who is here today with us. He is a professor and department of computer science at IIT Robert and he is one of the most, I would say at least enthusiastic faculty we have on there. How many of you have actually seen or probably one of the course called social networks that we have? Anybody here? Ok. So, social network has been a course that he has been offering the last two semesters and the coming semester we are getting two more problems. So, one is going to be a 12 week long course on Python programming. So, it is going to start from level 0 or minus 1 probably and then get you guys to actually code in Python. So, that is something that we are starting and another course on discrete mathematics that is coming up which will be followed up by a detailed course I do not know levels 0, 1, 2, 3, 4 we are probably going to go in data science. So, that will be coming in January 2019. So, he is one of the really enthusiastic why I say is because he changed our notation of how we have to create videos to. So, last year when he came if you seen our NVIDIA videos he used to do a certain method and yes that was what we are offering.  He brought in a lot of changes amongst our thing also taught us quite a few things and that is what we are having. He is also awakening the faculty at the newer IITs IIT he gave us a contract. So, faculty from there are also offering courses with us now on the NVIDIA platform. So, we are very happy to have him here with us today and he is going to take the next session. So, hello everybody. I am Suresh Chauhan, IIT Dr. My interaction with IIT Madras will be there like I come here more often than what I thought I will be this year the question that was in 2017. It started with a phone call in the middle of the hospital office. It indicated with the fact that the moment I called they said come here make sure you can offer your course. I was just contemplating on offering a course they said come and offer your course and I will say to take the happiest few moments as a teacher has been my offering the course. So, now we are you have seen as a better teacher outside your compound of your premises where you teach that because generally the saying in current I don't know there should be a school and saying in your respective language as well. It says it means the dream in fact of your house we think doesn't have medicinal values but it is there in the cookies of Himalayas we think oh this will this is going to change you for the way it can awaken the dead right. So, somehow I realized that the sort of thing is happening in the corner of the hospital where outside I sort of connect well with you. With that I sort of even experimented taking some interns and some of it we connect really well when we are the more the different distance of the intern better is the connection. So, I am more part of people from this region probably because you are far away from the place where you can plan visit there we have a very dynamic internship program over there where it is a it is a complete package rather it is a very holistic approach towards training interns which it goes more like a proper VTech program for student of module programming courses you will be taking part in a many research project and there will be a whole lot of fact curricular and co-curricular activities. So, let me jump into the decision that we will be having today I have been experimenting on giving talks on different types of topic and my observation has been the following two things that I have observed is a talk that does not involve a lot of technicalities is safe because I also tried crunching data online bringing my laptop taking data something goes wrong as you saw many things going wrong in the previous talk that is first thing and second thing is without power point slides more I am very comfortable because I remain one of my professors who would say can you use the power point the point of power is the power point when you do not use one the point of power is used but then people tend to mistake me that I am under pressure so what I do is I flash my slides first all the slides I say I am not going to use slides and then I am going to switch to the world so I will be using world completely today for the whole of today's talk I am going to keep it very very low on the technical side so you are free to ask me questions in particular in fact most of the things that I will be discussing will sort of be question problem. Let me start with a nice question try giving me an instance of let us say some data which was seemingly useless but can go to be very useless it could be anything like let's say from your life or something that you have observed so far data that you thought was useless but can go to be very useless there is no profile I think it is very useful if you are a teenager the profile is of that of the opposite gender I am sure it is very very useful something let us look at it as a gradient Facebook profile is probably somewhere here alright let us go looking it up something that you think is completely useless I think that is very useful no so ATM and all this no use in getting the data right useless for me very useful for them let us say give me an example of the data which looks like it is completely useless I am going to give you I am going to come to that level where I am going to give you an example of that data which we think is completely useless but that resulted in a 450 billion dollar industry today completely useless whatever you say is actually this part of the spectrum right any data that you think is completely useless the time of us waking up because the company is made up bought out of a team meeting point so whenever we wake up we feed the time over there and they wear it tea for us half an hour after that it is a board ok so assume you have a board time it knows you are waking up time looks like locally useful between you and the board give me some information that let us say the number of whatever you think I will still say this is somewhere in the same spectrum as Facebook other linking there is a popular group number of words in a web page sounds like I may not be able to make sense of it still I would say I would say the statistics of the kind of words used in a web page might denote the quality of the content or the grammatical prowess of the writer I would say yeah it is indeed towards the completely useless side that is probably a good example sir sometimes the number of steps taken in a day number of steps taken in a day I have to go straight so the probably denotes your fitness levels or your activity levels maybe that is correlated to your BMI and things like that maybe people who wouldn't like all the fashion stuff that came and went fit with and sub-leger might probably want to make use of that I think you want completely useless the size of my shoes that is what is that useless let's say average of that will be very useful for a shoe manufacturer I am just trying to hook up I am just practicing devil's advocacy trying to tell you that it is actually useful call it in a record call it in a record call it in a phone call call it in a group call I have a number of heads in my head there is a nice study which talks about immunity levels that are correlated to the strands in the head of a particular age I am in my 30s it may not be very relevant for me but someone in their 20s is very relevant to them more or less from the length of my job from the ground from the length of my job from the length of the job I think you are the answer I think you are a sportsman you are talking a lot about activity based things I think this is all very important maybe couple of more points waiting time in a traffic okay so let me try giving you a couple of instances one instance and a second instance it doesn't look like data but was a very powerful implication point people observed that there was no crime in New York in the late 90s and they did not know what just happened at the place there was something positive happen many people come and they take a rate negative happen people sort of run away from there or points in there there was completely zero crime in New York people were wondering why exactly was it and people had hypothesis of hypothesis some people said it's because points cops are patrolling again and again and cops said that all prisoners are behind the bars and the church goal said that it's a gold zone country and stuff like that but nobody sort of knew the exact reason and this time there was an economist who said the place and understood something is in this place when he studied criminals he observed that criminals have two properties property number one is their generally teenagers late teenagers property number two is their mostly orphans parents and he goes around searching for orphan teenagers or naturally criminals he sees that they are missing in the late 90s and he realizes it's not criminals who are missing in fact a super set of criminals which happens to be orphans who are late teenagers they are missing very important data so it's not just criminals but the two characteristics of criminals which is missing and then he observes that in the early 80s exactly in 1989 abortion was made in New York legal legal connection abortion was made legal because of which people could go and get their abortion done because any questions are otherwise it was really difficult and then assume someone had wanted pregnancy and they had to give birth to the kid and they did not take care of the kid so this data point of how we backtrack we look at two criminals criminals are orphans and teenagers do you think all of them are criminals? not really majority of them are probably and then look at what just happened to them and you arrive at a conclusion look like seemingly irrelevant data but then you reverse engineer it found the answer now coming to this how to do the second point which is in this case it was just point 1, point 2, point 3 we got an inference looking at the following fact there is so many web pages in the world a whole lot of web pages it's like finding a web page would be finding a needle in the haystack correct? how do you find what you want one beautiful method that kind of requires a quick analogy let me just help you understand the analogy well where are you all from? connection? I mean you are studying internet ok so most of you know each other? may not be let's say let's do the following experiment I will come to your college which college are you from? SLM, assume I come to your college and take a random person's phone and check his address book right? and then I take another random person and check his or her address book do you think they both will have each other's phone number? very rarely they might have yes I am in the big college probably some students right? but then I want to ask the following question do you think you might have someone's phone number on your phone book whose phone book might have this person's number? little more probably than the previous question I will put it on the next level you know what I mean next friend I will check all your entries and go to all their phones and check all their entries do you see eventually I will find this person somewhere unless this person is an introvert and doesn't have anybody's number or nobody has his number correct ok a big question that people are trying to ask is can we crawl the web? can you guess what is calling the web? calling the web is find out every single web page ever present on the web right? this looks like not possible right? what if I create a blog somewhere and nobody listens to that does not listen to the blog so the question is this assume you have a whole lot of pages I am again talking about seemingly useless data a whole lot of pages and let's say there is a page here there is a page here some page on let's say diabetes and another page on let's say bible these two are unrelated correct? there could be yet another page somewhere here on some self help ok some self help alright how do I find all possible pages so that so that the question is this if someone asks me to give them all possible information on cancer that's available online I would like to give them imagine let's say we are in the 90s early 90s there is nothing called google background right? so how would we solve this problem? firstly we should collect all the information keep it somewhere and search through it for principles correct? how do I collect all the information? like getting everybody's phone number I don't have access to it so what I do is I'll go to him take his address book look at everybody's address there go to their phone book take their addresses so on and so on and so on that's how your true color works how many true colors? so true color is basically it's an application on your phone which will show you who is calling you even if you don't have their address that's because if you have installed true color you give it the right to take all the markings from number to the names everything is there with them similarly I can probably access the entire world's phone numbers through nexus but the question is I might leave out a few people I don't know but it looks like I have a feeling that I probably can access everybody's phone numbers similarly when I in this case in case of pages if I want to get all the pages ever present on the web I go to one page and then look at the links from this page and go to those pages and look at links from those pages so on and so forth with this I will be collecting I will be collecting all the pages seemingly this is exactly analogous to your phone book links I write a block and I write a link to your block and in your block you have a link to let's say Prime Minister's page Prime Minister's page is a link to some search barrage initiative so on and so forth so we get all the possible pages I collect them, keep them now, now is a big question as to what I collected all the pages correction is done I have all the pages let's say a million in 90s if I type the word Aishwarya there what does Aishwarya mean? prosperity or fortune Aishwarya it should probably give me the meaning of the word but what exactly do people expect when they type Aishwarya obviously so they expect to see let's say a pages Aishwarya, Aishwarya, Aishwarya, Aishwarya have high grade and stuff like that back in 90s it was also popular as it was if you do deadies so how would you give me the best possible page there that you are going to look out for that's a tough problem there are such issues like Yahoo, Alta, Vesta and all what they would do is they would create huge databases of pages this is the way I told you by calling, collect them or map them on which one is better for the word cancer you will get some thousand pages which were the top 10 pages that we must be displaying this book was not really a great one what if there is a new page that comes up it's been better than these pages the question of ranking these pages came up how do you rank these pages everyone by name Ramesh you will get 200 people by name Ramesh then I want to know which Ramesh I am going to look out for Ramesh was an engineer who is a computer science who I can probably take as a student is he really good or a student the question of ranking comes here and this is again where I would say the spectrum the data of which page refers to which page is completely unique what use that could be it helps me what use is it for me to see there is a key something we are looking at your phone book I can say how many related you have how many friends you have are you an outgoing person you can say something we are looking at the reference pages across you may not be on any of the basic questions on that but this little reference to what resulted in a 4 to 3 billion dollar industry and that is what I am going to explain by now so Google the live pages have been written they were sampled then it is asked a very simple question which became a old wine in the new bottle the idea was known back in the 70s in the 50s itself then it is asked the following question beyond how these pages how do we find when someone types let's say word bank which page should display someone type aishwarya which page should they said let us try formulating the definition for popular what is popular okay so let's do my first principles what do you think is popular what do you mean by popular in English thing that is influential okay that is not an ingredient then okay so I would say someone is popular this is very true someone is popular if someone says he is popular you may not agree but you will soon agree I tell you how this very small recursive definition is used everywhere you know the definition for GNU GNU is not your mix and then there is GNU there what does that stand for GNU is not your mix it is a very recursive definition there are many definitions such abbreviations so who is popular that person who is being called popular by popular people let me write this down so a definition of popular would be what do you mean by popular let me use okay who is popular of a person I am going to define as number of people who turn this person person popular and they must be popular what do you mean by this popular again they are popular if popular people call them popular sounds like a creative definition absolutely useless the definition is what created today's Google page writing can someone try figuring out what one means by this seemingly useless definition make no sense definition no no I am okay fine so I am just talking about pages here a popular page in that page which is being pointed to by popular pages there is a very very comical cinema dialogue I am sure many of you have understood so it may get complicated there is a popular movie we have seen where Vivek the comedian someone talks to him and he says then an FDIG I don't know I don't know how the moment he says FDIG I don't know that is because if the FDG knows him he knows FDIG means what is really mutual I know you means you also know him but then later on you do the black page by saying he doesn't know me too and then he gets a slap on the rock so if FDIG knows you then you are popular you know him and you are popular means his popularity is high if let's say a VIP comes and says you are great a big way like a prime minister comes and says oh here is a student he has done so many things immediately you gain popularity because a popular figure is calling you popular but then what makes that person popular X popular because YZ have told him to be popular how can we capture this how can we use this in showing that look this page is probably more sought after than this page doesn't look like this definition will be of any help trust me this definition doesn't just help it has Google Big Cat and also if you go to Spotify or even YouTube YouTube is not a good example 45 is a good example so it has really a music recommendation guess how it recommends music so if you look at what you have what all you have heard based on that it will suggest your new song looks at me and you can write a piece of code which does exactly this but how do we ensure it is state of the art right it simply copies this this definition I will get there after 10-15 minutes and I will get to how exactly is 45 but then getting back to this let us see how this can be used to let's say show which are the pages that are I am just writing down a nice example for us to look at let me say here is an example of few pages let's say a b c d and e what are these web pages page a page b c d it is easy on your mind if you can imagine these as people then pages and a pointing to b stands for person a recommends person b and person a watches for person b so a has a link to b which means a is a web page on the web page there is a referencing to b you put a hyperlink there here is a cool page please click on the link and from b you have 1 to c from c you have 1 to let's say d and from d to c I am going to ask you a very cool question keep observing the links properly from c to a and from d to a e to a d to e and b to ok my question for you all if this is the kind of recommendation that you have who is the leader in this team are you sure how different is someone is saying b how about c and d who is more popular equally popular because c is saying b is d is good d is saying c is good they are equally popular I don't know are they differently popular can you can you rank all these notes which comes first for sure someone said b also ok let's see let me write this down someone said most of you say a I will go by majority alright next is equally if there is a tie how will you break it c and then e c and then e and then b and finally of course d ok the actual ordering that I am going to tell you very soon is a are exactly the same and then c and e are exactly the same finally it is of course d you got the first and the last right but a and b are exactly equally popular now how do we come to the metric for this how do we come to the metric sounds like it is not unique it doesn't work here right let's try to quantify a number of popular people put down this person popular I will say look at a many people are watching for him but a says b is good and b says c is good my intuition says when I say when I am popular I say he is good and he says he is good he gets good amount of your popularity and some amount of my popularity note the word good and some I say you are good you say he is good you get good amount of my popularity he gets some amount of my popularity like he grew him right he sort of is transient my popularity to him goes but it is slightly lesser than what it was for him rich dad's son and he is my friend it is very advantageous to have a rich dad's son as my friend but then the advantage he has from his dad is slightly more than the advantage I have from him as my friend so you see the the factor is trans ok the algorithm is the best part about a quick story before we go further very relevant to what we are talking in 1922 there was a very eye-opening research article written on what is called the simultaneous inventions they observed that almost 150 of the top inventions big ideas were all the simultaneous applied technology simultaneous calculus simultaneous darkness theory of evolution simultaneous roughly one year this time the television four people simultaneously invented oxygen two people simultaneously discovered right now in this case this whatever we are talking right now was available in let's say match stroke physics stroke economics long long back it's called the Markov chains how many of you heard of it it's called the Markov chains but then in the 90s a different community took a look at this problem and said how is all this problem very very easily it's very easy they give a very straightforward solution between a 5 year old can understand solution is this so whenever I come to a solution imagine not just 5 nodes but 500 nodes it will be easy on your mind to understand the doctor the algorithm is very simple it's the following put a fellow on a let's say somewhere wherever you want your choice do you observe that the figure is such that you can go from anywhere to anywhere right you can put anyone on a person on a get him drunk yes I said get him drunk he would be sloshed and you must think about he's called a drunkard's walk he probably just called a drunkard's walk also called a random walk okay so what he must do is he must start from A and go to some other node that is allowed for him to go it is a longer traffic he can go to B and then from B he can either go to E or to C from C he can go to A or to D let's say he goes to D and then from D he comes to A or E let's say he goes to A once again and then once you come to A you have to go to B always whatever comes to A goes to B and then from B he comes to E goes to A comes to B C, B, A B, E, A so on and so forth imagine 500 nodes and I am running this drunkard's walk can you guess where I am making it where am I going so imagine I am a professor I go to the lab often to see my PhD students I can give you the distribution of how many times I randomly live with the lab and how many people are there based on that probably I have an indication of who comes to lab often and who does it randomly I go and I make a note of I give one score for a person who is there the next time I come two people are there I give two points to them this is the way I mind work and I call a person and say you are always in the lab excellent things are going well for you other person who is never in the lab I say you probably are regularly in the mess but not in the lab you wake up so similarly do you see what I am getting at him another person speaking this drunkard who walks most visited node not just that whenever he goes to these nodes he makes up he increments the value of B++ every time he goes he adds plus 1 to the B he keeps doing it and finally when you observe what is the final answer the answer will be something you can do this you can run a small simulation a straight forward program will tell you that A will have 0.285 accumulation which means if A runs a million times 85,000 times it will be on A B is again another 285,000 times and then C will be so much and E will be exactly the same as C and D will be the least 85,000 if let us say he walks for a million times I am just giving you the distribution of B what is the story so far you see who is pointing to whom and then take a random walk on it and now you are able to say who is popular and who is not I will give you a nice intuition for what is happening here when you take a car and then take a random roundabout of Chennai city if you keep visiting a road very often more often than other places that road requires modern make sense right although there are several other parameters to consider but with all the parameters subtracted there is a cool way of saying how this road comes more often it should be commercially exploited rather should put a petrol pump there a hotel there and stuff like that facility location right now I have a serious question how can we use this to rank the same pages simply take what is called the web graph you see who is pointing to whom this page in my page if I have a link to your page it means I am recommending your page if the web page on white has a link to my home page and it is like I am very very very popular obscenely popular correct so you look at who is pointing to whom and keep running a random walk on it you know the net is very dynamic right some pages come some pages go but you keep walking maintain a huge list and whenever someone ties Aishwarya or let's say India you go to that page search for the word India in all these pages fit those pages which has India and then look at the run-cured walk points on these pages and sort them in depending order of the points and takes place this is precisely what Google did and the search was really really fast extremely fast it had simply whatever it Google maintained all the pages that it called which is calling even now right and then the run-cured walk index and based on that it shows the output you do that even now yes but I know this is actually the idea they have gone beyond that as well that you have heard in the previous part right they also look at people who searched for a keyword which link did they click on etc etc we can only guess we don't properly know but the fundamental idea is basically this now I want to ask more experiment before I conclude the next 10 minutes can you think of some other places where you can use this as well firstly although the data was seemingly useless which page quantity which page definitely more useless than whatever we spoke about correct and from that we garnered which page could be the most important page by looking at the seemingly useless definition of popularity for person is the number of popular people who call him popular so it matters 100 people calling me popular just 2 people calling me popular who are popular correct you now tell me if you can imagine a situation where you have a problem like this and you want to operate as in the old what is the situation so what do I how can I use this there twitter good point so you are right I will come there but twitter who follows whom is a network on that network I take random walks alright and then I show who is popular here how will that tell me whom to fans okay more guesses good I will come there more guesses if you jump up I say you have more options to choose okay so you can use this if you go for more popular let's see who is popular which one is popular exactly if you have time she is unsupervised in our college actually in our college we have to choose our teachers for every subject but we don't know the teachers by their name but our seniors know which teacher are good so they suggest us some names and we take 2 to 3 seniors which are the best teachers and this is how the entire teacher selection process you can answer there is a dark algorithm in place there there is a strange combination there and then there is a dead end who would be the next teacher for which subject and there are some teachers like they totally don't remember like if you take this your life will be good good so it may not recommend the system but then how would I run an algorithm like this so I will give you the question I have to answer give me a network a graph like this where it can run run words walk and make it what is that it is still right it is sort of similar to what he said I will come there this house 45 I will get back to you but then looking at the network and run words walk can you pick up an application I will give you I will start giving you application one by one okay so page rank is one algorithm on the web but the algorithm opened up a brand new gateway of for more thought up to the if you look at a cell in your body okay look at it what is it what is it contained cell actually has a bunch of proteins interacting with each other and the interactions if you see is actually a network which protein interacts with which protein is actually a friendship network like this inside a small cell right now if you come out with a drug which can go and attack a particular protein there is a cell attack right there dies completely if you come out with a way in which you can kill this cell other cells might get killed but how about targeting a protein there it is like a bunch of people a crowd a mob right they are creating a lot of ruckers maybe you want to go and attack a couple of people over there and console them convince them or rather get them out of the crowd and the crowd might want to be here how do you sort of this is more like a detonator and how do you switch that off correct now it is observed but in your cell a high page rank node understand what I am saying in your cell let us say you have a cancerous cell this is your cell and these are the proteins interacting with each other there will be roughly a few hundreds alright you run this page rank algorithm there you will realize that this is the most important protein now create a drug which will attack create a drug let us say which will only target at this protein correct then it is like you kill the entire cell alright so page rank of a node is known to say a lot more about the entire structure than just that node it is observed this is a plain example a huge experiment that if you look at the neurons that are firing in your brain neurons are not connected correct that neuron that fires a lot generally has a high page rank roughly the price right I cannot make a lot of work lot of work if you go and kill that it gets slightly far second example third example probably a lot of the many examples I am going to give you I have given you so far is how your spotify works spotify works that is actually the problem you have heard a bunch of music songs you have heard a few songs so on the left side I have all the people on the right side I have all the songs that you have heard so of course it is a billion dollar question of recommending which music to watch that is what Netflix does right recommending a new movie for a person more movies you watch more money they are correct which movie should I recommend you on Netflix which song should I recommend you on spotify or other music whatever let us give it a thought now again a very recursive argument you will find it whether it is a previous argument for persons popularity so let me look at this here is a bunch of people and here is a bunch of songs okay a bunch of people and a bunch of songs pretty straight forward absolutely no technicalities quite commonsensical and here is a bunch of songs and this person has heard of this song let us say he has heard of this song this song look at this and this fellow has heard of this song this song this song and some other song right commonsensically speaking here is a very trivial situation do not you think that this should be the song which should be recommended for this person these two people have heard of the same song these two people have heard of the same song bunch of songs but this fellow has heard one more song maybe that should be recommended to him now let me capture this idea in a straight forward english like statement if I listen to a song like that song and the song is being liked by me the song is like Sanskrit that is all about practice and senses the song is being liked by me this is a huge difference this is actually a huge difference you give song a few points or you can give me a few points for listening to this song I heard this song I listened to this song this song is what I heard if this is a song or on you if you are listening to a song and if you are like him then you should recommend this song for them if I have heard this song and he is like me how do you say he is like me look at the kind of songs we have heard songs will tell you who is alike that is what if it works songs will tell you who are alike have you both heard and listened to the same kind of songs then you both are alike if you both are alike if you listen to a new song that should be recommended a person is popular a popular person says you are popular pretty straight forward idea and it became a super hit algorithm it is called the hits algorithm you can go take a look at it it is called hubs and authorities where you should look at pointers from this side to this side again today a billion dollar industry called the recommender systems question on who could be your next friend that is how facebook has formed its huge infrastructure it is called link farming it should more people means what more stickers messages more your view to the monitor and more you are there means you are also adding a lot of data there and if you are making other person blind also interested everything boils down to you having a lot of friends back in the if I remember it was 18 there was a nice piece of research it said number of friends in a person can have is 130 that is called a dunburst number you can take a look d-u-n-b-a-r and that is proportionate to the co-campus size of your brain bigger the brain, more the friend smaller the brain, smaller the number of friends something called ocean people they observed it but it is completely 130 not even the minimum number of friends we have a whole lot facebook has encased on this idea of friend prediction and it shows who could be your next friends and they do it really in a way that you cannot deny flipping on it and then adding that question at least one in three you will definitely add and what the friends means more data means more distraction for distraction means you are due to the facebook as a part so the very idea of page rank let's just realize whatever we did the very idea of page rank originated from looking at what is called the so called dustbin data I call it dustbin data because how on earth did we create this data on purpose, no it just happened who links to whom I did not link on purpose I thought it would be good to put this Wikipedia page and that gave me access to all possible things all possible things, number one number two I now got all the pages I asked the question which page is important it was not for me to answer this question and then I formulated a definition we said a page is popular popular page says this page is popular and I tried formulating a mathematical problem out of it I said drunkards work helps me give points to each node and I can see which node has higher points which node has lower points I can rank all of them properly something that we all couldn't do by just taking an example every cd e we got it wrong we got it sort of messed up although we got a and e properly in between you had shuffled the order correct but the formula gave us exact answers and then we got page rank and beyond before examples where page rank would be taken to the next level all right so if you see today I would say I would easily say there are more than 100 applications of page rank even beyond whatever I said putting interaction networks or quantifying as a mathematical system or the neurons firing which has high page rank including something like text summarization give you a quick insight on this and then we will stop the talk text summarization is I want to know everything about isreagandhi what I do is I go to the news repository take everything that was ever written about isreagandhi what do I get I will take a sentence I will take a sentence I will look at all the what is called the stock words or in the small preposition etc etc I will remove all of them they don't say anything correct non-stop words non-stop words they say remove unwanted words I keep written only significant words and then I will take a sentence and another sentence and put a link if they have a few words in common I do it what did I do let me start from the beginning take all news articles of isreagandhi see them as sentence 1, sentence 2, sentence 3 or sentence 10 call them all unwanted words and then see commonalities across sentences if the commonality is more than they say 3 words I put a line between them I create a network and there I run page rank I take the top 10 rank sentences and I say this is the summary of all the news articles about our prime minister of the 17s and only 80s in the rank 17s I can summarize in just half a page when you actually had 10,000 lines of information how exactly what we learnt from page rank just run through a drunkard talk of sentences you have a very ingenious idea of ranking some top 10 sentence correct so there is also some words to learn from page rank algorithm says your popular is popular people's point to you we probably have to increase our contact by knowing who is popular and who is not and be pointed by them it also matters for people to tell you that you are popular so it generally happens if you are there is a there is a nice sacred which says with a flower even the thread enters the garland so the garland is made up of flowers flowers is what is important there but with that comes the thread because thread is associated with the garland so this association is very important if you associate with the right people even Q in number probably your page rank will be very very high okay so with this I end my talk the summary is the data that was considered seemingly useless became very very popular we do not know which data has what gold mine we just have to have a second level thought about right anyone who is interested to know the max part of this Google page rank algorithm please talk to me after the talk I can give you some thank you very much any questions? I heard a few asking questions like there is something to be clarified which we can probably ask the definition of popular he replaced the word popular any other alternative okay right people have done this work there are only crush network in the classroom they see the crushes that people have had among teenagers and there the popularity think it does not even make sense right but still you take a random walk and go as crush on who and you will see the person who has who is most important there you need not necessarily be that person with a lot of crushes people a couple of girls 40 boys have crush on these couple of girls and these two girls are crush on you so you are very popular there you see the popularity random walk will come here and then go this side correct that is a good question so popularity can in fact be replaced by either word like hatred and it is the most hated person crush network most likable person not necessarily with the incoming links but in a very different way good question you said that you know the links are like 30 million correct so why this algorithm is to get more complicated so when we get like under the same possibility how will it line up ok details very cute mathematical so it even back up there so straight forward if you have n objects taking random walk you can explore all the objects n log n time n log n is the complexity of my thought pretty straight forward quick thought n log n in n log n time you can go and find all the books firstly you find all the books secondly the idea about computer algorithm especially the applied ones is the tolerance that it has for the errors of thought I don't care if a couple of notes are removed or removed or whatever eventually I will reach all the notes but eventually it is actually straight forward n log n and when I am making a new database I am ok not being perfect there that's the idea of what is called approximation algorithm you know approximation algorithm is all about if you want to be perfect it will cost me 1 crore rupees if you can afford some 1% of imperfection it will cost you 10 rupees approximate algorithm is like that it is more like an approximation when you keep taking random walk you are not perfect there but you get to do a whole lot of things it is very less still a very good question if we take the inverse of the concept that you say about popularity is it possible to find a way for that or maybe good question that's what I was referring to as hatred network if you replace popularity by hatred you will get the most hated person hate but then there is this organization dark web the pages which are not being referenced by any pages Google will not show that up because we don't even know of its existence so there is this network probably comes under that umbrella if I am right they are isolated they are not pointing towards there is nobody points to them that is the inspiration for reservation I don't mean our system in media in general reservation if on the random walk you don't need a few nodes you don't want to take some jumps here and there you will teleport yourself vanish from a node and then appear in some other node that could be used with algorithm every now and then it vanishes and appears in some other node and then moves ahead and as it moves it also uses the typical income taxing mechanism once it has populated all the nodes with the drunkards walk points it randomly penalizes everyone by one one unit one percent of what they have accumulated takes that and distributes those points equally to all the nodes probably why we need income taxing in general in developing or slope development countries there is a lot of reservation and income taxing is very intuitively seen as an analogy in motivation one one one two three as you showed A and C are the same popularity which would be useful for how you decide that it's very unlikely even 5 nodes there was a tie if you have 500 nodes this is mostly not possible but how can you break that tie even at that level if you have some 3 nodes you will have a tie 5 nodes you will have a tie you have 5 million nodes tie is very improbable if there are only a random example then you go to western countries the verb and the noun will have similar things the only thing the link will go here while you are there for example a ball can also be a name of a person as well as a ball can also be a thing because disambiguation is a very popular concept look at the sentence I like you because you are like me the word line is used in a very different context I like you because you are like me so word disambiguation is a huge research topic it's a very good job it's disambigating what is what it's a proper noun I don't think we will face any problems but still in the common sentence there will be a like here and a like here which will be used in the same sense we all know the word love is used in many many senses so there will be some 10 foundations of word love we cannot simply say it's common and then go ahead but still this works because the mind kind of cancels out to the data expressions that's the interesting part very good question can you find the 10 in least the least popular case absolutely that I will again use that thinking whatever you said you already told me the algorithm we are taking a top view take the bottom view see in fact I want to do charity I want to give some money for some organizations I want to do the bottom ones and then help them out I am able to look at the top three in the ascending order not the descending order they are the ones which don't have visibility how will that work I take 500 notes let's do one thing I will take the railway network of India I will take the top three railway stations in India you will observe this is the place where connectivity is kind of poor you cannot reach there very well and you observe what could be the reason the population is it's a very popular city but still there are very less page lines the stations here maybe I should put a new connection here this is called link for me if you can actually do that they are doing it so a popular person says you are popular you are popular come on you call me popular touch your back it's got a link for me and who will now avoid that two blocks cannot cross link each other it can only be one way not both the ways and we can detect if someone is doing that I will help you you help me out in general the last two questions one is lower page line second one is link for me where we may have to put a new edge or remove few edges so I am available offline maybe we can take more questions


This is covering the spread part of the Fandall podcast network Full slated baseball on tap for today So we're gonna break things down and get you ready for tonight across the diamond talking about some money lines and Strikeout props for tonight that I like over at Fandall sportsbook based on my model Not a ton of baseball left to do to be to be discussed for this year So trying to finish off the year on a high note get back on track for myself personally and hopefully find some winning bets for tonight This is covering the spread right here on the Fandall podcast network and Fandall research. My name is Jim Sonnis I am a digital media managing editor for Fandall research here to take a look at tonight's MLB slate over at Fandall sportsbook and Breakdown where my models are showing value in the money line and strikeout prop markets And we'll also go back through the recommendations from last week here on the show for some soccer and some NASCAR recap What went well and what did not and what went well was all the soccer recommendations from Ed and awesome We'll talk about all that later on the first day reminder to make sure you're subscribed to covering the spread wherever you get your Podcast Austin is back with us again tomorrow. We'll talk about EPL match week number two We also had Ed on to preview the semi-finals in the women's World Cup We talked about the Sweden Spain game that went under that went down this morning He had some thoughts in Spain the final it didn't advance So you can find those thoughts from Ed in the cover in the spread podcast feed right now along with the faddle YouTube page and Over on Fandall TV plus as well It's also Dinger Tuesday over at Fandall sportsbook hit a home run with five dollar Dinger Tuesdays on Fandall sportsbook each Tuesday all customers will get five dollars and bonus bets for every home run hit By both teams when you place a twenty five dollar to hit a home run Wager on MLB games and the best part about Dinger Tuesdays is even if your bet loses Fandall will pay you five dollars for every home run There's no better place to bet America's pastime than on America's number one sportsbook head over to your Fandall account and Download the Fandall sportsbook app to pick your home right hitter must be 21 plus and president select states bonus Issued is none of the trouble bonus bets that expire seven days after receipt Max bonus twenty five dollars We're strict and apply see full terms at Fandall comm slash sportsbook Fandall was offering online sports waging in Kansas under an agreement with Kansas Star Casino LLC gambling problem call 1 800 gambler or visit Fandall comm slash RG in Arizona 1 800 next step or text next step to 533 4 2 in Connecticut 1 8 and 8 7 8 9 7777 or visit ccpg.org slash chat in Indiana 1 809 with it in Wyoming in Kansas 1 800 5 2 2 4700 in Kansas KS gambling health comm Louisiana is 1 8 7 7 7 7 7 0 stop in Massachusetts gambling helpline ma.org or call 100 3 2 7 50 50 for 24 7 support in Maryland MD gambling health org in New York 1 8 7 7 8 hope and wire text open why and it was for Virginia go to 1 800 gambler net Let's take in now to the MLB Recommendations for today over at Fandall sportsbook. I have two money lines and three strikeout props that I like as of right now Let's begin things off with the money lines. Let's talk about the Toronto Blue Jays They're currently even money at Fandall sportsbook plus 100 whereas they've shifted to minus one or five or so at most other books So getting them that even money pretty enticing They're also a value at that number by my model with win odds at 52.5 percent versus the implied odds here Which are at 50 percent? This is all because of the fact that I kind of believe in what you say Kikuchi's been doing here recently Kikuchi's been a guy who across the entire career has had decent peripherals but never came through with good results that was because he let up a lot of really hard contact and That's a skill. It is a skill to suppress our contact It was not a skill that Kikuchi used to possess But over his past 13 starts now, which is a pretty large sample Kikuchi is actually doing a good job there. His hard hit rate allowed is 36 percent with a 36 percent fly ball rate So that's a radical deviation where he was at before he's doing that while still getting strikeouts The strikeout rate is 27 percent So not surprisingly the peripherals for Kikuchi are very good He has a 3.77 skill interactive ERA, but that's not the concern the concern of Kikuchi is always translating good peripherals into good results But he actually is doing that now again It's a 13 start sample, which is not a small number, but his ERA is 2.79 So although the 2.79 is fluky that's not going to stay that low It's still really good and it's encouraging to see the results actually Match and in this case exceed the peripherals for the first time in his entire career Even if we assume that Kikuchi regresses toward the underlying numbers I think it's clear that he is a better pitcher than he was earlier on this year as He's begun to successfully suppress hard contact for the first time It is a tough match up here facing off with zack wheeler is zack wheeler a very good pitcher who's pitching well right now But with this game being in toronto, I think the jays should be favored again I haven't 52.5 percent their applied odds are 50 percent So I think the jays are a quality bet right now over at fan duel because we use a kikuchi's been doing across the past couple of months That's the first money line second money line is a lot more uncomfy and that's going to be the new york yankees taking on the atlanta braves and It is as worrisome as it may sound to bet the yankees right now and bet against the braves and it's it's really rough It stinks to bet against the braves who they are an absolute wrecking ball right now And they're also facing these seven rino who the yankees seem like they want to take out of the rotation But really can't because of injuries from nesta cortez and some other stuff So clearly this is not a oh, we got confidence and again. We're going to stick him back in the rotation It's a we got to do it because we have no one else to go to I would say though that there are some kind of similar issues with brice elder on the brave side of things He is not in pristine form right now over the past 13 starts for elder He's been using more sinkers and more sinkers is typically not a great thing because you want to limit balls and play and sinkers let up contact In those 13 starts the skill interactive era for elder is 5.15. He has a 15 strikeout rate And his results are almost just as bad 4.95 era in that time as well The issues have been more apparent for elder recently if we look even like at a smaller sample He's led a 5 plus earned runs in four of his past six starts three of those did come on the road and he's at home here tonight, but It's still concerning to see the results swing so heavily against him and for the season elder Does not have massive home road splits. So I don't think it's a concern I don't think we should toss it out just because the rough starts for him have come on the road My model has the Yankees when I was closer to 40 percent than the implied odds of 35.2 percent So I understand why the market is here because the braves are a juggernaut right now and the Yankees are not But I think it's going a bit too far given the fact that elder Is not You know some shut down guy we need to avoid by any means the Yankees offense is better now than it was before Even if it's still not perfect. So I do think the Yankees are the right side in this game So the Yankees money line plus 184 and the blue jays money line even money are the two places in training for money lines for tonight The first strikeout prop is also going to stick on the similar topic and talking about brice elder once again elder strikeout prop is currently at four and a half strikeouts at fan dual sportsbook The under is minus 112 and I've got a projected almost a full strikeout below that. Uh, it's actually It was minus 116 before it's now minus 112. So it seems like there's been some interest in the over on elder, which is surprising to me is what I would say I mentioned before that he's been leaning more on his sinker recently and Sinkers are not strikeout pitches If we go back to the 13th start sample on elder where he's been using more sinkers He has hit the over on four and a half just four out of 13 times If we look at his six home starts he has done so in one out of six starts So again, not huge home road splits for elder Um, even though most of his really bad outings have come on the road The aches active roster about a league average strikeout right against righty So not a boost there and as a result, I've got all the projected pretty well below this at 3.69 strikeouts Again minus 112 it does imply that there has been some interest in the over on elder because it was the over was minus 110 It's now minus 112. I do still think this is the right side of this one elder under four and a half minus 112 because This does play pretty well with the money line You could consider going with the same game parlay here Putting the Yankees money line a plus 184 paired with the elder strikeout under if you were to do so That's plus 332 on the money line if annual sports book I think that's pretty fair honestly and I don't mind it So if you were someone who enjoys the same game parlites I think it's a pretty good opportunity because you always want to make sure that your bets play well together That they can both happen simultaneously without drastically decreasing the odds that the other one occurs These actually correlate pretty well so I as always tend to play things Separate so that'll be my path personally But if you did want to go towards the same game parlay if you had some sort of boost on parlays for tonight I think that could be around me personally again Single legs because that's my personal process my personal preference But they do play better in this instance than they typically would so You can't consider tying the elder strikeout under together with the Yankees money line if you were to want to Two other strikeout props I like for tonight. The first one is one that bit me last week I took the under and two key to son's strikeout prop and he went out and he threw he had nine strikeouts so Not ideal under for Tucson tonight at five and a half is minus 118 And I do think that is our way to play things here And it is concerning because Tucson has had actually now consecutive starts with nine strikeouts So I understand why the market's pretty high on him But at the same time in those two games to son's didn't get a ton of whiffs His swinging strike rates were 9.2 percent and 10.4 percent respectively And he still walked a lot of guys and walks drive up pitch counts in a hurry now For Tucson that's not as big of a concern now as it was before because the white sox letting him go deep in games and That does matter for my strikeout projections a lot So I bumped up his his pitch count projection About seven pitches from where it was before which is a pretty big deviation But even with the strikeout or the pitch count increased I still have Tucson projected for 5.29 strikeouts and that's the average number And he can have outings where it's like nine. See if it's 5.29 strikeouts That does imply his median is below Is low enough where we can consider laying minus 118 on the under here I just want to bet on regression after two huge games for Tucson where he's had nine strikeouts in consecutive games The cubs active roster will strike out for sure. So I think that's another reason why this number is a bit high But they're not a high strikeout team actually a bit below average in that regard 22 percent against righties in the current active roster Tucson is on the road. It's also in Chicago tonight. So Not a huge trek across town for him But I do think the under at minus 118 is the way to go to this one So to son under five and a half minus 118 in the cubs and white sox game Final one is actually an over so we did find one over to go with uh for tonight in the strikeout department That is in the Dodgers versus Brewers game Adrienne houser over three and a half strikeouts is currently minus 110 if annual sports book and I think this under accounts for a change houser has undergone recently he had to start in a situation where he made one start relief and It seemed like the Brewers were not super enthused with him But ever since he came back in the rotation houser has been throwing more sliders and sliders Unlike sinkers are great pitches for strikeout props because they do lead to a lot of whiffs and we've seen that for houser because he's made seven starts back in the rotation and He's had he's gone under three and half strikeouts just one time in that span That includes a strike in outing where he had 10 strikeouts against the freaking Braves Now that game was at home if we look at the three road starts for houser He's had five five and three strikeouts the one under in that span came against the Braves That was the second time he was facing them in a uh in consecutive starts So it kind of makes sense that a team that good would get to him when he was on the road the big concern here would be if the Dodgers were to pummel him because houser does let up a lot of hard contact and You know a strikeout prop projection kind of Has to bake into the possibility that houser just gets wrecked because he could lead that game early not get to the Over as a result of that so that could be definitely in play that could get him in trouble but The best way to prevent hard contact is to allow no contact at all So with this number being so low at three and a half strikeouts I have no problem taking the over I think it's a very good bet for tonight Houser over three and a half strikeouts minus 110 where I'd want to go there So three strikeout props for today to saunt under five and a half minus 118 houser over three and a half which is Minus 110 and then also elder under four and a half minus 112 over at fandall sportsbook Now I did forget when I was prepping this morning that is dinger Tuesday so let's kind of search through here quickly to Try to find if we can get some uh some solid dinger bets for tonight I have one guy in mind although it looks like this game might not be posted as of yet Okay, so the game I was going to look at was the cardinals in the a's I want to see what lars newt bars home run odds are Once those are up because he's facing freddy tarnock and tarnock pretty big fly ball guy in the miners Most likely freddy tarnock as the a's are not announced. Uh, their official starter for today, but Let's put a lot of fly balls and ever since the all-star break newt bar has been A pretty big fly ball guy a lot more barrels a lot more Balls in the air. So I find that pretty enticing personally So what I would do is once fandall posts the a's and the cardinals game, which won't occur until the a's announced their starter I would check out where lars newt bar checks and he's been batting leadoff recently. So I should get some pretty good volume out of him. That's always fun And always a positive for us as as well. So I would check out that other one that I think is somewhat intriguing Is I want to see how michael harris's uh home run odds are For tonight and this one does not mesh well with the yankees money line because we're betting against them And taking a look at michael harris, but last night we saw harris move up in the order because azi albie's is out It sounds like albie is going to shift to the Injured list here pretty soon, which means we can probably expect harris to bat high in the order once again harris's home run odds are plus five sixty at vandal sportsbook and I actually think that's good enough to take him So if you're looking for a binger tuesday bet, I would go with michael harris. He was my binger Uh, my binger bet or binger recommendation on the solo shot last night So let's run it back here once again harris Last year was phenomenal. Uh putting the ball Just making hard contact with the ball constantly and it led to a 19 home run See which is not a huge number, but a 217 iso now this year The home run numbers haven't been as big as iso is about 40 points lower But I think part of that might get that luck because his hard hit rate is actually up 1 percentage point to 46 percent and his fly ball rate is also up And if you look at harris recently it does seem as though the hard contact has been inching inching inching up I find that pretty enticing for a guy who has proven in the past that he can Be a guy who puts up pretty decent home run numbers If you look at harris since the all-star break his iso in that time is 162 So about the same as it was before but now if he's going to bat second each night That's going to be a pretty big boost him with regards to volume Got a lot of got a lot of good protection around him in the order So I do find that pretty enticing personally And I think that if you're looking for a Dinger bet for dinger tuesday I think the harris plus 560 is probably the way you want to go there So check on lars newt bar once that game is up But then uh michael harris also a fun one to turn to if you're looking for smellets and dinger tuesday And again that game could feature a lot of home runs total that game is 10 runs right now I would not be shocked. We see bull sides adding to that total. So dinger tuesday recommendation will go With michael harris plus 560 and then check out lars newt bar later on as well Let's wrap up the baseball side of things for today But as mentioned we do want to go back through last week and recap recommendations from the weekly sports here on the show Let's start with women's world cup We had dr. Ed fang on to preview the round of eight and you can find ed on twitter at the power rank Find his work at the power rank dot com and ed in that round went two for two On his money line recommendations are on his I should say two is two advanced recommendations He had spain at minus 180 180 against netherlands. They won that one two to one thanks to a goal in extra time And then he had sweden Uh topping japan at plus 140 and sweden did defeat japan two to one. So couple wins there for ed Spain did defeat sweden last night. Uh, so sweden futures are now dead for ed But he said i'm let yesterday's show he was hedging out of those or hedging those by betting spain to win over sweden straight up and also again Ed did discuss his thoughts on spain taking on england likely in the final We'll see how things go into night's match But uh, he had some thoughts on what to do With england if that game were to occur In the final so if you want to hear ed's thoughts on spain potentially versus england Check that out in your covering the spread podcast feed the fandal youtube page and fandall tv plus Sticky with soccer we had austin cast on last week to preview match week one in the epl You could find austin on twitter at austin cast and austin like ed also won both of those recommendations He had brighton's first half money line over lutein town at minus 145 Brighton scored in the 36 minutes and they won the first half one nil. So win there minus 145 other one was new castle Minus 140 over astin villa new castle won that one five to one So an impressive victory there impressive week by austin and honestly If you listened austin last year You're probably not surprised because he had a really good year last year continuation of what he did All of last year here on the show and excited to have him back on the show tomorrow to talk more epl NASCAR last week was in indianapolis. I had three recommendations for cup and one for Xfinity Hopefully he read the betting guide over a fandal research because I did did the outright there After practice at 18 to 1 on michael mcdowell. So I think the betting guide is a pretty key Compliment to this podcast. It does go up every week over at fandal research talking through Um, it'll have the same recommendations to the show as long as the odds They're still the same and then I'll add stuff in after practice and qualifying usually sunday morning Once marcus have moved there So would recommend checking that out as well over at fandals fandals dot com slash research on the show I had three top 10 bets. Those were tie gives plus 195 alex bowman plus 250 And ryan priested h1 the bowman one hit pretty easily no real sweat there He was fast on saturday his odds closed I think around even money for a top 10 and he ran up front all day. Let me finish fifth So no sweat there honestly pretty good day the plus 250 cashed Gids is also fast saturday and I think he closed around minus 120 or so for a top 10 But he got spun out super early in that race and it pushed him all the way back 27th And there were no cautions after that But gives him so fast he managed to work his way back towards the front and Finished about two seconds behind the top 10. He finished 12 Just I thought he drove really well. So The process was there. I think even though it did not cash. That's her priest He was off all weekend. So did not come close to the eight to one one But I like the results on bowman. I like the process on gids like the process on bowman too And uh whipped on priests, but overall felt pretty good about my read on the cup series side of things In extending my only recommendation was john hunter neiman check 1800 to win. He Ran around eight the entire race and never really was in contention Uh, so that would miss but again betting guides on vandu research allow me to expand on my thoughts at practice So I'd recommend giving this a read on the cup side of things when applicable That is going to wrap things up for today here on covering the spread I want to give a big thank you to all of you as always for tuning in as much We are back once again tomorrow austin cast is going to preview epl match week number two for us We'll break down his takeaways from match week one Take a look forward to match week two and talk about the traditional markets there And then uh, we have all some nfl on friday pitching ninja back with us on or nfl thursday Pitching ninja back with us on friday all right here on the covering the spread podcast Meet and the fandal youtube page and on fandal tv plus if you've gotten any questions for me I am on twitter at jim sonnis j i m s a n n e s you can also follow the fandal podcast network at fandal podcast We want to thank you all for tuning in for today. Good luck to you with your bets across baseball for tonight Enjoy women's world cup semi-final as well. We'll talk to you once again tomorrow This has been covering the spread right here on the fandal podcast network


Before we get into the video guys, I am giving away 11,800 Apex coins to being with a chance to win them. Make sure you are subbed to this channel and have that bell, notification button turned on. Drop a like on the video and leave a comment down below. More details are in the video description people. What is going on guys, welcome back to the channel and I appreciate you being here. Today I bring you another Apex Legends video and today guys I bring you new leaked information regarding the next legend coming to the game and that is Octane as well as a leak on all his abilities and so much more. But before we go any further guys, if you do enjoy the video and would like to show you support you can by hitting that like button if you are new around here and enjoy daily Apex Legends videos be sure to subscribe. So over the past few weeks we have seen many leaks regarding certain legends coming through the game. In total I believe around 10 or 11 names have been datamined and dropped but today guys we actually have some legit information with images of the next legend I believe coming through the game which is Octane. Now last week I covered this guy in a video talking about his leaked audio files and data files. They suggested he had some kind of Stimpac ability and that's right, he does. Now I aint going to showcase what he looks like in this video for obvious reasons but what I can tell you guys is this Octane guy is half robot, half human by the looks of it and I can pretty much say this with confidence that this is the guy we see at the end of the Battle Pass trailer on the left hand side. This is Octane. So with us getting to see what he looks like in this leak we also get to see his abilities too. His passive ability to his ultimate. His passive ability is called the Swift Ment while not taking damage Octane restores health over time. Cool. Tactical ability Adrenaline Junkie, move 30% faster for 8 seconds, cost 10% health, immune to slows while active. Ultimate ability is called Launch Pad, deployable jump pad that catapults users through the air. And there we have it people, to be honest he sounds already like he will be a fan of favour. I can see many people loving that jump pad much like in Fortnite, the jump pad was something many folks enjoyed playing about with. Not only that the jump pad gives you great means of escaping death or even launching straight into it. His tactical ability allows you to move quicker for 30 seconds which sounds very useful indeed. I mean I know 30% doesn't seem like a lot but trust me guys when every legend in the game moves at the exact same default speed being able to move basically a third quicker for 8 seconds will feel a ton faster. It also immune to slows while active. I'm guessing this means things like the Bombardian ultimate or gas traps and so forth which slow you down, you'll be immune to them while in this tactical ability that Adrenaline Junkie but we will see. And his passive abilities with mend allows you to heal all the time. Now I'm pretty sure this won't be OP, I'm guessing it won't recover your health that quick but it's still a great great passive ability and I look forward to learn more about it. But yeah guys this is Octane, if you want to see what he looks like you'll find an image of him linked within the video description which showcases him and his abilities. That's up on my Twitter right now so go check it out. You may as well follow me while you are there people. But yeah guys this is Octane although not confirmed yet by Respawn I pretty much guarantee he will be the next legend to come to the game. If any more information drops I will have you covered right here on my channel as per usual. On that note guys we have come to the end of the video if you guys enjoyed it leaving a like really does help out if you are new around here and enjoy daily Apex Legends videos like news, leaks, top 5s, gameplays, reviews, just about everything make sure you subscribe and if you never want to miss a video I upload you can turn notifications on by hitting that bell but on my channel thanks as always for stopping by and hopefully I will see you on that next one.


Hey coach, what's up? Welcome back to our channel and in this video. I want to go piece by piece on something that is super important for you and I know when you have this set up you'll be able to get great results now what I want to talk about is setting up your website and Doesn't need to rank on Google for you to succeed and the short answer is yes You need to have a site you need to be willing to invest into that and if you're not willing to invest in that I would feel like you don't really have a real business because you need to have something that's marketing what you do 24 hours a day and If I was you I would go use the same website I use it's called kajabi and if you go to build my sports biz comm slash resources You can learn more about that and you get a free trial there and I actually will send you my website I have so you don't even have to do any work if you go and get that set up But I know a lot of coaches asked me they're like well been what if I'm not on the first page of Google? So here's page one. Well, you want to be obviously you want to be on the first page because when parents search I'm just going to throw this example out there Let's say it's Chicago private basketball training And you can hit the pause button on this video and go to Google and type that in and what you'll do is you'll see all of the top Basketball trainers that do private training in Chicago and from there you can go and you can scroll To the second page and then from there you can go scroll to the third page, but here's what parents don't do They're not going to go to page three right, they're going to go To page one they might go to page two and so what we got to do is have your site on The first page right when you have your site on the first page you get more traffic You get more traction you get more phone calls you get more leads you get more sales All right, you're on the second page. Well, the goal would be able to move up to the first page eventually and a lot of this Really has to do with how your website is set up I know there's things on the back end that you need a setup called search engine Optimization that's not really as important as it used to be because Google changes their algorithm all the time But if you don't have a website yet, I would recommend step one Get a site All right, that's something you need to do and that could be as low as like $10 a month If you want to get the thing I have like I said go to my resources page on my website That's gonna really streamline your whole business for you All right, but you need to have a site then from there You need it to rank on Google and it's gonna take time to do that It's not gonna be this overnight thing with my website. I know it took Shoot it took a couple of years for me to be on the first page Knowing what I know now I can rank on the first page way faster than that But it took me time to learn how to do that and now when Because my site is ranked on the first page I can get new leads into my business and I can close those leads to become customers And when that happens being on page one is really worth it And again, we don't want to be on page three if you're on page two We want to get up to page one. All right, and this is the order that I'd go in I'd get a site Then I'd learn how to rank it All right easy way to do that is go see what your competitors are doing Search what you think parents would search for if they're looking for you see who's doing what see whose website looks good See whose website sucks. All right model what works scrap everything else. All right, and then from there All right, we sell All right, and when you have the website set up a very specific way You can use your website as a way to collect leads that you turn into customers This is what I teach all of the coaches in our mastermind program And if you want to learn more about that all you have to do is click on this button up here Where you just click that you read through a page. You see a video. It's very simple I can show you how I can help you grow your business You'll see testimonials from coaches who've already gone through the program All you got to do is click on that there and from there I'll get on a call with you to see how I can help you out. That's it for the video Make sure you go get a site This is going to help you become way more professional with your business And I know if you're in this to really win it in the long term You need to have something that's working for you 24 hours a day. See you later


So the other thing I wanted to ask you guys about is you use microphones and gear and stuff. It's very similar to what musicians use and I know that you guys went through a big studio revamped. For people that are wanting to maybe cross over and get into journalism or get into broadcasting, what would your advice be there? Is it really technical with the gear or is that pretty easy once you kind of get the... Honestly, we don't touch the gear that much. We like turn on the microphone and we're like, oh, it sounds good. That's great. We have engineers who do that. But there are people in broadcasting school, there was an aspect of learning the technical side and you can specialize in that and really dig deep into that because there is so much to learn and there are so many different tech years and things to dive into but for me personally, I just want a good pair of cans. I use AKGs. I don't know what it is but yeah and that's about it. But those engineers, those people who really do know how to make it sound good. God, we depend on them so much. Yeah, please do get into it. Please do get real good at it. I was really looking at the subcombatics of like how the electricity works, the things the radio do. Okay, well, I think you're a genius now but yeah, also my email doesn't work. That's so important and if you have that ear, if you can bring a little bit of art to that and know what sounds good versus what sounds like mud, oh my gosh, we would appreciate that. You're going to be valuable in the radio station the more you know about every aspect of radio, whether it's how it works or you know the sound department or music department or even the sun air. Okay, so the takeaways that I'm getting from you guys is always be a nice person when approaching other people. Don't be like that person at the cocktail party that's like me, me, me, me, me. Sounds also just like put one foot in front of the other and get her done. Yeah, exactly. Yeah, cool. Well, thanks so much for taking the time to hang out with us today. Thanks, Elvie. Thank you. Thank you, guys. I'm sorry for being so many people. I'm Robert Olson, what is that? Yeah. It's not here. It's not here. Okay, well thanks guys. We'll see you next time. Thank you. Bye guys.


So, hello everybody. My name is Sergey Chernyshov. I work for Central Aerohydrodynamic Institute in Moscow. Area of my study is acoustic radiation by subsonic turbulent jet. There are many important applications. Most known of them is aviation noise control. It is a classic problem. Nevertheless, there are unsolved questions like this. What aspect of turbulent pulsation in a jet is responsible for the sound radiation? After brief introduction, I will stop on the standard approach to the problem, then measurements and then proposed stochastic model to overcome some problems. A general solution of our acoustic problem was done in 1970 by Krow for the low Mach number and acoustically compact flow. He showed that the turbulent flow as a whole can be regarded as a source of sound with quadrupole moment calculated from incompressible dynamics. So, the task divided in two parts. First of all, in calculation of incompressible dynamics and then calculation of sound. But of course, we can interested in the details of sound sources. So, can we extract local turbulent events as independent sound sources? The answer is yes, but there is some problem because local event in vortex dynamics in some point is accompanied by in-phase disturbances of surrounding vaticity field in mixing layer. Both of them radiate sound, the self-sound by the event itself and the secondary, the so-called share noise, radiated by in-phase disturbances. So, aim of our study is correct modeling of the share noise, this part, radiated by turbulent mixing layer. Let's continue with the standard approach to this problem. In this approach, the first step is averaging of turbulent mixing flow and as a result, we have average share flow. Then, we look at the disturbances excited with some unsteady source in this flow and noise generated by the disturbances of the flow is regarded as share noise. It can be represented in terms of disturbances of vaticity. Then, the quadruple moment of all this situation can be departed in two parts. The quadruple moment of the self-noise, the event itself and the quadruple moment of share noise that can be represented as a function of disturbances of vaticity. The result for the point external source in the mixing layer, the harmonic end time, is presented here. In 2D flow, we have two different possible quadruples and one of them produces the share noise and the other no. Then, we continue with the measurements. There are a lot of measurements of jet noise, but most interesting and detailed of them are obtained with arrays of microphones. For example, with circular air, we can decompose the jet noise on different azimuthal harmonics and it is very interesting information. For example, here we can see the acoustic noise directivity for different harmonics. Here, acoustic radiation power depending on jet axial coordinate x. This is three azimuthal harmonics and different curves correspond to different frequency band. This is very good rich data for theory validation. Of course, theory that we can compare with the measurements is a little bit more complicated than I spoke about. Nevertheless, we can in 3D green function for different quadruples, 3D quadruples, we can separate the self-noise radiated by the source itself and the share noise components that relates with the disturbances in the surrounding vaticity field. Only two quadruples have share noise tom and the other node. If we compare the model prediction and the measurements, then we can see a very good agreement in a wide range of parameters for different velocities, for different angles and so on. This is a model without share noise. Share noise is not included here. If we include the share noise term, then the comparison is corrupted. Do we understand right the share noise phenomenon? To make this more clear, we consider the stochastic model of the share noise. When the turbulent pulsation in the jet achieves high amplitude, then the velocity field splits into something like vortex worms. This is vortex lines. Does this vaticity disintegration influence on the sound generation condition? Here in this work, we restrict with 2D model. So the standard approach, what is standard approach, is spoken above. It is averaging of background flow on the first step and calculation of share noise of the linear disturbances of this mean flow on the second step. Let's go in inverse order. At first, we calculate the share noise but this system of vortices and then average the result over the vortex locations. We would like to see is there any difference between these two approaches. Again, we restrict with 2D model of mixing layer. We neglect the non-uniformity along the x-axis. We consider the uniformly distributed point vortices in the infinite strip. If the system of vortex is rather dense, then we can consider this system in equilibrium for sufficient time for our purpose. Then we should consider the forcing of the system of point vortices by some external source. If dynamics of the vortices is determined by interaction between them and the effect of external source. If we consider the small disturbances, so the vortex displacement due to external source is much less than the distance between the vortices, then we can obtain linear equation for the small vortex displacement. After that, we can calculate the share noise quadruple moment that is quadruple moment corresponding to the effect of forcing of this system. Then we should average this expression for the share noise quadruple. Let's divide the share noise quadruple in two parts, this first and second. The second part can be average over vortex location directly, but as for the first part, it is not so easy because this part is a function of vortex displacement depending on the history of the whole system. To overcome this problem, we can consider the forcing of system by impulse source and just after the impulse data function of time. Just after this impulse, the displacement of vortices is a function of their own location. In addition, we use the Taylor series expansion for the quadruple moment at times after impulse. So we should average the Taylor series coefficients instead averaging of the quadruple itself. Then we can organize recurrent procedure and fortunately all the derivatives are equal to zero. So what does it mean? It means that as a result, we have following expression for the for the component of share noise component. So what does it mean? It means that average quadruple moment values are constant of motion for the linear disturbances of this system. Using this, we can obtain the solution for the point quadruple source inserted in the system of point vortices. That and source is harmonic in time and this is for two possible quadruple moment of the source itself. We have two solutions for the share noise component. If we compare the results for the standard approach mentioned above and the standard model proposed in this work, we see the difference. Of course, this is only simplified 2D model and to solve what model is better we need to compare with the experiment and of course we can develop the model to 3D case. Nevertheless, we can see that more accurate considering of the reaction of the mixing layer to the quadruple source show that that primary average of the flow like in standard approach leads to incorrect result. So we can conclude. First, the standard description of share noise is incorrect due to primary averaging of the background flow. Correct calculation of share noise radiated by turbulent mixing flow should include averaging at the final step. Then obtained results show possible cause of disagreement between experiment and theory for the net jet noise azimuthal harmonics and as for perspective studies of 3D model for the 3D stochastic model ongoing. Thank you for attention. You mean methods of noise control. In our group in Sagiya we do with that topics of course with experiment with the jet noise with plasma method as well. As for plasma, I should say that the result was achieved when plasma actuators force the jet on the some high frequency, then in the low frequency range the most important for practice. It is attenuation of low frequency spectra due to that. So it is, of course, it is far from practice application, but nevertheless it is something. Maybe it's not used another kind of plasma, maybe it's possible, usual spark, something, not dbd, not dbd, electric barrier is charged, but maybe usual. I know your simple sparks, you mean. Yeah, yeah, yeah. Because it's not destroyed some work, it's very simple idea. Yeah, there are many the direction from corrugated shape of the nozzle itself to forcing of the jet by... As for sparkles, I didn't know these works. We have, deal with plasma. I tried to do it. Yeah? Okay.