video about algorithms gets recommended to everyone

A endorsed B, but B endorsed C and D. What a jerk

Very crispy introduction to Google's Page rank algorithm. I think this is one of the best explanation about Page rank algorithm. You ... Rockzzz....

Wasn't aware of such a good application of Markov chain. Great video.

Make more such videos on applied mathematics

I was legitimately sad when the video ended Great work as always❤❤

This channel is very outstanding and gives an in depth explain into a mathematics behind the algorithm

The youtube algorithm recommended a video about algorithms. The singularity is near.

I remember doing this for my Probability project on Markov Chains. I now see where it comes in handy.

I wanted to use this method for ranking characters in a video game where an "endorsement" was an indication that the character was weak to another.

Just rewatching this for the 10th time because my applications of linear algebra class is about to go over this algorithm tomorrow. I’m pretty excited.

Your explanation blew my mind. Good job.

My linear algebra teacher literally starts today's lessons speaking about it... wtf 😂

Neatly explained. Great job.

This was an amazing video. I was wondering if you can make a video on nuclear engineering. That could explain to anyone who is interested in the field what to expect. Similar to you vid on electrical engineering or civil engineering. Also thank you if your actually reading this :)

Thanks for these top notch videos that you do

I love your channel! It's the best!

Very Informative!

Thanks man. You nailed it!!

Thanks! Super helpful video

Best fricking explanation ever!!!

can you do a video about data science.I mean not as a major,just a few details about the role data scientist and what classes one should take and what to expect

Wow, this video was beautifully detailed. Great video as always.

I'm guessing 'long time' implies, as t -> infinity. is dope, very dope indeed!

OMG! So concise!

This is matrix math right

great explanation thanks

great video explain the topic clear

Great explanation & video, I'm glad YT recommended it. I'm guessing the algo did that b/c I've been watching Free Code Camp's 8hr "Graph Theory" video.

I love this channel for a reason

How weird is it that I was just about to start the chapter of Graphs in my Data Structures course and before that this video out of nowhere gets recommended to me

One of the best explanations of the Google Page Rank algorithm. Must watch video for SE webmasters.

is this one of markovs? from the looks of it, its about frequency value, as you multiply your adding one loop or one frequency, as they are all in percent form, it will eventually converge. this is good and all, but its beefy in computation, in coding terms, more computation = slower performance. I like the markov arm bandit more as they use less computation, but its more suitable for A/B testing but hey as they say there are a lot of ways to solve a problem.

that's awsome! thanks very much

In your video about the uses of matrix math, you mentioned that the eigenvectors of a markov matrix represent a "steady state" of the system. Does that mean that you could think of the matrix representing the links as a markov matrix?

I never knew I needed this

Very helpful

this channel is hecka cool

Why is there music in this video? At first I didn't pay attention to it, but around 8 minutes in, I started to wonder where's this sound coming from, took of my headphones to locate the source of distraction. But it was in the video! Couldn't keep my focus on the explanation after that, all I could hear was that disturbing music 🙄

Is Markov chain comes under Probability or Random Process ?

8:27 will it be a concern if the pagerank is still the same after a long run?

This really a CURIOSITY feast.

I love the Dexter Polytopes. The grid has a lovely place. The way the lord of the rings worked this out always amazes me.

if you transpose the matrix then you have a markov chain. is there any mathematical significance to that?

To me this sounds a lot like Deiksra an algorithum that is used in some network routing protocols, i think also used in things like GPS, etc.

what is an outgoing link? is it like a source ? what happens if there are no outgoing links?

Amazing breakdown. You've earned a subscriber

Best video on page rank algorithm.It would be better if you change the thumbnail.It would attract more viewers.

How you make this kind of animation in video. What you use for making this kind of informative videos.

I have a question if its calculating the average time spent on each sight after an infinite amount of clicking wouldnt it rate "traps" way to high? Like if I have a website A and B that only link each other and nothing else. And then I have say 10 other nodes that have a good healthy web between them. If even 1 of them links A or B then after an infinite amount of clicking one would always eventually get stuck in the ABABABAB loop so these would both get a final rank of 0.5 and all other a rank of 0 right?

very cool stuff

How often did u use chegg during ur undergrad ?

Hi would you make a video about information technology

Excellent

great video

why are using markov chains as with the probability of transition as column vectors instead of row vectors?? first time see them like this and is very confusing.

Watching your videos is like watching movies❤

Thank you, you have been so much help with my presentation

i mean BRILLIANT MAN AMAZING VIDEO

Does the limit exist only since the eigenvalue is 1?

KZfaq is now not just for entertainment. Serving as teasers for my all math courses to teach.

So elegant

The girl is mine,ours !I remember Michael Jackson and Paul Mccartney singing the Girl is mine hehrhegehegejehege !

what is the font @ 3:40

but I always type the url manually

Beautiful

But let’s talk about what the user really wants/likes, why he clicks on a link and the patterns in their clicking. (1) The value of a page is not a function of the page per se. It is a function of the page and what the person wants to do with it. A search for GPS may want to learn how they work, who sells them or what models are available. There is no single rank of a page. (2) A user clicks on a link based only on what he sees - the URL and its surrounding text. The whole point of PageRank is to not provide users with links that they find are worthless. Only after they see the page do they know that - but their click has already been counted. It is only registering the appeal of the URL and what the text surrounding it says. (3) The process of multiplying the click probability matrix repeatedly (raising it to a power) forgets that people generally click a given link only once. Whoever paid $1B for this algorithm should ask for his money back.

Sorry, but I couldn't understand it. Are A B C D are separate sites? Or one site linking pages one to another? :(

I've got a question: How many klick is one round of clicks?

This is great and amazing. I am FAN of you

Why is only matrix multiplication used here?

Are the eigenvalues imaginary in this case?

Ye, best topic

you should add background music to your video

Super video! I applauded for £50.00 👏👏👏👏

the dating example was good, you could use it more.

do a video on how KZfaq recommend algorithm works.. KZfaq algorithm will recommend it to everyone

At 7:05 he said 37.5 when he should of said 0.375.

Still unsure where you got .25 from

Dont forget the machine learning fairness AI that overrides everyone's 'biased' endorsements.

Neo agree with you, when you talk about the matrix.

Amen yes !

What exactly do you mean when websites are linked?

Isn't this a Markov Chain?

I believe Google uses Panda algorithm now, named after Navneet Panda

Am I the only one who read "RagePank" and thougt about random music ganre?

I envy mathematicians and programmers now

How do all ranks become zero when an isolated node is added into the mix?

PageRank BEST explained.

I wish I can double like this video.

U need to make a course on brilliant. Org😍😍

What you said about all ranks being 0 when one page is completely disconnected is not true though

Oh hey a stable distribution.....

First I love math ♥

You could be the next dracula

That ungrateful Bob.

That was not a eigenvector of A.

What hapen To Carlos???

Very similar to how machine learning works in a way.

In no way is this supposed to be anywhere near offensive, but with the pure black hair, the eye bags, the pale skin, and the very notable widows peak makes you look like a vampire I’m sorry if this is offensive I just can’t think of anything else when I see you Also I find your content very interesting and it’s often presented in a very nice and simple way