video about algorithms gets recommended to everyone

@ir2001

4 жыл бұрын

Lol

@useodyseeorbitchute9450

4 жыл бұрын

Skynet would like to introduce itself...

@trash2cash337

4 жыл бұрын

algis

@CZghost

3 жыл бұрын

@J J I didn't, but I actually watch quite good amount of educational and informational videos, out of curiosity, of course, so I can totally see why it landed in my recommended section.

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....

@MykolaDolgalov

4 жыл бұрын

Don't forget to support him on Patreon.

@ViratKohli-jj3wj

3 жыл бұрын

@@MykolaDolgalov yesssss

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

@creativeprocessingunitmk1587

4 жыл бұрын

Purbesh Mitra beat me to it

@ireallyhatemakingupnamesfo1758

3 жыл бұрын

Looks like *Somebody* just took linear algebra Me too bud

Make more such videos on applied mathematics

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

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

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.

@dhiraj9599

4 жыл бұрын

Good idea

@Brettlaken

4 жыл бұрын

Wait this would be the number 1 way to do tier lists. Damn man thanks for the idea. Imma start doing that right now.

@mesplin3

4 жыл бұрын

@@Brettlaken thanks.

@ericb.4385

3 жыл бұрын

not sure whether this does work. There will always be a character/person who endorse noone. But in the limit it will be ranked 100% then and the rest 0 I guess.

@mesplin3

3 жыл бұрын

@@ericb.4385 if a character doesn't "endorse" any other character, then that would imply that they don't have a weakness. If that is true, then everybody should pick that character to win.

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

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

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.

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

@ir2001

4 жыл бұрын

Alessandro # You have such nice teachers

@nicholasleclerc1583

4 жыл бұрын

Alessandro # I’ll do you one better : I just fucking read this EXACT, IDENTICAL example of linear algebra applied to real life IN A PAPER BOOK *yesterday* , and then I have this video recommended, from this channel that I’ve subscribed to a while ago; what the fuck ?

@alessandromestri9004

4 жыл бұрын

@@nicholasleclerc1583 probably majorprep during his degree in engineering developed some sort of psychic power lol

@nicholasleclerc1583

4 жыл бұрын

@@alessandromestri9004 Hehe, more like hy majored in supernatural arts or smth like that

Your explanation blew my mind. Good job.

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

This is matrix math right

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

I love your channel! It's the best!

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

Thanks man. You nailed it!!

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

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

Thanks! Super helpful video

Best fricking explanation ever!!!

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.

@forbiddenbox

Жыл бұрын

Wait what??? Ima check that out ASAP

OMG! So concise!

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

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 🙄

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?

@zachstar

4 жыл бұрын

Exactly. And the final ranks would be the eigenvector of that matrix.

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.

great explanation thanks

Very Informative!

great video explain the topic clear

I never knew I needed this

I love this channel for a reason

that's awsome! thanks very much

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

Very helpful

this channel is hecka cool

Is Markov chain comes under Probability or Random Process ?

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.

This really a CURIOSITY feast.

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

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?

@SteveMayne

11 ай бұрын

Don't forget that each website starts with a probability of (1/[the total number of websites]) which means they'll start, and remain, low probability.

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

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

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

Hi would you make a video about information technology

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.

but I always type the url manually

Amazing breakdown. You've earned a subscriber

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.

@parthsavyasachi9348

4 жыл бұрын

I think it is to do with linear solver (some version of gmres) that will be used to rank.

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

very cool stuff

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

Why is only matrix multiplication used here?

Does the limit exist only since the eigenvalue is 1?

what is the font @ 3:40

So elegant

How often did u use chegg during ur undergrad ?

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

great video

Excellent

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

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

@arnavjindal3021

3 жыл бұрын

He also said "Percent" with 37.5.

I envy mathematicians and programmers now

@ryansymons8915

4 жыл бұрын

at least you get to sleep

Watching your videos is like watching movies❤

Ye, best topic

Amen yes !

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

Are the eigenvalues imaginary in this case?

This is great and amazing. I am FAN of you

@MykolaDolgalov

4 жыл бұрын

There is a way to show your appreciation - Patreon, 1 dollar per month is not that much for you, but those add up for Zach

Still unsure where you got .25 from

i mean BRILLIANT MAN AMAZING VIDEO

Beautiful

Isn't this a Markov Chain?

@zachstar

4 жыл бұрын

Yes it is.

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

you should add background music to your video

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

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

@zachstar

4 жыл бұрын

If a node is isolated then all entries in one of the columns of the matrix become zero (it's no longer a markov matrix). If you raise that matrix to a large power then its entries go to zero which means the ranks do as well.

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

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

What exactly do you mean when websites are linked?

@ideamiles2318

Жыл бұрын

You know, hyper-linked--the web links you click or tap on to take you to other web pages.

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

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

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

PageRank BEST explained.

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

I wish I can double like this video.

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

@zachstar

4 жыл бұрын

Using the exact algorithm I mentioned it would be. Of course that’s not how it really works and I was just saying how the video doesn’t mention how that’s accounted for.

@konradkleinberg6824

4 жыл бұрын

@@zachstar I mean if A is somehow a nilpotent matrix the ranks would go to zero. However in a general case with an isolated node that would, like shown, result in a row and column with only zeros. This doesnt have to be a nilpotent matrix. Or plays the fact that there is no self linking allowed a role such that the matrix ist nilpotent ?

@hacker2ish

4 жыл бұрын

@@zachstar But that's what I'm saying that using the exact algorithm not all ranks will be 0, just the rank of the disconnected node, and the ranks of the other ones will add up to less than 1 but not 0.

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

First I love math ♥

That ungrateful Bob.

That was not a eigenvector of A.

You could be the next dracula

Oh hey a stable distribution.....

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

What hapen To Carlos???

Thanks god