What's good Josh or Ross back again with another video? So we're gonna check out 10 words WWE wrestler entrance themes in 2022 I'm gonna be honest with you. I think we can all agree on this The older themes from like the attitude era the ruthless aggression era those themes for wrestlers Where they just were better. They were better composed better bands.  They're kind of generic. They're not as good There are some good ones and then a lot of times You really get like kind of just the most generic ones. Yeah, you got this could be better You know I'm saying y'all already know what my favorite one is slow chemical Frequence theme when he just decided to go mega rogue on Monday night raw that period that slow chemical Y'all know that's my favorite wrestler thing one of my favorite wrestler thing I just love that song. So we're gonna check this one out. It should be a good one, man Appreciate all the love and support. We're almost at 70 K almost we're right there Hopefully we can hit 70 K before the end of February So I'm looking forward to that and also fog into this video Congratulations to the LA Rams out there for winning this year's Super Bowl. That was a fantastic game game I enjoyed it. It wasn't a blowout. It was competitive. That's all I asked for in a good Super Bowl I enjoyed the halftime shout out to you LA Ram fans and a man Cincinnati fans.   That's all y'all need That's all y'all need to do in the draft is worry about offensive linemen That's it. Don't worry about nothing else. And I think y'all can make it back to the Super Bowl relatively soon So, uh, but yeah, I just wanted to talk about that real quick. Now. Let's get back to some wrestling. Let's do this thing, man One of the main criticisms in relation to current WWE is that the theme songs are downright awful Yes, most of these theme songs for the WWE superstars seem to be lazily produced Most of them sound incredibly generic In fact, we wouldn't be surprised if they were just getting them straight from YouTube's royalty-free library Now, although there are a few exceptions to this notably Roman Reigns and Bobby Lashley's theme I will say Roman Reigns his final boss s thing theme Was great That was one of that's uh, that's actually a solid one. His theme Fits his character.    You're probably gonna lose and you're gonna have a tough time beating them But I love his theme though So the themes on the roster have severely dipped in quality But which ones are they? Well join us now as wrestling me looks at 10 of the worst themes in wwe currently Y'all go subscribe to wrestling me if he hasn't uh, if you haven't he makes dope wrestling videos Be sure to subscribe and hit that notification bell for daily wrestling videos and follow us on facebook for exclusive lists Number 10 sammy zayn. This is it Now sammy zayn's world's apart theme was the perfect theme song for him Although it suited his babyface persona more than his heel persona This didn't take away from the fact that it became synonymous with zayn And for whatever reason wwe decided to change his theme song to a song titled this is it For zayn's new theme wwe decided to keep the intro from worlds apart But this fades out after a few seconds What follows is then a few minutes of generic beats that failed to stand out or leave a lasting impression Yeah song feels soulless and it's obvious that zayn struggles to vibe with the beat as he makes his entrance Fan criticism has been common whenever the theme song plays but wwe appeared to be insistent on keeping the lackluster song I get it because his other steam song is more of a face type thing like Let's like the crowd would get into that But he's a hill and it's kind of the same thing with if you guys remember barbie rude man The glorious theme song that shit was getting over And apparently I don't have enough footage left in my camera. I don't know why hold on y'all. That's that's actually quite weird Hold on. Yeah, that's weird. I don't know how I don't have enough space in this memory card I'm quite perplex. But uh, like I was saying the barbie rude theme song, um And it was getting over with the fans But he was a hill or whatnot and it's just one of those type of things where Even if they're a hill, I think you should keep make sure the theme song always stands true Because whether they're a hill or a face the crowd is just gonna rock with it If it's a it's just something catchy the crowd's gonna vibe with it. So that's just what it is, you know Number nine barron corbin the good life when a wwe superstar changes gimmicks It's common for them to receive a brand new theme song This was the case when barron corbin debuted the happy corbin character a number of months ago Corbin's last theme i bring the darkness was popular with fans as it was dark mysterious and had strong lyrics But the same can't be said about corbin's most recent theme The theme song is titled a good life and the intro features the sound of a slot machine before a bizarre techno sounding song plays Now the issue with this song is that it really doesn't fit corbin and it appears if wwe have just given corbin a Random song without thinking much about it. Yeah, sounds about right. Austin theory sound the alarm Now it's clear that wwe have major plans for austin theory It was involved in tv segments with vince mcman and has had featured matches with the lights of fin baller jeff hardy and aj styles Now if wwe wants theory to be a top star in the company They're gonna need to urgently work on his terrible theme song This title sound the alarm and it's so unmemorable that it simply doesn't positively stand out against any other Theme song now the main issue with the theme is that it instantly goes into a mediocre rap with lines such as It's such an That is cringe I almost actually exploded from the amount of cringe off those rhymes.  All right, speeded effect number seven ricochet Remix One and only theme song was one of the best theme songs on the main roster So naturally wwe decided to change it sounds about right why they changed it But the theme song they changed it to couldn't have been any worse They decided to keep the classic one and only intro But then it fades out into this generic beat with random lyrics such as hey, it's about to go down thrown in there Our fans were quick to rightly criticize the new theme when it debuted on television at the start of 2022 Our fans claim that wwe have officially given ricochet a job of theme song. Yeah number six Shut them down Our fans in all likelihood may not be overly familiar with t-bars theme due to how infrequently appears on television Nevertheless, his theme song is truly one of the worst on the roster It's titled shut them down and it basically is a rap track which really doesn't fit with his character The lyrics in the theme include call yourself the realist, but you're not call yourself the realist get dropped Now let's rock. We're a million strong. I'ma come in and get you This is just another example of wwe I love eating a superstar a random theme song Not logically thinking it through whether it suits their character or not So, number five the dirty dogs here to show the world remix Adolph Ziggler and bobby rude have two of the most iconic songs ever However, when w I was just talking about it, man, I'm not gonna lie to you Dolph Ziggler's theme song even though they never really gave him The the substantial push that we all wanted from him He kind of many push his theme songs. It fits his character and bobby rude was glorious We decided to put them together as a tank team combination These theme songs became obsolete and they decided to debut a brand new theme for the popular duo The intro for the theme song keeps the we're here to show the world intro from ziggler's theme But this has been changed to a different singer and then this fades out into a lackluster beat And I show the world No, the song is flat and lifeless. Yes, they have been called from wwe fans to do something exciting with the theme But sadly these calls have never been answered Back in a 2021 interview former nxt champion bobby rude revealed that when he and ziggler were paired up He wanted to drop his theme song in favor of a new tank team exclusive song Surely this isn't what he had in mind Number four do drop by does it When do drop was given her brand new persona for a main roster run She revealed in a number of interviews that she didn't get what her character was until she heard the theme song This was her initial theme song We fly and shortly after this revelation from do drop wwe decided to change her theme song Our latest theme is title. I does it but fans certainly don't the song is without a doubt What are the most cringe-worthy songs on the roster and the lyrics speak for themselves? It's a terrible theme song that doesn't tell the fans anything meaningful about do drops character and what she's supposed to represent Number three carmela. She's bad They're just getting so worse carmela during a main roster run Two of these those being fabulous and tradisi receive widespread praise from fans They were well produced and certainly aligned well with whatever carmela's character was at the time Carmela's most recent theme title. She's bad is without a doubt the worst theme. She's ever had The song is just a lazily produced rap with generic lyrics, which failed to get the crowd excited number two live morgan And live morgan is a fan favorite man. Y'all love it. Y'all love some live morgan. I do too You know and I hope she at some point gets a title title title reign under her You know, but we will see how that happens heavily pushed on television over the past 12 months or so All of these plans haven't led to a title run Morgan has attained a great popularity that continues to grow The issue with morgan's presentation is that she's had a terrible theme song that seems to change virtually every week Damn her current theme is titled nanan features a sweet melody followed by a beat that sounds like it's from a video game soundtrack Bianca's confidence in logic Live morgan is another woman who's been clamoring for an opportunity Super generic the two things don't go together and the theme ultimately fails to present morgan in the manner it should As was mentioned wwe continues to edit the theme song In fact, there have been a number of versions of it each seemingly worse than the one that came before it If wwe wants morgan to become a top star in the company They're gonna need to urgently work on creating a meaningful and memorable theme for her Facts and number one. Shayna basilar loyalty is everything remix. Shayna basilar's initial wwe theme song was perfect in every It was bro. Her her initial theme song especially in nxt. It fit her Nothing nothing cringe. Just it come off. It came off as a badass like yo This is this woman will probably send you to the hospital very quickly So it just came off. It worked Wait It was a perfect match for her persona and she even managed to adapt to entrance walk to suit the beat of the song It had certainly become a fan favorite over the past few years But this was before wwe decided to change it in early 2022 They decided to debut a brand new theme song for shayna which sounds like a royalty free track that wwe have just downloaded online There is shayna basilar Blowing kisses the 10th No, the song is underwhelming and is rather unmemorable. No in fact when shayna entered the 2022 women's rumble Fans had no clue who was entering the match due to how generic and flat the theme song was Hopefully wwe listened to fan criticism and reversed the theme song back to the original track Yeah, the original track definitely it worked I'm just be honest with you. I didn't I said this at the beginning of the video. It's like it's so I don't get it. I I don't get it. They have all this money. They don't want to pay people royalties. They Yo theme songs matter Theme songs are what makes the wrestler like completes the whole package of a wrestler If it's generic and boring, you're not gonna really care. It's not gonna hit as much So it's like if you want that wrestler to really truly be over You know, you want to give him a solid theme song that works for him that fits their character Some people are able to overcome their generic theme songs as a rare occasion and then some people aren't you know saying it just You hear that theme song. Oh, this guy is a jobber Definitely a jobber you got the generic theme song going on or the cringe raps Definitely a job or definitely doesn't look like someone that's gonna win the title anytime soon So but comment down below. Let me know. What is actually your favorite Theme wrestler theme song as of today like from the current roster we have and we're talking about wwe aw Impact wherever who has the best theme song right now that's wrestling today. I want to hear y'all Y'all y'all picks down below appreciate all love and support road to send the k appreciate y'all kicking with me see y'all next one. Peace


Well, for clergy, I often ask the question, what is retirement? Well, I don't plan on retiring, but serving part-time. I'm a certified intentional interim minister and hope to be used in that area, but at the same time I see that I have many gifts that I can use in other parts of the kingdom here in the North Texas Conference. And so I'm available to help in very many ways. There are a lot of young clergy that are coming into the ministry that need to understand and better comprehend the process. And so, especially those that are persons of Asian, African American and Hispanic descent, who doesn't understand culturally that the process of ordination. And so I'll be playing a major role both at the district level and at the conference level in helping them navigate that process. I will be spending a lot of time with my family. I'll be traveling at the same time using what God has given me till today I die. Just as when I began my ministry, when I didn't know where God was going to send me or what God was going to do with me, I still trusted God. I kept one eye on the bishop, of course, but I trusted that God would show me and lead me in the way that I should go. So as I begin my retirement, I have no idea what God has in store for me, but I hope and pray that I trust and continue to look for what God has for me to do. I've just finished reading the book, Hillbilly Elegy, by JD Vance. Various people in JD's life enabled him to break through the barriers of poverty and a dysfunctional family system to graduate from high school, service country in the Marines, and graduate from college and then law school. These people made a real difference in JD's life, whether they knew it or not. I think that God is calling me to make that kind of difference too. I want to join all of you who are already engaged in making a difference in a child's life through our one plus one ministry or project transformation or perhaps another mentoring opportunity. Jesus is surely bringing about his kingdom and each of these children and in and through all who serve them. May God continue to create a passion in me and perhaps you too to make sure that the young among us are able to fulfill their God given potential and perhaps in that process create something new in me as well. My wife and I will be leaving Texas after 38 years here and moving to the far northwest where where mountains and forests and the ocean are all an hour away and two of our grandsons will be nearby and it will be a slightly shorter flight to Australia where there are two more grandsons. I will find others to hike with among the Douglas furs and the old growth forest and in the continuing green creation. I'm in contact with several prison ministries in Portland and in Washington because as my ministry began seriously in prison ministry here in Texas I look forward to again being involved in new ways committed ways with more of my fellow misfits. Whether it's my screwed up back or the Holy Spirit I don't know but I've never been able to sit still for a very long time as I was called to the United Methodist Church and met there by the good people of White Rock United Methodist. So I am now called to to go a different way within the church. Next spring I plan to walk the Camino de Santiago in Spain and there are some outrageously beautiful trails in Australia and then when I'm 80 I'll be buying a six pack and some Cuban coronas. That's my incentive to stay healthy. I'll write about those things and I hope God will be honored with my life from here on out because that's my intention. Of God, of community, serve. Amen. In my life in retirement my number one goal is to play golf more than once a week and I think I can accomplish that but I'm not going to give up entirely on church ministry I'll be doing something hopefully some things that that I enjoy doing in a very narrow aspect I love working with social media and websites but also probably we'll do something in a local church maybe on staff part-time as long as I can find time to play with my grandson and enjoy playing golf. Okay so I think I know that God will continue to work on me and in me and I am really just changing the the direction of my calling I have been called to work in mediation and conflict resolution for over 10 years and done all kinds of postdoctoral training in that so I intend to set up my own consultancy to be a peacemaker knowing full well that with the biblical witness of peacemaking sometimes you got to turn over a few tables to get it done. Well with more time in retirement I'm sure hoping to see God create in me a better Jim Osier as a husband as a father as a grandfather as a friend I plan to continue in my ministry by leveraging my experiences to help churches and pastors in any way I can through my coaching and consulting ministry around the country just does break my heart to see pastors and churches want to be successful in reaching the mission field but they just can't get traction to move forward so I hope I'll be able to help in that in my retirement through the years to come I have only deep gratitude for the North Texas Conference and the churches and the people who have been Christ to me and for me my blessings go with you as I pass on the baton of leadership to the most qualified person I could imagine Owen Ross so I have no fears about North Texas Conference and about God's work in this church and amongst our people in the years to come I did not choose God God chose me for ministry and that calling doesn't end with my retirement God continues to call us all along the way in many mysterious ways for me I'm broken I'm worn out I'm tired but I surely believe God will continue to use me what that is is only a mystery but with an eagerness that I started my ministry over 50 years ago I say along with others here I am Lord I will go Lord when I think about how God will be creating a new in me through my retirement the thought that springs immediately to my mind is gratitude gratitude that God will that as long as we have life and breath God isn't finished creating in any of us so I'm approaching my retirement with the exciting idea of paying more attention to how God is just waiting to astonish me with wonder whether it is traveling to new places and being overwhelmed by their beauty or whether it's spending time with a cup of coffee and a good book in my own backyard knowing that to be drawn into that story is my only assignment for the day whether it's taking time to marvel at the ladybug on the hydrangea leaf or learning more of how to pluck the strings and shift the petals of the harp to allow its glorious tones to fill the air or whether it's just being present in amazement as grandchildren discover the trials and triumphs of each new stage of life the chance to be astonished by God's creating wonder is always there and I want to take time to pay attention and one of her latest collections of poems Mary Oliver records this one as her final offering I wish the words had come from my pen they're certainly in my heart she calls it a voice from I don't know where and she writes it seems you love this world very much yes I said this beautiful world and you don't mind the mind that keeps you busy all the time with its dark and bright wonderings no no I'm quite used to it busy busy all the time and you don't mind living with those questions I mean the hard ones the ones no one can answer actually they're the most interesting and you have a person in your life whose hand you like to hold yes I do it must surely then be very happy down there in your heart yes I said it is thanks be to God I can't imagine God not continuing to create a new in me and in all people who are willing to just be there and and and be involved I think availability is a number one thing that we need to be as Christians God does the work and God does the transformation I think God calls us and pushes us out to the to the very edge to the precipice if you will if we're willing to go and we're willing to trust God we might soar we might crash but God calls us to get out on the edge and when you're out there to just turn loose and tap dance tap dance on the precipice how do I think God will continue to create in retirement for me well immediately the story of my cancer and death both to myself and to the community is how to tell that story and how to include it in a life of discipleship God's inspiration certainly in my family dear wife Corinne my children and grandchild and how we'll belong to each other in each of these days and the good parts of that are have already begun I think God will continue to use me teaching the early class at first United Methodist Church Dallas preaching when I get a chance I know God will continue to use the things he's used all along in devotional life in music and bicycling getting to do that more I also understand and even seek God to guide my theological journey when Schubert Ogden graded my cradle at Perkins in 1975 he gave me a list at the end of things I knew the words to but I didn't understand man what a grading process after 12 years in the inner city I know what kingdom of God means but there are a lot of things on the list this last decade I've been working on what Holy Spirit means but from Ogden's list and given these days of my life and death I think I'm going to put Holy Spirit on hold and seek why resurrection is important why we need that what could that possibly add to an eternity we spend with God God's leading me through retirement and I might even have more time to listen well I don't believe God is through with me yet I anticipate making further discoveries about myself and growing in my ability to use myself in answering God's call to ministry and whatever form that may be whether it be in the local church or in other avenues and aspects of our society I continue to look toward a time of growth and discovery in addition to doing much more readily and speedily what the good Mrs. Wama could have me do I think I will it'll be a mixture of things that challenge me in my comfort zones on the one hand and things that that are very native and natural for me to do I I have been on a real journey all my life and certainly during all these years of ministry to discover and to employ increasingly a heart for the poor and one of the things I will be doing will be engaged not only in my hometown of Garland but in other places ministries with and in partnership toward and with the poor and that would that will be a challenge for me but I'm looking forward to it and I'm looking forward to having greater opportunity to sit down and not just care for or about people but get to know them particularly elements of the poor in our community and so that will be one thing always always involved in the work commission and outreach and the heart of that will be disaster response but also looking very much forward to a growth area of something that I've just pretty much set aside for 42 or 43 years and that is getting back into creation relative to environmental concerns both in terms of volunteer field work and in terms of policy related matters pertaining to environmental issues in the state of Texas and water quality in particular I've always had a high interest in that and so returning to a deep and abiding biblical theme of the stewardship of creation really look very much looking forward to that


So as you breathe in you want to imagine yellow energy going into that area.  So breathe in yellow energy into your spine and then who and you can kind of bend over a little bit so that your fingers can go deeper into that part of your body. Breathe out who and then breathe in again. So that is your spleen cleansing sound.


Hello and welcome to the session. In this session we shall discuss that in complex numbers, the midpoint of a segment is the average of the numbers at its end points. We will understand this with the help of an example. Let us consider two complex numbers say z is equal to minus of 4 plus iota and w is equal to 2 plus 5 iota. Let us plot these complex numbers in complex plane. Here is the complex plane where x represents real axis and iota y represents imaginary axis. Now we can represent this complex number by the point p with coordinates minus 4, 1 and this complex number by the point q with coordinates 2, 5. Now we shall plot these points in the complex plane. Point p has coordinates minus 4, 1. So we mark this point as p and it represents the complex number minus 4 plus iota. Similarly we can mark point q with the coordinates 2, 5 here and it represents the complex number given by 2 plus 5 iota. Now we join origin o with point p as well as point q and we get o p and o q and now we have to find the midpoint between these two complex points that is point p and point q.  Now we see that p q is one of these diagonals and it is the line segment joining two complex points p and q. Now we shall find the midpoint of p q and we know that diagonals of a parallelogram bisect each other. So let point m be the midpoint of both the diagonals. Thus we say that m is midpoint of p q. Now from the plane we can see that point m is given by the coordinates minus 1, 3. So midpoint of p q is given by m with the coordinates minus 1, 3. Also as a brightly we know that if x 1, y 1 and x 2, y 2 are any two points in a plane then its midpoint is given by x 1 plus x 2 the whole upon 2, y 1 plus y 2 the whole upon 2. So here also p and q are two points in a plane which coordinates x 1, y 1 as minus 4, 1 and x 2, y 2 as 2, 5 then its midpoint m is given by x 1 plus x 2 the whole upon 2 that is minus 4 plus 2 whole upon 2, y 1 plus y 2 the whole upon 2 that is 1 plus 5 the whole upon 2 and this is equal to minus 2 upon 2 6 upon 2 that is minus 1, 3 which is same as we had found on the plane. Thus we say that midpoint of a segment is average of the numbers at its end points. So midpoint is given by average of x coordinate average of y coordinate here midpoint m with coordinates minus 1, 3 represents complex number that is minus 1 plus 3 iota. We can also find the complex number given by midpoint directly by taking average of the two complex numbers. We were given two complex numbers z and w. Now to find the midpoint of these two complex numbers in the complex plane we can directly take the average of these two complex numbers that is we have z plus w whole upon 2 which gives the average of the two complex numbers.  Thus we have got the average of two given complex number as the complex number minus 1 plus 3 iota so the midpoint is given by the complex number minus 1 plus 3 iota or on plane it is represented by the coordinates minus 1 3. Thus in this session we have learnt that in complex numbers the midpoint of a segment is the average of the numbers at its end points this completes our session hope you enjoyed this session


Hi, in this tutorial we're going to talk about that how to get the code point for a character in JavaScript or ECMAScript 6. So we want to get a character if we know its position in characters table. Okay, I will use console log method and inside it I will call strings method from code point and as an argument I'm going to provide a number 123 and I want to see for this number which character is inside UTF table and as you can see character that has position 123 inside UTF or in this case also ASCII table is curly brace. Okay, we can try to use this method from code point for some other character. I will use for example this character and we will get as a result from characters table this character. So that's all in this tutorial. Don't forget to subscribe to my channel. See you in the next tutorial.


Is Germany's coup d'etat linked to Russia? Kremlin has distanced itself from the far-right extremist group that has sought to overthrow the government in a failed coup attempt in Germany. Germany on December 7 arrested 25 far-right figures, including members of the extremist Reichsberger Group, who had plotted to storm the parliament building and seize power. Among the suspects was a Russian woman who was also detained during the raids. Commenting on the Russian citizens' arrest, Foreign Ministry spokeswoman Maria Zahara was said on December 7 that the Russian embassy has sent a prompt request to the German agency for clarification of the circumstances of the detention of their citizen. However, there is another Russian angle to the story. According to German prosecutors, members of Reichsberger had contacted Russian diplomats in Germany to establish what they described as a new order in Germany once the Berlin government was overthrown. The Prosecutor General statement was denied by Kremlin spokesman Dmitry Peskov, who pledged there could be no question of any Russian involvement if Germans failed coup attempt. In a press conference on December 7, Peskov highlighted that the failed coup attempt in question was Germany's internal problems and that there can be no question of any Russian involvement. Reichsberger Group, that is known for its violent attacks in the past, does not recognize the modern German state and wants to reinstate the Reich. German law enforcers carried out 105th operations across Germany, as well as operations in Austria and Italy to detain the coup's plotters.


st put it in production and before that it was a semi-connected network here we are trying to predict in which category customer is going to be most interested because remember I have already picked up what are the best products in that category that are going to sell right so I have already solved that problem and when I start doing category predictions which are about 2500 I am not talking 10 or 15 categories I am talking 2500 categories so your shoes and your socks are different categories in fact your sport socks and your formal socks are actually 2 different categories we can do prediction we do prediction at that level and once I have all of that then I use an item recommendation I don't use item recommendation as my starting point item recommendation is my end point this is the last point in the journey that is the main difference most of the time when you talk about a recommender system that is your starting point Spark comes with Spark comes with ALS model and all it does is basically takes your view and product view and product signals basically calculate the interactions and then basically you run some kind of alternating least square method which they have implemented and then you try to find out which product is going to be popular if you have seen this other product Netflix is doing that Amazon is doing that I think that's the most popular thing and obviously people have used category affinity in past not saying we are the first ones but people do it after the fact what we are doing is we are doing it before the fact we start we have always focused more and more on the category we are focused on this model and lately from last 6 to 8 ones we have been focusing a lot on this other model also and partially because this is actually a very high scaling challenge 100 million products is a non-trivial size after this remember I talked about I do assembly because remember I talked about my third objective which was my PTM's business objective which basically says that in this month I want to increase transactions in this month I want to increase GMV and so on and so forth how do I do that? I need to give some kind of levers and that's where once I have built my assortment this is what I am going to show to a customer I need to re-assort it and that re-sorting based on the inputs that I get and this is an optimization problem that we are trying to solve a regression problem on your left a category affinity prediction on the right a collaborative filter which is a kind of a matrix factorization in your middle and then an optimization problem in the end this is our standard framework and this is what we use in all the places I am happy to go into more depth I see I have only 12 minutes left I am not going to talk about this category model is an interesting one we started with a very simple random forest classifier it had about 6500 features and we were predicting only 200 categories at that time when we started so we said 2500 categories no may when we cannot predict that so we said let's go one level up it's obviously a hierarchy and we started predicting from that point right it worked out 200 categories the precision were decent the metric that we use to measure our model always is precision at K and NDCG then we basically said you know I said we will go on every home page so every category page that's where we started building a hierarchical classifier by the way one thing that we added here was in spark MLM you could not persist the model especially the random forest model we have actually built that so we could actually persist the model and then we could use the model if it's stable enough so I'm happy to share that code at some point we built this hierarchical classifier again does not come out of the box we actually built it we said let's take all the major categories because there are certain differences in fashion from electronics so we started building individual models for each one of them and then obviously it was a joint probability distribution in the end if you want to predict at the leaf level or if you just want to predict for that particular category then you can just use only that model then came this this new model by the way this is a very state of the art mechanism for doing category predictions used by a lot of people it's based on a paper from Microsoft what we did was we understand that basically user purchases are a sequence it is like a sequence of words so we use word to wek to build a latent factor a latent space in which we could represent the user purchases so on the left you basically see user purchases and views and then we take some target purchase category and we run it through word to wek and that gives me that latent space this guy this guy over here this is my latent space and then I take that latent space and then I run a logistic regression on top of that and that is why we like to call it semi deep learning this is not truly deep learning because the model is not fully connected so we build that and then finally we were able to get the category prediction this actually works on all the 2400 categories and now we have done another thing where I don't have it here but we basically take the next generation of this model which has been life for about 6 months now it takes time buckets so basically think of a very huge stacked matrix which has this user this latent space it is stacked by 0 to 2 days 2 to 4 days 4 to 6 days and so on and then it is compared against a very large target vector in the end and that is how you run a logistic regression basically a fully connected network also using a MLP but the thing is our data set is so huge that we just could not finish it in time and I need to finish every model in 2 hours if I don't then basically I am late for the right prediction basically the precision at K starts dropping in collaborative filter again we use ALS but we initially we used ALS we give it our flavor by giving it the strength which is the interactions we gave it our flavor where we said that not every interaction is equal so we built a custom function which exponentially decayed the interaction and now what we are doing is and that's why I mentioned the 6 million plus offline merchants in the beginning is because I am introducing all the payments data in here as well where I can literally build a function in ALS which just says that I will have X amount of a weight given to interaction from a digital product and a physical purchase I will have Y amount of weight given to a digital product and a digital purchase I will have Z amount of weight given to a physical product and a digital purchase and so on so I can make all those permutations assign different weights to them and that's how and that's basically our variant on how do we define our interactions this is another use case where we basically had even after doing all this you will always have these corner cases keep coming up this was specifically done for air conditions and TVs, high end electronics type of categories and what happened here was we were not showing the right products so basically what we ended up building was another so similar model the network that I showed you we built a variant of that by using price buckets and brands and this is the TSNE visualization of that you can see the red ones are the ones which are predicted by this model and the green ones are predicted by our general model and the blue is the customers purchase you can see that the red dots are actually in path of how customers actually purchase it this is an interesting one because somebody actually challenged us once this graph is just coming from that email we sent it to them saying that by the way you are buying this type of stuff that's why we are showing you TVs which are very expensive this is interesting so now at every point when we start giving out a recommendation what we do is we are not serving from one model it really depends on the type of list that is being created so we start with a customer at the time of generating the recommendation we look at a few things does this list have categories multiple categories more than 10 categories or is it primarily a list which has only products from electronics or is it primarily a list which has products from shoes and fashion accessories that's a mixed kind of a list and so on right and based on that we have built a system where we basically invoke different types of models one model again that would be another problem with using a vanilla ALS where in an ALS you have model and you are trying to drive you are trying to treat everyone through that same model whereas in this case you can have multiple different types of models multiple variations of deal pool selector multiple variations of category affinity and multiple variations of your collaborative filter and then combine them based on the type of prediction that you want to make okay I want to share some very quick results basically you can see on the left you can see some lifts in CTR but basically 2000 plus lists are personalized today we serve about a billion plus recommendations every day we have seen about a 2x increase in GME per user similar type of increase in number of transacting users number of units sold per user we have served a lot more sellers than we would have served by doing manual assortment right this is our overall architecture I am just going to finish in like maybe 2 more minutes the overall architecture is basically we have a batch part where we do a lot of feature creation and so on then let me go to the next one actually right then we have these 3 individual microservices going back to that framework we had 3 things we had a dpool selector which is in the middle here we had a category classifier and we have we call it white mage it is basically the collaborative filter these are 3 independent microservices completely deployed with their own data sources I can deploy whatever model I want to deploy there and so on so forth right and then we have an orchestrator which is directly talking to something called a serving layer which is an extension of our catalog so our catalog every time it wants to serve anything it will first make a call to us our measurement system is going to determine what type of model needs to be served then basically we will go to that particular we will go to the orchestrator we will tell orchestrator pull up that model for this customer for dps pull up this other model for cc pull up this other model for white mage and then all of them send back the results to orchestrator orchestrator then goes to another db which tells it in this particular list my goal is to increase the transactions so then it says okay so let me pick up the optimizer optimizer or the racking objective which I need to solve for is to increase transactions it re assorts everything resorts everything and then it basically sends it to send the recommended products and obviously we do a lot of validations like is the inventory there or not is the merchant good or not has the merchant been blocked or not and so on so great I want to share some learnings this is my some of the things that I have learned over the last 10 years so don't build stuff for yourself people will not adopt it and that will just lead to more frustration so always build for your customer ask them what do they need this is an interesting one that I have learned don't build things to present at conferences build to add value to business always do that piece because when you add value to the business you will get a lot more ideas and then you will be actually able to present at a conference changes hard and messy adoption is very very hard machine learning adoption used to be even more harder 5 years ago now because AI is a buzz word business managers are coming around there is a top down push so people are adopting it but it's hard find a business partner get executive sponsorship but more importantly find a business partner and they will help you get through this engineering first so models are absolutely useless they have zero value sorry for interrupting you but you overshot your time I am almost done just start small and keep at trading thanks guys thanks a lot we will not be taking Q&As for this session since time is overshot by a lot there is a parallel OTR session going on in room 01 outside move out of the hall take a left the session is about interesting problems to solve with data science also there have been feedback forms distributed to you guys please read the talks that helps us make the conferences better the next session is by Santosh, GSK from Prakto and Santosh would be talking about adopting bandit algorithms to optimize user experiments at Prakto Consulting hello also you need to take care that the forms distributed right now are the evening session forms the forms which you had earlier were the afternoon session forms so like there are two feedback forms for the same day according to time you need to fill them both I mean it's not compulsory but we would really like you if you do the forms need to be submitted outside there is a basket near the registration desk you don't need to move out of the hall right now you can do it while going out I hand it to Santosh hello cool Hi everyone I am Santosh a senior data scientist at Prakto so how many guys have heard about Prakto awesome how many guys have tried online consultation at Prakto nice so for those who don't consult is an online consultation platform where a user can post a health query and we as a platform who replies back with a medical advice so in such a platform if you want to optimize for a user you would often assign all the questions to a set of doctors who are performing who are answering a lot but over a period of time this set of doctors who usually are a very small fraction will get a lot of questions assigned and they won't be able to answer all of them they would feel burned out and at the same time the rest of the doctors will get questions assigned and they won't be engaged with the platform so if you try to optimize for the users you would end up with a bad experience for the doctors on the other hand if you try to optimize for the doctors you randomly assign the same set of same number of questions to each doctor but not all doctors are equally active some don't even open the app to see the questions that were assigned so those questions would obviously end up being unanswered by the fact of user experience so if you optimize for your doctors you would have a bad experience for your users so usually you come across such kind of trade-off at any marketplace even for e-commerce sites like Flipkart or Amazon if you try to optimize for buyers you would have a bad experience for sellers and vice versa so in this talk I present how we use bandit algorithms to actually solve for such a trade-off problem the key takeaways from this presentation are to understand how multi-amp bandits work and how you can use at any of the problems that you work on and how we use that factor concern so let's begin so let's say we have a guy who just came to Bangalore and he wanted to have a good dining experience but he has no idea which restaurants are good and which are bad so he asked a couple of his friends and they suggested a couple of restaurants so he went there and he liked them so he made two buckets one bucket where the restaurants he liked the other bucket which he never explored so the next time he wants to go to a restaurant he wants to play safe and goes to those restaurants which he liked so more often than not he wants to visit such restaurants let's say out of ten times but he gets bored and he wants to occasionally explore new restaurants so he goes to one of those unexplored buckets and if he likes them he likes restaurants so what we are seeing here is a multi arm band setting the restaurants on the right side are your multiple arms and the reward this guy is trying to optimize is to have a good dining experience and the way he is trying to do that is through an exploit and explore strategy so he is exploiting nine out of ten times and exploiting one out of ten times so that he would not miss out on those new restaurants this is the simplest form of multi arm bandit algorithms it's called as epsilon greedy where epsilon stands for a probability here epsilon is 0.1 means that ten percent of the times he explores and ninety percent exploits so this guy really liked this strategy he started exploring all the restaurants after experimentation he was no more a stick man so coming back Prattu has a lot of use cases for patients like you can search for doctors clinics or hospitals you can even book an appointment or you can consult online or also you can automate since so the one use case where you are looking here is consultation online a usual consultation form looks like this where you post your problem also you select a problem area in which specialty you want this question to be asked so we only send this question to those doctors from that specialty once the question gets posted we now have the task of assigning to a doctors that we have in our list so let's say today we have with us doctors Shyam, Alexa, Ram and Bob so if you can see Bob looks like a surgeon looks like to be more busier than other doctors so somehow we have figured out their timings and if you look at the availability Shyam is available on weekends Alexa on evenings, Ram on mornings but Bob has a lot of surgeries scheduled for that week he is just busy for that week so let's say this question comes on a Wednesday morning even if let's say hypothetical Shyam is the most performing doctor we won't assign it to Shyam because he is not available on the week days so we assign this question to Ram instead because he is available on mornings so this kind of using the context is what we call as context tool assignments so how we do that for every question we will what we call as a context tool feature vector the features can be the number of words the time the question came in the age and gender etc and we multiply that context tool feature vector with parameter vector of each doctor to get what we call as a predatory word a predatory word is nothing but how likely this doctor would be giving you a fastest response the higher the reward the faster the response you can get from the doctor you can just pick the doctor who has the highest reward assign the question to him so here in our case Ram has the highest rate of reward so you assign the question to him but the important question is how do you estimate the parameter vectors we look at the previous assignments made to the doctor and we look at what are the true rewards we got from the doctor we then apply simple ridge regression to estimate the parameter vectors so all is good and we made few assignments over a period of time we observed that Bob has got very few assignments compared to other doctors so if you see Sham has got 30 Alexa 50 and 45 and Bob has got only 9 because he was not answering a lot of them so this doesn't mean that Bob won't be answering questions at all he's just busy for the week so we should give him more chances so let's give Bob few more chances how do we do that so let's say you got a new question on a Sunday afternoon so using the contextual feature vectors we have calculated the contextual parameter rewards here now along with that we calculate now what we call as a regret bound a regret bound is nothing but it shows how less information you know about the doctor the lesser the information the higher the regret bound so in this case Bob has very few assignments so we don't know much information about Bob so the regret bound is higher so we add this regret bound the contextual rewards that we already credited sum it up and pick the best so now Bob would get a chance to answer this is a second algorithm in multi arm bandits it's called as upper confidence bound if you have a mirror with statistics it's very similar to you giving an estimate of a parameter so minus sigma the less of the information you know the less of the sample size the higher the confidence interval you have because you're not sure of the parameter value similarly here you're not sure of Bob so you have a higher regret bound so we have implemented this algorithm and some of the results we see was with the random installation of weights we were able to see a 60% reduction in response times within 10 days also interestingly we were seeing a 25% reduction so 25% increase in engagement of the doctors which means that we are able to tap into those doctors who are actually participating with the platform and we are able to assign more questions to them that's for the console let's see some of the use cases where you can apply bandit algorithms so one of the common use cases people refer is with AB testing so user comes to your platform you have two versions of your website let's say you know the true conversions which is like 0.3 and 0.2 let's compare AB testing with the simplest multi-amp bandit algorithm which is epsilon greedy so here the blue curve represents the average conversion of epsilon greedy and the green curve represents the average conversion of AB testing so for those who don't know about AB testing AB testing is a place where you run an experiment for X number of trials you randomly show one version to each user after you finish the X trials you pick the version which has the most conversion rate so as AB testing was doing a random assignments the average conversion was lower than epsilon greedy epsilon greedy being the dumbest of all the multi-amp bandits was still able to perform better than AB testing but after 1000 trials AB testing starts to perform better because it picks the best version which was version A and shows that to every user however our epsilon greedy is still exploring 10% of the traffic randomly to each one of the versions so there are two points that we can take from here if the behavior in the versions changes it's good that we explore and bandit algorithms would be able to adapt to those changes in the version on the other hand there are methods in bandit algorithms like annealing which will make you explore less as you collect more data so that you can optimize this graph over AB testing some of the other applications are if you want to send user notifications and you don't know what time to send so you can apply bandit algorithms to come up with a personalized time for each user and similarly news recommendations so you might be like pretty much across most of the data science journals so you would be seeing a lot of data science articles but what if if you are interested in bitcoins and never come across such articles so bandit algorithms would occasionally explore your interest in new areas which you have never seen before and if you like them you would be like exploring new areas so if anyone from the audience are from in shorts you have a cool new project to try so these are the two references but if anyone who wants to get into multi bandits bandit algorithms website optimization is a very good start of book written by John Miles White and the paper a contextual bandit approach to personally news article is the one that we have implemented so lastly when to use or not use bandits so if you have a short experiment like a facebook campaign or a marketing campaign and you have couple of different versions to experiment let's say you have a message like sign up and get 30% off or please sign up and get a discount of 30% and you don't know which of these versions would give you a maximum conversions you don't have time to run an A B test and come up with a better version so instead if you put bandit algorithms it automatically optimizes for the better version and redirects the traffic to that version also if you have continuous experiments like in consult we have doctors who keep adding moving away from the platform or their behavior keep changing as we were looking at Bob so if such a case such a case is there you can use bandit algorithms which continuously adapts and tries to optimize for the conversion so when not to use for bandits is when you want to run any test and want to infer which version is better than the other so usually bandit doesn't care about what is the version just cares about the conversion so A B testing should be preferred there and like one example is clinical trials questions so you mentioned about the bandit algorithm and the A B testing where the trials where A B testing started improving after a certain number of time frame in one of the slides so when do you think what or what do you tell as a cutoff that you will save that I want to switch from A B to bandit so what is the time frame that I am looking at usually it is used as an alternative to A B testing so A B test all it does is it finds out that version which has highest conversion and just shows that to 100% of your traffic but do we need to show that same version for every user maybe the other version is close enough or maybe if you use more traffic the second version might be better than the first version so bandit algorithm tries to adapt to that so instead of A B testing it is an alternative to implement it is not like after A B you can use bandit yes that is a random example but the number of samples depends on the power of the test you want to have the difference between the options if both the versions of your website are roughly the same then you need to look at more data to make a conclusion which version is better bandit would be better because it automatically tries to maximize for the conversions it does not look at which version is coming out to be good but if you want to have a stable website where you just want to have one stable version then you can choose A B testing and like have that version we will take another question you can take this offline any questions basically when the algorithm converges it is more or less like an A B testing right I am sorry when the algorithm converges so then it is essentially the performance would be like A B testing so when the algorithm converges you would still be having some amount of exploration happening in bandit algorithms always you would have some percentage of traffic which would be assigned a random page or a lesser efficient page just in case the behavior changes you can set that you can actually set that in the bandit algorithms to explore less as you collect more data more questions my question is about the exploration probability two points one is how do you determine the rate that you reduce the exploration probability how do you determine that over time and the second how does the context of the problem influence the size of the exploration probability for instance if it is about news in some ways people might have more of an inclination to explore more so they will tolerate I did not get your second question so the size of the exploration probability how do you think about the influence of the context of the problem on that size so if you take news for instance news will probably be more open say one out of five to have a random article it does not hurt me that much and there is every chance that it is something that is exciting but say in something like getting medical advice five cases if you give me a doctor who is not the best qualified to answer that problem I am probably going to be more upset about that what is going to do more damage so how do you think about the context influencing the exploration probability so if I understand it right how do we define the exploration probability based on the context so how does it shrink over time so if you are sure that all the arms all the multiple arms has got enough samples so you can have simple measure like you can use any log of n or anything very simple like entropy anything which can give you some measure of how much data has already been seen if you have like 1000 samples or 2000 samples already collected that can give you a measure of how much exploration has already done so you can reduce the exploration probability so it is a 0.1 divided by log of n something like that it keeps decreasing as the n keeps increasing so the second question it depends on the context and the conversion probability so how critical is your conversion probability in a health case scenario the conversion probability might be super critical than other context so depends on the use case last question anyone thank you that was a great talk so now we are going to take a short 30 minute break for evening tea we will reconvene at the hall at 4.10 pm sharp we will start in ethics in OTR on ethics in machine learning which will have fairness, accountability and transparency in machine learning also there are dinner tickets available at the ASIC counter the price is 3000 rupees access to dinner and networking with the speakers the dinner is at blue or bowling center in phoenix market city whitefield and remember to bring your badges for registration and check-in tomorrow morning fresh badges will not be issued tomorrow and submit your conference feedback at the ASIC counters your feedback helps us make the conference better I have also information about a lost login code device if you know somebody with the lost device that generates login codes it's from a brand called gemalto so you could redirect them to the ASIC staff and volunteers we will return that device thank you


What is going on guys? Welcome back to the channel critical overlord here She's on my scream sickness video here again today talking about a couple things We're gonna talk about some potential character names that might be true Considering the other character sheet that came out and the initials lining up with these names that are now on IMDB talking about the Return of Cinema Club in scream six and gonna talk about Melissa Barrera's recent comment She's made and talk about a stab museum that could appear in the movie I do want to shout out you K and Salem if you're listening to this shout out to you guys Gonna know you guys talked about us potentially getting a stab museum as it as it pertains to that image We saw of the outside of a theater But on the inside we saw like glimpses of what was stab posters hanging up on the inside And now we got a new photo that you see here on your screen That looks like a robe that belongs to ghost faces being placed up in a position In which it looks like it's a way to like kind of have something on display in a museum And it can only be something else that that is going on in that in that up location Besides a museum, but I am now on the side of thinking that this is a museum That is in tribute to the stab movies that have been coming out over the years So we'll see if that's ultimately what happens or what I had to think about was correct as well that Mindy somehow Convinced her entire cinema cinema class to put on stage productions of the stab movies So talking about these new comments from Melissa Barrera She was having a sit-down with e-talk And I'll leave a link to one of the posts that I was able to find the clip of Shout out to you Tristan. I was able to find a clip that you tweeted out so I'll leave a link to your post and It said what she had to say mostly was a lot of what we've already heard from her in another one But she did highlight some important things She highlighted how Matt and Tyler have more creative control and the movie will be on another level because of that We know she's talked about in the past how screen 5 is basically like them paying homage to West and now they're gonna get to do Their own thing so I can't wait to see what that entails and she did say we'll get to see more of Sam and Gail So I know a lot of people who have already been looking forward to seeing another interaction between Sam and Gail Yeah, I guess you'll get to see another one in scream 6 And if you're someone who's been following a lot of the behind the scenes not behind the scenes But the filming process is going on currently out in Montreal We've already seen that they are gonna have a scene that at least was shot where she is having a communication between herself Not between herself I meant to say where Sam is having a communication between Tara and Gail who arrives on scene after what I can only assume was a murder scene so She also stated in this sit down with each e-talk that there will be real life elements incorporated that keep the meta aspect alive, so real life Real life things or real life elements that could be related to a lot of different Social socially relevant topics as of right now So take your pick out of what you think she could be talking about As far as it relates to how they might incorporate some social commentary for scream 6 and how they might make it meta in how they approach it with The killer and whatever motive they end up giving the killer So take your pick out of that the other image I wanted to show you here was this one here on your screen With cinema club as you can see in the image being highlighted as one of the things that's going on on campus If you can't see it, it's too small. I apologize, but if you're on screen Twitter, you've already seen it as well So it's nice to know that we will have cinema club back I know people are already still clamoring to see a scene between Kirby and Mindy a Cinema club scene will be the most ideal place to see these two characters interact for the very first time And of course this might be where we get to see a Joshua Jackson appearance if he actually ends up being in the movie So that'll be fun as well because we know Joshua Jackson had a minor appearance in scream 2 So it'll be nice if he actually shows up again in scream 6 If his role that's been rumored actually ends up being true and he shows up as like a professor And that leaves the cinema club course or something like that But I know a lot of people would more rather have the scene occur in cinema club between Kirby and Mindy If that were to occur sure it'd be very fun I can't think of a reason why Kirby necessarily will even be in college But again, like I've made mention of in other videos college isn't only for people who just recently graduated high school Kirby could have just decided to go very late given everything. She's been through over the past decade or so So the other thing we need to talk about are the character names now a character sheep that I've talked about in another video Had and I was also talking about a name in particular when I put a video about the audition tape That was leaked or not leaked what I discovered and made a video about We had the names of Derek Eric Alicia and Claire now if you go over to IMDB They might have actually changed it by the time this is released you have the names of Allison David and Carly I guess also Ethan now Allison could be Alicia David could be Derek Carly could be Claire Ethan could be Eric now Why does that matter the the the point that I want to get at is like many people might remember When screen five was in production you had this thing going on where it was Sarah, but it actually ended up being Samantha You had this thing where it was Teresa. It actually ended up being Tara You have stuff like that going on where the names were cold names But when we got the official names their initials were still the same And it just was a different name all together with the same initial So if this is the same thing going on here Those might actually be the names of the characters going into scream six or it could be that someone picked up on that formula And as of course went over to IMDB because you know anyone can edit IMDB and it decided to play a Game with the fandom get us talking like I'm doing right now and it's not true But I do think there's a chance that this could be true Given the pattern that it has going off of what we had occurred last time with screen five when the character names were initially Sarah which ended up being Samantha and again Teresa which ended up being Tara so on and so forth It happened with a few other characters as well But I'm really excited for scream six can't wait to see the movie next March I also believe filming is supposed to wrap next week on August 9th or 10th out in Montreal So hopefully we'll get our first footage of the movie later this Later this year maybe in the month of November or December. I know something will come as far as like a full-length trailer I think it probably best if they save a full-length trailer closer to release maybe around January or so and give us like a Short teaser in the month of October just to get get us excited for what's to come I can't wait to see all the official press runs that come out and I know people are still like well Where's the Neve evidence? Where's the evidence that Neve is gonna be in the movie again if Neve Campbell is indeed in this movie because of a secret Negotiation that was made. She's not gonna come out and say it They probably went above and beyond to make sure that her Revelation on set did not get disclosed. She's probably already shot her scenes and left And I know the same thing is probably actually going on with Hayden pants here who we know is in the movie We haven't seen a single glimpse of her We're not gonna know officially if Neve is in the movie until it comes out in March I again am on the side of believing that she will indeed be in the movie But let me know what you guys think about all this down in the comment section below What do you think about the potential chance of getting the stab museum and all these other things if you how to re of course Make sure you subscribe turn on post a case you never miss a video in the description I will have links on my social media accounts on Facebook Twitter and Instagram You can message me there of course to let me know if there are any movies news or reviews You like me to cover in the future with all that in mind guys. I will see you in the next video