 - A New Beginning' by Esther Abrami, part of the KZread Audio Library

Wow you have opened my eyes to the truth

@NormalizedNerd

3 жыл бұрын

Glad to help :)

what do you mean by "every point on the circumference of the square is a vector with l1 =1" ? Do you mean the perimeter of the square ? at kzread.info/dash/bejne/eJ2H25izh6fMmaQ.html

Please make video on manim. How to use it? No good tutorials out there.

@NormalizedNerd

3 жыл бұрын

Many people are already doing that. Check these out: Theorem of Beethoven (YT channel) Talking Physics (Blog) eulertour.com r/manim

Great !!! Keep going !)

@NormalizedNerd

3 жыл бұрын

Keep supporting!

4:03 L2 is RMSE not MSE

I like this video

👍

500th like! first time the ridge and lasso ambiguity got cleared, once for all

@NormalizedNerd

2 жыл бұрын

Glad it helped!!

nice brother

@NormalizedNerd

3 жыл бұрын

Thanks a lot

hellow people from the future this video really really ehlped

so high quality stuff, feels illegal to watch free

I from from year 2022

Great video, this guy is probably 3brown1blue. You know, cause Indian people have mostly brown eyes :v

@NormalizedNerd

3 жыл бұрын

Haha...nice one!

Hold onto your hats, here's important refund info

Damn top right corner. So annoying

sorry but i did not understand anything.

3:58 what is the maximum of the vector 😊

👍