22 Burst results for "cagle"
"cagle" Discussed on WFAN Sports Radio_FM
"The ice or whatever your record or whatever I'm still skeptical we're going to see it I really am Casey Cagle Mack joins this Casey how are you Hey Joe I'm a few years younger than you but I'm baseball purists to the however I'm really concerned about baseball's future and I have a little bit of a room maybe it's not that radical but it's at the lower levels none of the major league level maybe they should think about going to three balls and two strikes for for a council you know instead of four balls and three strikes especially at the high school level yeah and younger you know it with maybe entice more kids to participate in the sport move the game along with more I mean I think that that is the you know yet that is really really really messing with the fabric of the game right four thousand two strikes I mean that's not your real dad is you know that's much crazier to me that happen what is thought of second based on the fact that I had to ask really yep all god yes I'm here yeah of course what what what is it going on eleven year old have to page two for more look it's if you want to have a three balls and two strikes in the little league if you want to have it in you know tee ball okay whatever you we know what you're talking about you won't have eleven year olds at that I got no problem with that but if you're talking about Major League Baseball you can't go to you can't go to three balls and two strikes a bit bad baseball right I didn't say I didn't say major leagues I'm talking about the future of the game in order to get more kids maybe to participate and get excited about baseball you know the the thing is let me ask you this K. C. so what what age would you go back to regular four balls of three strikes what would that be maybe like like fifteen like in high school yeah I like to like March you know I don't think that's crazy are you talking about you know it as young kids playing baseball and you want to speed it up a little bit and make it a little more enticing I mean I wouldn't have a major problem with that but I mean at some point you know sooner than later you got to get back to you know four balls three strikes and you have to you know but but showed you know the other thing we hear about kids playing the other sports is because they move along lacrosse basketball football you know these boards are fast moving the kids you know they engaged you know how do you have a kid who's eleven twelve nine years old they engage when the guy on the mound is you know has the ball it throw so many pitches and the kids in the outfield picking daisies you know well I look I don't think it's a crazy idea for you if you're looking at you're talking about kids that are ten eleven years old you know I I don't think that's crazy but you know but you have I think the reason that a lot of guys are playing baseball is because you don't have you know or what you look at it Casey thanks for the call you don't have instant gratification of baseball you really don't I mean you gotta you gotta wait a little while before you get paid whereas in the NFL in in in in the basketball you get drafted you get paid right away you're pretty you know your high draft choice you're making money right away your baseball you gotta wait a little while you're generally so you're making money I guess they asked you know signing bonuses and all that that they have put yeah it's a little different situation but I mean three balls and two strikes if you're eleven years old is fine but the that's that's were you know we would really need to stop eight seven seven three three seven sixty six sixty six but I go in the afternoon event on vacations will break we got Tim brown coming up at four thirty more your phone calls we're here till might at six that that's the sound of Michael severe hard at work Michael.
Secrets of a Kaggle Grandmaster with David Odaibo
"All right everyone. I am on the line with David. Dipoto David is co founder and CTO of Analytical Ai as well as a Kengo Grandmaster David. Welcome to the PODCAST. Thank you SAM. Happy to be here what? I'm really looking forward to this chat. I think this is the first Time I've had a sibling on the show. I interviewed your brother. Stephen Dipoto back in July of last year where we were talking about retinal image generation and he was up on twitter recently. Talking you up in your conquest on capital and I thought man. I've got to get this conversation as well. So congratulations for being the first sibling. At least to my knowledge on the PODCASTS. Ed Thank you. Why don't we start by having you share a little bit about your background? How did you come to work on machine learning when I started my PhD? I was interested in machine learning. I wasn't quite sure where to go back then. Those a lot of literature review a lot of digging around and back. Then you know I read a lot of papers. I I kind of tried to get a sense of where to go to get useful information and a K go kept creeping up and coming up in various in various things I read and so I finally join cable and the kind of a kind of put it gave me an opportunity to put some of that Theoretical background into practice and it made a lot of things made a lot more sense when you actually practice. So what were you studying for European? I was looking to investigate. Deep learning medical imaging and how the advances in deep learning at the time could be applied to various medically mission problems. And that sounds like an interesting runs in the family. Yeah yeah he does you know besides from any kind of genetic contribution what sparked your interest in that I wanted actually the first Niro network I have. I wanted to see if I could build something to recognize facing an image and this was actually before I started my I might these topic and so that was really how I got really interested in machine learning. Because we're something that was kind of blindly doing and you know as you're digging around. I wrote my first neural network in in C. SHARP. Which was it worked horribly. And this was in twenty twelve and you know That kind of made me realize that you read about how neural networks you work and all these things but you never really. I never really knew at the time. What the appropriate frameworks to us. And and and how you go about it basically so So wh why C. Sharp Microsoft developed a Microsoft. I was at Microsoft Enterprise. Divall bright had the Microsoft certifications and stuff so I was pretty good that C. Sharp at the time so I think. Let me let me try to do this. Sharp annual is just the absolute wrong idea. Wrong approach to us at the time. But you know if you have a hammer you know. He tried to so. If I'm putting the pieces together correctly you were the Microsoft enterprise developer before you went back. What prompted you to go back for your date. Well it's something I always wanted to do. You know after I got my masters I worked in industry a little bit and I always knew I needed to kind of pivot back and and complete being she so I was kind of it was something I was in the plans before a by one or two after being in school for so long Oregon gained some experience. Yeah Nice and so. He started working on neural networks. In C- Sharpen Hanegev. Banged Away with that hammer that you you had and it was. It was absolutely wrong today. I just didn't know where to go where to start back. Then you kind of were pursuing this formal research and education with the PAC but then you realize that there was can have a practical complement to that in Cagle How did you with you know once you can create an account and join cagle quote unquote like? How did you actually start? Did you just jump in and do a competition so I actually created my account for the first time I think it was two thousand fourteen? Two Thousand Fifteen And I think actually I I looked around I read. I didn't actually start competing too. You're later okay. So I I joined and then I just poked around and then later on I kept working on my stuff and I got better at it. I kind of identified. The right frameworks to us. I got a little bit more comfortable and then I think I did my first competition in in two thousand sixteen. And and that was that data sizable at the time that one was for trying to detect the volume of of of education in In heart cardiograms are so that was my first competition and that competition. I did okay. You know but I didn't do really well but it was good experience kind of got my feet but Yeah and were you. We had you partnered up with folks for that one or were you working independently. Yeah those are the other guy that we're a Jason Zinc where both in the same program and we're both doing kind of Medically mentioned so. We went into that competition together. Okay Cool and so that was twenty. Sixteen fast forward to twenty twenty and you've seen quite a bit of success in competitions. Can you talk about some of the your Maurice Results or the results that you're most proud of yeah so Shortly after that competition there's another one that was For also medical imaging related competition. It was for segmenting ultrasound images in the neck and there was Fortunately for me That competition is actually becomes bested. So there was a there was a new architecture. New Paper that was written on this thing called. An encoder Dakota network is called a unit and it hadn't really been used on cable before met architecture and had read the paper about the architecture and when I read the paper because I thought about this too you know like how do you say maintenance something I've been thinking about. But when I read that favor the ideas and the in the paper made a lot of sense and it almost seems so obvious that that was what you're supposed to do to segment images volition neural networks way. Try to preserve You try to preserve the localization information from the images and things so that paper really sparked my interest. I I read it. I was I was a fan of that. And this competition came up and somebody mentioned it and Back there knows a framework called LASAGNA and Theon oh and those frameworks are deprecated now but back. Then those actually what? I did what I used and I I. I said okay. I'M GONNA give it a shot. I'm try I'M GONNA try to implement this unit architecture and I did and I had no hope of actually doing well in that competition but I said let me give it a shot I implemented. I trained the network and to my surprise it worked and I was so I was just so happy that it worked. I had no idea I was going to finish second place in the competition so so that's probably the one most proud of because I had to hack a lot of things back. Then you know there was two thousand. Sixteen there was there was no there are not a lot of best practices and how you do segmentation even back there so there was this. A lot of the frameworks out. There had not specified how date augmentation mention. You know for imaging masks because when you train when you train segmentation networks to avoid over fit in you have to manage the image and the mask together and you have to find the right kind of maintain strategies and things like that so I have those. I created a good argumentation strategy. Good argumentation framework. And you know. I saw a lot of people in challenge struggling with this idea. You know and they were probably implementing two right augmentation strategies because Like I said this was the first time to use his unit in this competition. But I was kind of a little bit ahead of the game back then and So yeah so I finished in second place annuals. It was probably the proudest challenge.
The Care and Feeding of Data Scientists
"Talking about data signs management. This is something we've been China about for a while leading wrote and a Riley report together on this very topic a few months ago and and thought it would be worthwhile to get in and talking through. So that's what we're doing today talking about once. You have a data science team in place. How do you keep those learning? How do you keep them growing? How do you think about moving along in their careers? All that good stuff. So you're listening to the year diversions in our last couple of episodes which listen to strongly recommend that you go back and pick goes up by a little bit of recap here so we talked a little bit about getting into data science and the different types of data scientists. How you assemble a team and why it's so important to get the right blood in your team once you have? The team assembled or you. How kind of critical mass us most of your time? These days is not your managerial time by not beyond hiring. But it's instead on growing your not making sure that they're learning and they're sticking around. They're happy hair progressing in their careers. You say yes yes yes sorry you can't you can't you can't hear me now so and this was something that we it's your three chapters to talk about if I recall correctly because it's really important and it's a for me this the the stuff. That's not always obvious because sometimes if you're a good manager you're working super hard and but people don't see the things that you're you know fighting for the process of the you're putting in place two two happy I don't know maybe maybe it's a little bit cynical but sometimes given the only time you hear about is when people are unhappy with their happy sounds about right. Yeah I I think that's just as of nature of the beast so but when we were together we together for a couple of years. I remember even when I started at that job. There was a lot of. There's a lot of stuff that was in place when I write the action that you were part of starting some of this certainly part of of continuing the things that have been started before your time of that created a really nice learning environment and so I think that now upon on reflection I realized how important that was for me as a younger data scientist as a way of learning and and stay happy so if as you can get a little bit of detail about what was the you put in place out of things April so yeah it's funny. I actually don't know that I can take credit for having put in place a lot of the good things that we had But I can't take credit for stealing them and putting them in place in my current company actually But there's actually I think one of my favorite topics at least one of my favorite topics from the book and the way the way we talk about it in the book is kind of this idea of like foam. Oh like fear of missing out that like data scientists really have this feeling that like if they're not using cool new techniques learning things that they're like falling behind and just again anecdotally like I think a Lotta people quit jobs or go from company to company because they feel like they're getting stagnant or they're not learning anything anything or doing anything interesting at their company so some of these things that we had in place to help combat that that feeling that people can have so. What kinds of things are we talking about so we're big fans of of just a simple idea of having a journal Club where folks get together? Read a paper of blog posts. It's like something like that. Maybe they've ideally they've read the paper of the blog post but that's not necessarily mandatory and get together and discuss it Someone who has like selected the paper could maybe give the short presentation but really you can just do it over lunch and spend an hour talking about a paper blog post like learning something new dirty secret. You never read the paper. I know what I was GONNA say. Everyone has been very often but every once in a while I'll realized that Journal Club is on a topic that I wanted to do on podcast anyway and then I'll make sure gotta check. Oh all your listeners. Know the secret purchase but and we have like A. I think we find that a great way for people to keep learning stuff but it's also a good opportunity for the company because a lot of interested engineers or analytics people. Oh Com people who are a little bit Interested in getting into the field and it's just a good rates like socialized data science. Like around your your company One thing we've done a few times he's like when we forgot to select paper is to have like a cold. Like Davis is movie night where we will find a talk from an interesting conference. Like Pie de puts video video online a lot of conferences. But there'd be online and we'll just like sit for the hour and like watch talk a conference talk together and I think people often accumulate these lists of things they wanNA watch and they don't have the time for it and that's just another way to get people like watching something Learning something so journal Club thing. That were a big fan of the second one I think is like some sort of dedicated halftime and I definitely did not start this at our previous job and I definitely didn't even come up with the best iteration that I think that we've landed John so I've never three companies that have done halftime we've and seeing many flavors like one flavors like that we at a previous company was like half of every he Friday. You got to do whatever you wanted. Essentially another one has been like what is like a full day full day once a month. I think that's where we're doing a full day once a week at some point either way like that in those like short increments I find. They often don't work very well for two reasons. One people don't aren't able to at the time Apart like it was just half a day every week like you just get pulled in a meeting. So you'd get normal work like you can't actually. You can't actually do it even if it's like a day every other very hard at at the time aside so then we've tried whole team accolades and spending two days like working on something a team. We did cagle competition as a team wants. It's an and that has been fun has advantages but I think the the downside of that is that people can't work on the particular thing that they're interested or they want to learn about. Yeah Yeah So. That's a problem so I think both what we did at Civis and what we do now. Here is the idea of of individual hack weeks. And how often you do them depends is on your company. And what you what you can do. We do them quarterly. But you can. You can even do them once or twice a year but the idea is basically that each person gets to spend a dedicated week on like a hack project and because it's a whole week retire them to treat it like it's a vacation and plan for it like way out in advance and you know people can take a week advocation and get out of meetings and projects so do the same thing with this hack week actually set time aside a week as long enough to make meaningful progress on projects. It's like to actually get end to end on a prototype or try a new software package or open source somethin- and then the last bit is like some kind of bit of accountability to make sure people are actually doing something so Having a slight plan in place ahead of time that people can look at and then doing a presentation to the rest of the team at the end is super important so We do it on Friday as well help like a forty five minute presentation where the person that was on Hack Week. We'll walk the rest the team through what what they've done and so the rest of the team also gets to learn something new and cool but then that person realizes actually have to do something. Because I'm going to get off in embarrassments off. I have nothing to show for my
Keep the Spark (& the Kids) Alive with Larry Hagner
"I started being asked to speak and I'm like speak-out like what do you want me to speak on like I'm not an expert and they're like well no that's the thing like you're not an expert and that's why it's kind of like more of a mission of in the trenches because I get to have conversations with people who are much smarter than me that you know about topics like this like sex and intimacy that house changed yeah about sex intimacy house how has that how's that going it's actually we have the best sex and the most frequent than we've ever had in the last few years in the last few years I would say that last five years so much so that we keep having these kids so we need to like sleep in separate bedrooms those points but what I can tell you is all these things that I was doing just really wrong was it before and and a lot of it started outside the bedroom you know these conversations that I'd have my wife were just terrible doc I know you recently came on my show again and we talked about like how you you always come to conversations in the defense you know and I was so guilty of that plus I just I was very selfish I didn't love her and her love language I didn't I didn't do things selflessly I kind of have my own agenda I guess what you're not getting your needs met getting my needs met like and I even even when I would do things like years ago like I would do this do acts then she'll probably WanNa have sex you know and then if she didn't then I'd be pissed because that expectation was let down this unspoken agreement how did she not know that brazenly you're thinking your head scheming to get sex without amnesty talking about I think a lot of guys you know like it or not that's the way some of US opera hours Oh different yeah so you through having conversations with her so wasn't always incredible sex you had to work on talk about it and realized what her love language I know you've got our subscription the box and you say you were described so as box box it's true you guys we have a new one out this month date night it's awesome because we only okay so tell me where it is now so your sex life you say it's great hot and better than before how how did you get there there was conversations was it prioritizing was it I don't know you tell me so a couple of different things so the couple things that we we now we now talk about that was number one we talk about it really openly and instead of like hey why don't you do X. More right because I think we can all be we're all guilty of of starting a conversation like that I like to come to a conversation of like hey do you remember that time when you did whatever or we did whatever how can we have more of that thing yeah how can we how can we do more of that or if we were so like for instance We were out last weekend and we were at we were just you know lunch together on a Sunday we were watching baseball game to get we're not even baseball fans like we were just out away from the kids away from the cameras and watch baseball right Sunday afternoon and we were just talking a good time we're re we're really connecting and then she's just like let's do something crazy I'm like okay what's on your mind and she's like I don't know she's like but just something that's the ordinary something we wouldn't do something Kinda Naughty and I'm like let's go get a hotel room like four like just a couple flowers and she's like well it's not like we can stay there I was like who cares they don't care anyway they don't care if we'd there for an hour we leave or what so we did and it was it was so cool because we pulled up to this hotel you feel like you're doing something totally wrong right it's almost like you feel like you're having an affair yeah like you feel like a teenager again like like we shouldn't be doing this day you know the kids are home with the babysitter and we're like yeah but that's why it's awesome yeah exactly something so outside the the the other cool thing too is that the one thing that I can I've definitely learned about my wife is we have really amazing sex when she's relaxed and when she's more stress free though a lot of women yeah we are stressed and anxious and we're not relax me are not going to be in our bodies feel safe road and let go okay so she lax and relaxed hotel we took our time I mean it was it was really hot I mean it was absolutely amazing and there was like no no laundry for her look at or you know kids like that were Mike come run in the room we just got to be ourselves and now it's just that was so cool and then we laughed and we were like Oh yes story I love that so so in looking so it sounds like you guys have worked on your obscene and looking at your five dimensions of fatherhood sack has they're so where does it fall in between finances health marriage connection with kids in leadership health marriage marriage well health health self care right so care but yeah having dairy marriage we we we truly view that there are four pillars to that one is self care one is partnership and partnership is like more of the business side of marriage like it's the NAS so sexy things to talk about like the finances the schedule is all that just making sure we're on the same page with that and then there's friendship like hey do we actually enjoy each other like are we at actually friends and then the fourth fourth pillar is sex intimacy okay got it so it's in your pillars but we have to break it down they do yeah we're gonNA take a break we come back even more Larry Hagner obsessive you're doing your exercises regularly I mean they do stop those sneeze impeach situation and and they lead to more intense orgasms I mean that's why we need a strong pelvic floor and honestly hate to break it to you it weakens over time it just does which is where bt L. M. Sela comes in and trust me there's a good chance it can change your life so check this out BTM SELA is a large share that you sit Dan Foley clothed will use electromagnetic pulses to deliver eleven thousand cagle exercises in single session. I'll say it again just in case you didn't get shit because I didn't believe it either you sit on this chair for twenty eight minutes and when you stand up you've just completed eleven thousand cattle contractions now I made my Tampa years ago just to help us all stan track but I don't think he'd ever get to eleven thousand bt L. himself is next level stuff and people all over the world have been amazing as by the results until just for women I mean BTM SELA has FDA clearance for all forms of female and male urinary incontinence essentially
Deep Reinforcement Learning for Logistics at Instadeep with Karim Beguir
"Mark welcome to the A. I. Podcast. Thanks them. It's great to be here. Also let's get started by talking a little bit about your background and in particular deep learning with structure data that is a topic that you know folks just starting to talk about and in fact via the meet up group in association with The podcast we have affirmative a fair amount of experience exploring this through the fast. Ai Steady groups that we do that's a big part of one of the lessons in in that course but I'd love to get a sense for you know how you came to be interested in this particular topic enough to write a book about it sure sure Sam so my my Akademik background is from artificial intelligence a couple of winters ago so I studied studied at ut with Graham Hurst back in the late eighties and it was all symbolic back then and there were some interesting use cases but you know it to alert extended to it didn't work work and I went to work for IBM had a had a great career there learned a great deal spend a lot of time in DB two relational database product from IBM and about two thousand sixteen became evident to me that Arthur's intelligence was starting to work there were things that were actually working became general general knowledge and dot re ignited the spark in me so I did Andrew intro course and the fast. Ai Course so we'd had Adam introduction to deep learning and I was very interested in deep learning and the promise of that and one of the things I found a little bit frustrating as a lot of the cases particularly outside of the context of the fest fast fast. Ai Course were to do with images or or audio they weren't structured data and what I was looking for is. Can I find a way to use this in my Mike day-to-day work because this was it'll be very useful and I wanted to learn more about it and the best way to learn about it is to use data sets that you're familiar with so when I did the the fast day I carson this would have been version. One of the core so has been through a couple of duration since then and there's the section on doing deep learning with with structured data and that really really sparked my curiosity. I thought wow this is this is really cool so they'd look around for some code to have a starter kit to get to get going and it wasn't wasn't easy to find but there was some cagle competitions people who've been working on structured data sets and applying it to deep learning some very elegant. Little Zainal's that Rothman stores resin and the like exactly exactly and I was really impressed by some of the work that I saw there is very elegant very very straightforward and good for me at the stage was at the end to get started to start doing some coding and at the time I was responsible for the Support Organization for Gabby too so there were there's tons of data there hundreds of tickets coming in every day lots and lots of data and I thought it'd be good if we could apply deep learning to to sort of see we can do some predictions that are useful so I built up a prototype model to predict how long a ticket take to get closed and that's you know seemed it worked reasonably well and then did another projects taking what I've learned to predict duty manager calls so those are cases is where a client beaches appointed frustration says I'm done. I'M GONNA pick pick up the phone and get something happening with this particular problem so applying what I've seen from some of the colonel's in Cagle and using the data that was available credit these prototypes and I've learned a lot doing that and they were I think they turned out fairly well but one of the problems with with those prototypes was that the data was obviously proprietary couldn't share that in there's a very strong ethic. Is You know in machine learning data science to share results so I started to look for a more general data set that I could use to apply deep learning to structure data and wrote. I've written a few blog posts on medium about my experience with the the predicting time to resolution and predicting duty manager calls and Manning got in touch with me and said. Would you like to write a book kind of pull this together and that's dot. That sounds interesting sure it's it has been a lot of work. It's and I've certainly I've certainly learned a lot in the course of doing that and one one of the things I've done is create a sort of a full end to end example using an open data set which is to do with the streetcars in Toronto Tron US my my hometown now and it has a very extensive Streetcar Network. Are Light Rail system that runs on regular roads and yeah. They're great. They're efficient. They're relatively cheap to run their cheap to create much cheaper than subways. The problem is because they share the roads with irregular traffic. If they break down there's a delay it really exacerbates gridlock so the city of Toronto publishes a data set that describes all of the delays that have happened for the for the last five years and I thought well I'm going to brought my sleeves and try to create a simple learning model to analyze this data and see even come come up with predictions to predict where they're going to be strict guard delays and hopefully be able to prevent them so that was kind of the the the path I took and that's how how that was the genesis for the book and so should I assume that that that worked that you were able to come up with a model that predicted did the Streetcar Delays or Predict Streetcar Delays with that data yeah. It does a decent job. It's not a huge data set their boat ninety thousand records Kurds right now okay so you know there's some some limitations but certainly for the purposes of of helping somebody who's going to be taking a trip. It's you know the the accuracy is is is good enough to be to be useful but more importantly for the in terms of learning exercise. I think it's it's it's useful useful because it's an open data set. It's big but not so big. You have to deal with the problems of of big data it. It's very messy so there's a lot of work to be onto prepare. The data which I think is a is a good learning experience and it has various different kinds of text data. There's categorical data. There's some continuous this data so it has a lot of it's it's big enough to be interesting but not so bigger overwhelming and I think it's you know it kind of makes a decent end to end example to to go through the go through the topic awesome awesome jumping back to the couple of projects that you worked on when you're at IBM in particular this looking at how long it took to close tickets when I think of a trouble ticket use case and when I think of that trouble ticket use case I think of you know not just structure data is being useful but also the content of the ticket itself so textual all data more like the application of NLP Did you use only meditate about the tickets to predict the close time or did you also use. Is that content. That's a great question so I did use the content. There's all the tickets had a description description could sometimes be two lines like you suck talk a little bit more elaborate than that sometimes it would be a paragraph of of lots of detail but that description was really essential because that's kind of the initial customers sense of it's now what what they found and that was a simple the model included a simple recurrent neural network to to deal with that data so it's the the the text field token is used in beddings and then there was a layer are a layer that was applied in the overall model to take that that text into account and it was interesting the the difference they did some experiments including. I'm not as a feature and then excluding it because it was it was fairly expensive. It added some some links to the time it took to train the model and it made a reasonable difference like it was between three and four percent the accuracy if this if this field is included and that really exciting that's really something and the other thing is that these parents all said that particular field is the description field so all of the text of the ticket it no. It's just the description. The text of the ticket was wasn't available to me at that time so it wasn't oh sometimes that there there could be the equivalent of a one hundred pages of text so all always dealing with textwise was. Vp was the description so it could be up to five hundred five hundred six hundred characters altogether got so that's typically the the textual show description of the issue either has provided by the initial customer. Who's WHO's admitting the ticket or whoever the a support rep is that is taking their call you would always be the customer and that was okay who is intentional to say that was part of the whole idea of the model was to only take data that was available when a ticket. I hit our system. Okay so description would be there. There are other things obviously like whether the ticket had change in severity. They wouldn't be available when the ticket was first opened. Because that's you know it's kind of a data leakage problem you start to take over and say oh that looks use use data that you don't actually have available to you when you're making the prediction but the textual description of the problem coming from the client was always there in the ticket was open and that was the that was one of the features that was fed into the model okay and so you said that the importance of this feature is this features presence gave you an additional three percents increase in accuracy that is relative to what without it how how much of an impact did it have so that was the indy in terms terms of the absolute accuracy so I think at that time it was probably going from seventy three to seventy six percent accuracy leaving taking that economic field out or leaving it in
"cagle" Discussed on Sex With Emily
"I'm talking breakup how to get through them repair from them and move on plus. I'm answering your your emails topics include rejection breakup there so difficult but it is possible to heal so here's how to do it dildos okay so how do you get the most pleasure out of your self powered sex toy so he fell in love with your wife and in love with a co-worker <hes> what do you do now and so your partner wants a threesome but you're are starting to think there's alterior motives. How do you move forward all this more? Thanks for listening you don't that I'm obsessed with you. Doing your exercises exercises regularly. I mean they do stop those sneeze impe situations and they lead to more intense orgasms. I mean that's why we need a strong public floor and honestly hate to break it to you. It weakens over time it just does which is where B._T.. L. M. Sela comes in and trust me. There's a good chance it can change your life so check this out B._T.. ALUM SELA is a large share that you sit in fully clothed will it uses electromagnetic pulses to deliver eleven thousand in Cagle exercises in single session. I'll say it again just in case you didn't catch it because I didn't believe it. Either you sit on this chair for twenty eight minutes and when you stand up you've just completed did eleven thousand cattle contractions now. I made my camp years ago just to help us all stand track but I don't think he'd ever get to eleven thousand B._T.. L. M. Sela is next level stuff and people all over the world have been amazed by the results and such as for women I mean B._T.. L. M. Sela has f._D._A.. Clearance for all forms of female L. and male urinary incontinence essentially that peeing or dripping <hes> you know when you don't want it when you least expect it jumping.
"cagle" Discussed on Sex With Emily
"She only use one toy. One what she only uses the same toy. Yeah. Yeah. I mean, here's the thing. How old? Dogo too. Yeah. Great orgasm with the dildo. No, okay. I mean, oh, well, maybe you listen to me that we all get set in our ways. And I believe how old is she? She your age fifty two. There's other ways to train your we can all learn different ways to orgasm. I believe. But it's a mindset we have to put in the work. And I agree. I've been telling her everything you talk. I could free got gotta breeze. Yeah. Gotta bring Betty exactly Betty, you gotta breathe and there's different kinds of Bradley, breathe deep. Deep breaths down to the public floor. And then there's like shallow breaths that kind of help quicken arousal a play with their breath, and relax, and maybe Betty could do some fun playing together where you're taking the pressure off of orgasm. And you guys are just exploring each other's like Arado zones and just get to relax and chill and massage. He never liked. She's not relaxed. So she needs you. I'm glad you're in her life right now. But put Betty you have to do your best not to like use that language of shaming her that are clips broken. And that the fact that she relies on. Telling me perfect. You can tell me. I'm cool with hey, buddy. We're good. But with her like, I just think it's like have her choice because she may be she hasn't been with a lover who was wanted to try other things and be attentive. You know, so I think that cool, but just know, you know, probably it's a comment like that women just kind of get set in their their ways and have one vibrator they loved and then I was like I'm going to stop using and tried different ones. And try different touches, you know, I've been to the whole thing. So I think. Masturbate. He's trying to duplicate the vibrator. A my you need to down there. Try something different. Yeah. Really fast like a my role. So cassettes thing you gotta warps. Here's the thing about why we're vibrators what I what I would love to tell people with Volvos use vibrators is that you have to. It said it's so great because you kind of miss the whole arousal cycle of orgasm of plateau green. Oh that whole like. Yeah. The rows will cycle through orgasms. So I think that that whole experience can be sort of vibrator speed it up. So maybe you could start doing with her as like oral sacks and like slowing it down. And then she could bring in the vibrator, but on our about arousal. That's I will figure a unit up up up up up. And then she just finished his with vibrator because he can't get over the hump. Well, how long have you guys been together? But for months. Yeah. Okay. So, you know, give her time she's been using it her whole life. And you know, it sounds like a warming up through oral or your fingers, and you know, hopefully using lube or some other fun things like that. Or, you know, I think I'm it sounds like she's open to it though. I don't have any other tricks view than what you're already doing incentives. Like like, I don't think she's broken it all, but I think it's cool. You know, women you understand their bodies. And as long as she's co with like, you know, maybe she'll get there one day, and she has a dildo. And that's the other things like doing keg goals for women really helps women with orgasm. Like when you do your. I have an iphone app called cagle camp. And maybe you guys can do it together. Twice a day..
"cagle" Discussed on ESPN Chicago 1000 - WMVP
"The regulars are checking in Dan from effingham, formerly Dan, the church cleaner. Dan, how you doing brother? Good man, how you guys doing good happy new year on the radio knocking to dust off a little bit. How's everything and we are getting crazy right now? What snow? Yeah. Right now. And it's still coming down give us the accumulation ban. What are we looking at they're saying anywhere between six inches and a foot, and we've already got sick finches, and it's supposed to snow all day today and all through the night, Dan. What did you do you like to sled? Illinois, man, it's flat. Yeah. Way we've had snow in SEC territory. D- breaking news, right? What's deal last night? I'm very could make it in. They're supposed to play South Carolina today at one o'clock game postponed until Sunday out there, Missouri. Tigers could not make it in to Columbia, South Carolina because their flight couldn't take off. Okay. In the beginning in the mid west. Like like you, Dan. Yeah. St Louis, southern Illinois all that area. We've been getting pretty good left. Oh, twelve hours or so. So what's what's our church service situation for Sunday? What's going on, man? May remember I just switched. So this is my first church service during the wintertime where it could have a possibility of cancelation. I don't know. This is I'm still the new guy. I'm not sure what their prestige. You're is. You know, what your ship you should have all of your congregation. Download the Skype. You could just sit there by have a fireside chat. Was it FDR that did the fireside chat? Yeah. Yeah. You can have your fireside chat like FDR. That's right, Dan, the church cleaner. Dan, the church cleaner podcast. One of the greatest of all time, though. What is it? Chris cagle chicks dig it. Scholars he'll glory fades. Yeah. Exactly, man. Yeah. There you go. What what is it scars glory? Fades. All we're left with are the memories made. Yes, when you know, Chris cagle earaches signed, you got an issue, and it's almost. Kiana from the replacements, right? Chicks dig scars glor- loose forever. There is a great one. Oh, my mingling. There's is Dan still alive. I'm here. Okay. There is a great. Speaking of of scars sounds about scores. There is a song by Montgomery gentry called tattoos and scars. Okay. And if y'all don't know this song, I want you to get on the YouTube machine or whatever machine, whatever, whatever. Worldwide machine or whatever. And listen to this song. Awesome. Okay. Because it's like it goes. I forget how it goes. It's just awesome. Tattoos and scars are different things. It's about this kid who's a young punk, right? And he goes and gets a tat and he sits down at the bar and thanks. He's all bad ass because he's got this tat right and the bartenders back there, and he's like a war, and it's this whole back and forth about how you you ain't been where I've been you ain't seen what I seen scars are different things. And it's tremendous. Oh, my grandfather Marsh we and our lunch one time and this guy came in and had armful of tattoos, and he's kind of fake biker and mop Argos orcas tattoos. Guys, like, thanks. Oh, man. Yeah. I got one here. He gets in his fancy yours, and he pulled his arm up, and it's like an anchor and looked terrible. And the guy goes that was not very good papa's. Like, yeah, we did those with ballpoint pens on the carrier. We were headed out across the Pacific in World War Two. Jack, please keep us posted. Hopefully, you get some people get the congregation tomorrow. Hey, y'all got some time to give you some parents advice real quick. What you got you ever you ever had one of your young have surgery. I have my little girl Mia was born with something called for business. Where her is wanted to cross. And so she had that surgery when she was a sweet tiny little, what's what what what was your situations going on with your young, my two year old boy, my little boy, he he had to have his removed on Monday, and he's a super sweet fun little kid until he's coming out of the NFC Zsa and he hoped punch daddy in the face with both. What what advice Russia what you do with that? He can he can defend himself. So that's good to know. Yeah. No, he's super sweet and loving. But then he was on looked up to that IV in wanted out of his hospital bed. And we could let that happen though. He just pull on double fist slammed down hawks mash daddy's head in glasses. He went full full Bruce banner. So what was your reaction to this day? I wanted to discipline him. But I knew he wasn't himself. It sounds like well, we'll let this slide for now. But a couple days later when he was still hitting mommy and daddy. We said, okay. Yeah. You're you're you're well up enough where this gone down very little road rage. Tonsillitis road rage. Good luck with the snow. Y'all have a good thing. Hey, speaking of scars. We've only got about a minute. But what you got you got a good one cross costs bridge, you her son house at Clemson all last week leading into the national championship game. And one day. I was sitting in a chair, and it was like a kind of like this. I guess, but it was more padded, and I had like the Mike pack that you use to talk. I had the IFP pack, but you used to hear right? I had lip balm. I had an iphone and stuff lined up. And I was being real demonstrative in telling the story really, which is a shocking you and I just with full yard sale and stuff went flying. And I went to catch it and. A hit something I think it was my phone might have been my lip balm. I don't know what it was 'cause my lip balm. In this disc. Almost like a dip ten something hit me right in the bridge of the nose. And I mean, it didn't just bleed it like a stuck pig. That's good morning. Mcgee. Broken knows your weather.
"cagle" Discussed on WLAC
"It up Mattis. So cool. Well, I wanted to bring up also, you know, you know, that you, you know, the the talent scout from the voice, you know, not to go backwards again. But you were kind of discovered the at soul shine pizza. Yeah. Yeah. Rest may may rest in peace social pizza midtown. I love. I loved soul shine pizza there man that place places. Great. It was such a cool vibe over there. I mean, I played once I became friends with Chris I pretty much just hit them up and made them. Let me let me take over that stage. Anytime I wanted which was in which he let me do. It was great. So what? So what happened when they found there? And they and they just you know, because they just kind of walk up and go, hey, man, you want to try out for the show. I was playing with my bluegrass band. And you know, we'd played there. Every Tuesday for eleven people if we were lucky and a great pizza. Yeah. And we did get great pizza eight so much of that pizza. I got so sick, man. Either wouldn't a pizza on there. Order. So tired of it funny. When you start going through the menu await I've had that to you and the pizza was so good. You know, but yeah, he just stopped due buddy of mine. He's a friend of mine now, actually, I'm and I'm always I'm always trying to shoot people over his way that that. I know that you know, I feel like deserve a shot on the show. But my buddy Tobin was doing it and he came in. He just kind of came in and sat down I got done. And I was on the road with Chris cagle at the time. And he was like he was like, hey, you wanna come in for the show? And I was like yes this. I mean as long as I'm in town. I'm not out working or whatever I'll, you know. I'll come do it. I'd already auction like two or three times before that. So just figured it was a foregone conclusion at that point. But it wasn't got me a cowboy hats and boots walked in there. And you know. Cowboy singer and next thing, you know, I'm on NBC, and I'll tell you what. And you and I talked about this before Adam. And I think sometimes the the music shows on TV and everything like that get a bad rap. But to me, I think they're kind of taking on the role of what a and our people used to do for the labels and all they're doing is just like, you're, you know, discovered it soul shine pizza. You know, it's it's you know, I think they're still just finding talent. And and hopefully, some of the better talent. But, you know, also with these people get a shop if they weren't put on you know, what I mean? Yeah. I mean, man, that's such a such a social hard thing. You know such a hard question like the they are and they are. I mean, there's you know, they're they're finding singers artists. But nowadays most, you know, the quote unquote artists, I mean, a lot of them don't write their music. So they are just kinda singers. You know, I mean, I I mean, I can't hate on the shows man it helped.
"cagle" Discussed on Sex With Emily
"Those are the muscles that when you stop and start the flow of urine. Like those of the muscles that you're working on mixture. Not tightening your butts since we just focus at our. But too much the apex and the intensity, which I talked about earlier, those do your goes for you, you literally lay back us a gentle electrostimulation. So you have to worry about whether doing it. Right. But also. So here's some specific tips because I know that it's been hard even to the beginning for me as like do. I got my category. Do I not? So make sure that you are identify them. That's a stop and start flow of urine and that using the right muscles. And then you can do it in any position some people like lying down. So like it on their knees. You like your your feet back over your head? I mean, you could figure out what feels good to you. And then you went to work on the technique. So make sure that you are like holding in your public for muscles, and then relaxing, and you can try it for two five times in a row, and then eventually lead up to ten seconds, which is what we do on the iphone app. Cagle camp. Make sure that you're not flexing your adamant, your thigh are your buttocks that you're really working on that pelvic floor, and that you are breathing breath breath breath. You've gotta breathe because I think we tend to like it's a little like it takes a little bit might take a few days to get it down. But once you get it, you're like, oh, this is it I got it. And then you are repeat them if you times a day. Have you tried doing your cuddles? Yes. So what I've noticed too. Who says that I hold my breath when I'm Tensing, and I'm like going out on how breathing how do I? I get I know what happened to the Bram. Yeah. It's really important to breathe, and yeah, you feel the strength after that. Okay. So just keep practicing on the I promise mandates the kind of thing that clicks. And then you're going to know when you're on the group. Okay. You wanna read the last one sure this is from Ruth twenty four Washington. Hey, emily. I'm a lesbian and a long term relationship of four years. Our sex life has always been great. And lately, we have been talking about bringing more toys into the mix specifically strap on collectively of probably spent three hours looking online for something that matches to simple criteria that. It doesn't look like a penis and it vibrates. That's it. I have nothing against the penis. I'm sure they are very beautiful. However, I low key feel like the point of using strap on is ninety eight percent of cases, including mine is because you don't want a real peanuts there. If you think about it aren't most recipients, lesbians and straight men yet all strap on and most dildos. Our big Vini Dick's, my actual question is as you might suppose after that rant. Do you know where such an anomaly might be found or if not strap on anything in this line in general that won't break the wallet of a twenty four year old mom, also I love what you do with your show. And I'm wondering if there is anything else out there like you in the podcast slash video world specifically for the gays. I would love to expand my horizons. Thanks for what you do. I have shared my show with my brothers, and according to themselves as made sexual gentlemen out of them. Oh, love that. Thank you so much for sharing you guys. Thank you Ruth. You know, that's a really good point though. I love hearing that people are like God. My brother has to hear this or my mom single. I have a lot of people are like, my mom. I gave a tour. She's been single, you know. So just thank you guys were passing along. Because I think it helps everybody we all need a little help with us sex and relationships. Okay. So ruth. This is great. I loved your Email. I laughed. I get it. Right. Not everybody wants a penis. They just don't. So this is what we found for you sport, cheats, has some strap on that are purple and not Vini they don't vibrate..
"cagle" Discussed on The Dan Le Batard Show with Stugotz
"He just through the one better, especially because it throws off the flow of the game and the bruise relying on their bullpen entirely more the game that's been talked about before, but never done. Obviously it worked out for him because they won the game, but I, it can't sustain. I think it was a fluke. All right. Cool. We'll have a good day today. Yeah, congratulations on the attractive wife calling by. Hey, thank you. We go out to Kyle. Kyle has colts question k. man. I, I just want to tell you guys to love the show, got around all day listening to you guys all morning, but here's my issue. I live down here now. Florida's we don't get to seal on a cool games and they going to local sports bar to watch it. And I see us hanging with the teams that are supposed to crush us the Redskins to you. Guys were saying, one of the strongest teams top Tintin getting and he hung with the Bengals and you got said they were the best team. They ESI. And we just hung with eagles where we went. They got six melodies called again, their final drive would have beat them. You were playing their backup. But here's my thing. We're still rang behind the giants. I don't understand our defense better than than than than anyone predicted our office. You know the for doing okay. Andrew luck always keeps in the game, even be stumbled over a guy driven his feet, but I just don't understand why we're not getting the respect I feel deserve because we're hanging with people that are supposed to like the floor. Are you done Kyle, Chris now, sorry, right. This takes time out of his day and he's he's an a one listener. He remembers what we are thoughts about the Redskins or or the team from Washington, and you just dismiss him out of hand mean just rambling on about every game. The colts have played the last well, he does have a speakerphone and I'm not crazy about that. Yeah, JR. West borough. I don't want to ask question have hold in my game. I think they're eight, eight, Kyle. I get it. I think they're eight. Nate. All right. Well, hopefully sorry about that. We go out to our touro day by the way Clark, Kyle. Hey, guys is. What? What should I do today? And if people as staple cagle, happy birthday to him, I don't care. Good luck. We go to Monte. Who has a question about roughing the passer, Monte doodo bro- hey, whoa. People do on people. We do. Arturo is gone, but we have so many questions because you could. You mentioned that we can Email you. People is dope gmail.com. ROY and ready. People are not for sale. People are letting me know that you're actually getting back to them. Oh, yeah. You make money baby. So you make move, or are you actually getting business. Radio in the people's doping Jima dot com. If you have anything that you want plugged, you know, wait a second job people's though, Bichima dot com..
"cagle" Discussed on .NET Rocks!
"And applications. So when we're talking about stuff like image recognition, we've done a few shows around cognitive services and things like that in the past. I've always thought that you would take the feed and stuff it back to the cloud doesn't tell judge actually mean the device on the edge can can do the recognition part. Yeah, I think it'll be interesting to see how program actually take things like what patterns ELC, but like absolutely you'll be able to take image recognition models like Resnick fifty and run them. Like right now, we've got the ability to take resident, fifty compress it with some like really clever software so that it's on a raspberry pi. And then like with an accelerated Cebu that's on the raspberry pi like able to do like image recognition. Over full frame rate. Video feeds. I imagine that it's gonna take some design work to figure out, you know what a raspberry pi in this example can do. Yeah. And what needs to be in the cloud just, you know, you don't put a cloud on raspberry pi and yet, but certain things can definitely move down. And I would say that if I was designing such a system, the first thing I would do is decide you know how to partition it where we put as much on the edge client as we possibly can. Yep, yeah. And look, I think you'll have patterns like going back to the image recognition thing where it will be easy to have a general recognizer model awning on the edge device. And then you know, like recognizing that there's a person in a frame of video and that being, you know, like as soon as that event is detected like you send the like a few frames of video to the. To the cloud where like more detail recognition will happen. So like you can identify the perhaps perfect example. Yeah, you do the first line of defense at the client so that you're not constantly chatting up the cloud for unnecessary reasons? Yeah, precise, Kevin. You said resident fifty. Talk about the cagle project. So I'm not familiar with resident fifty and the cagle context. But okay, resident fifty is just a combination will Niro network that folks at Microsoft research built a few years ago that I think it was the first CNN image. Recognizing that could label images grant it with a limited vocabulary at the same accuracy that human beings good. But like it's it's resident. Fifty is soda used all over the place now, I'm sure like it's like all over cagle and competitions. Yeah, I'm seeing it all over competitions and it's just open source. So it's a model. It's been built that people can use on demand essentially. Yeah, yeah, precisely. That's cool. And like, you know, the the, some of the cool stuff that's happening right now is like the hacking that people are doing with these models. I've seen people take. You know, things like resident fifty strip the last layer off of it. And so like if you do that, like the thing that the model is emitting is not like labels like, oh, I see a Cup in a table or orange or whatnot. It's like sort of abstract signals like these sort of abstract near on firings for for images in general and that. But you can use that to train other models like logistic regressions. Like there's this example that I love that I saw late last year where people use Resnick fifty to build a binary classify or for endangered snow leopards while on survey project in the Himalayas. And so like Resnick fifty does not recognize snow leopards, but it's got like a bunch abstract features in it that made training logistic regression model on their day the for which did have labeled the snow, leopard..
"cagle" Discussed on Invest Like the Best
"Artificial intelligence, but also blockchain technology. And I've always used new Brian is one of the interesting examples of people using blockchain for something that seems to be make a lot of sense. So maybe you could begin just by giving us a touch of background on how you came up with this idea of maybe how that's related to your own history and investing your own professional background, and then we'll go as deep as possible into some of the interesting features of the numerous model. Yeah. The first sort of ideas for numerous came when I was working as a Quant, and there was some Quant fund I was working at, but there wasn't any machine learning that they were doing. So I decided to spend a year researching how we could use machine learning. And then I finally found something that I thought was quite good. But at the same time, I was also playing in data science competitions on cagle. And I sort of thought, ok, well, the best way to get really good performance is to get the world to compete on the data sets and that seat was true of nearly everything that had ever been done. The net flicks prize was one way better than the people at net flicks could do. And then every other tournament on cagle that was one is like way better than the companies that will host in the competition could do. And at this time I was also reading about a theory him and I thought, you know, maybe that could be something interesting where finance which is kind of stayed the same for a long time could be changed by these two technologies, blockchain and machine learning. Maybe you could describe the actual process here behind outsourcing if you will, the analytical or the the model building piece. We're gonna spend a lotta time on data and what kind of data is and what you do to it to make this possible. But if you could just describe for those unfamiliar, the actual sequencing of what you put out there, how you take that and incorporated into your system? Well, we have the law. Data sets that is built up from different kinds of financial data, and it structured in a way where you have these target variables and you can use the data. We give to make a model that predicts from the features to the targets, and we decided to give away that. So no, hedge funds really want to give away the data. But new varieties was the first hedge fund to give away all of its data for free. But all the data, it contains all the patents of the stock market, but you have no idea what the data is. So you have to do use machine learning to basically find a way to model the data even though you don't know what feature one means or feature to means. And that allows us to share our data sets with anybody without them being able to run off in stopdown hedge funds with them. But they actually kind of onset of ice to come back and submit predictions to us which Redan trade..
"cagle" Discussed on Talk Python To Me
"What are some of the findings are things you got by studying these? We talked about this tension between the like an iterative rebel and then an explanatory narrative or computational narrative. Would you find one of the headlines from from this bitter research was that very few, the notebooks had what you might consider the baseline requirement for a rich narrative, which is just any explanatory tax. So over a quarter of the notebooks had no markdown text at all. So they were just code or code blocks and been even those the head decks are pretty short. So the meeting was about one hundred fifty words. The really short blurb to maybe those blurbs are almost like comments, thinner, certain tech cells instead of in in code with a hash, yeah, yeah. It often be like, okay, import data model data really descriptive of the steps. And I think for us that hints that more. Not that this is a bad use of the, but but more they're being you. I as interactive programming environment with some light loose notes rather than this view of others really rich description, like a scientific paper of what people did mood, I think are a host of reasons for that, but that was one of the major findings for us from this. He has a how much of this is just people happen to be using in storing their notebooks on get hub versus they intend other people to consume those. No, it's hard to say for sure. But we think a lot of is just we're going to throw it up as a repository for myself and I'm not really expecting others to use it. We didn't analysis Laurie actually look at the descriptions of the get hub repos where these notebooks lip. So how are people describing these projects? Look for keywords in when we remove things like notebook or get hub from that word search, the top words are things like machine learning cagle you'd acidy Nanno degree in. So that really showed us that a lot of these seem. To be people learning how to do data analysis, learning machine learning in particular, in doing online as rotation assignments, and then hosting their results up online, whether that's a form of submission or for a resume or portfolio building exercise. But a lot of CB. Educational. Interesting. I can see a lot of people who are students taking courses in a university or something in their professor says, are what we're gonna do is gonna create a repo for your course, and everybody's gonna put their sinement in just share it with me or make it public or something. Our search excluded fort repose in fourteen notebooks. So at least one form of distribution like that should have been excluded. But yes, still think a lot of this, this corker science like that. Did you do any refining where he say will let's look at repositories that have over thousand stars or a lot of followers or like just the ones that are not clearly private. We. We tried to look for ones that seem to get reused a lot. In fact, the motivation for us was, well, let's see if we can find like best practices in notebooks, right? Like if we can find ones that are repositories that were start ally or for the lot, maybe that means that they were really useful in weaking coming clean, some best practices on mobile designed from this, right? Maybe even a lot of PR's they're getting like polished exactly in. One of the things we found when we tried to do that was many of these notebooks that were in highly starred or for for positive stories were just to'real Tourelles for various software packages. So as an example at it could have been, you know, something might, here's pandits up on get head. I mean, here's the notebook. Is documentation showing how to use pandas, but the reason why this repository so starting for is the people really like using pandits not because the notebooks themselves were all at inciteful. Yeah, that's interesting. I guess it is a really nice way to have. Code mixed with description on get up because get renders and executes those now, that's that's one of the things we're initially doing. This research people said why they're using jeeter meal book while they're putting you not get habits, hey manager that I have now they don't really want to install this off wearing instead of an environment, but I can just send them a link and they can see the notebook statically..
Georgia governor's race: Cagle, Kemp headed to GOP runoff vote, Dems choose Abrams as nominee
"In the traffic center steve winslow wsb continuing team coverage of the race were on governor casey k go wins the republican primary but doesn't get enough votes to avoid a runoff with secretary of state ryan camp wsb political analyst bill crane i think nathan deal they have to come off the sidelines he's not then actively involved with eighty four percent approval ratings and going out kind of you know with the sunset behind him you may see him get engaged in this race and in this runoff the winner of the gop runoff on july twenty four th will face democrat stacey abrams in november the former house minority leader easily beat former state representative stacey evans racer tenant governor will feature a runoff between republicans david shaffer and jeff duncan sarah emeco wins the democratic primary over triana james johns creek state representative brad raffin burger and alfa reta mayor david belle isle will meet in the gop runoff for secretary of state former congressman john barrow wins a three candidate race for the democratic nomination republican jim avoids a runoff with jay florence to win the gop nomination for insurance commissioner and the democratic primary janice laws defeated cindy zeldin state school superintendent richard woods wins the republican primary over former superintendent john barge democrats oath thorton ansett chapman will meet in a july twenty four th runoff for a complete list of georgia election results go to wsb radio dot com wsb sports brokenbat on contact he's coming.
"cagle" Discussed on WSB-AM
"Chris kim came out just a few moments ago to rally one hundred or so people here at his watch party at the holiday inn on broad street saying he thinks he's a really good position in this race and you know the numbers bear out right now kim has about twenty six percent of boats countered about fifteen percent of them so far have been counted casey cable has forty point three percent in hunter who has sixteen point seven percent kemp being right there in the middle all he needs to do to move ahead in this race is finished second and he appears to be headed in that direction now he's taking a pretty serious turn to the right in the last couple of weeks putting out viral ads that feature shotguns explosions and a pickup truck he says he'll use to legal immigrants but will he moderators message going into the primary runoff and that's literally what my whole career spent about and that's what this runoff georgian thank that they can trust to actually tell them what they've been doing the last fourteen months and have a record of doing that in other words he says no he won't change his message at all pets i said there's a long way to go between here in july but wang now kim appears to be headed for a runoff lieutenant governor casey cagle for the republican gubernatorial nomination live in athens sneak combs wsb arkansas kentucky and texas also holding other primaries or run off today returns in those states just as slow as the ones here in coming but one result from kentucky and this is interesting a schoolteacher has tossed out the kentucky house majority leader in the republican primary their fellow named jeff hoover teachers in kentucky is elsewhere had staged protests and walkouts in the kentucky case over their pensions and had been dealt with somewhat harshly by the governor there result tonight a schoolteacher has defeated the kentucky state house majority leader in the republican primary there wsb news times nine time for dave bakers owed disproving.
"cagle" Discussed on Google Cloud Platform Podcast
"Having about one hundred peta bites data's or twitter has more data than data basically cool that's cool maybe we will finally see data come to life nother thing of the week cagle is running contest in collaboration with sern sern being a research organization that operates the largest particle physics laboratory in the world and so this competition in particular is taking a lot of their data that they've collected and getting outsides support in terms of seeing can machine learning assistant high energy physics discovering and characterizing new particles what's cool about the competition outside of the fact that there's twenty five thousand dollar cries money associated to it always good is that it's coming into parts and so the first part of the competition is going to be made a july and they'll be focusing on the high score and it's more about the accuracy in this aligns with a conference i tripoli w c c i competition that that's being presented in july and then there's a through put phase it's really more focused on the speed in terms of processing and so this is a line to phase that's between july to october and will wrap up at neural information processing systems conference in december nuts yeah so we've got a bunch of announcements around strangely enough containers kuban netease i think one of the ones i'm really excited about is a cold jeeva which we open sourced in may second this is really interesting this is a new kind of sandbox that provides secure solution for containers while still being more lightweight than machine so it integrates with docker bonetti's but really i think what's kind of exciting about this is it really imposes a very strong secure 'isolation layer for when you wanna run code that you don't necessarily trust maybe it comes from outside or you're putting things up or maybe you just went the extra layer security i think it's really really cool in that really lousy to able to run things in very secure environment now there is a tradeoff at its core there is a user space kernel that basically emulates the lennox colonel which does that mean that.
"cagle" Discussed on Google Cloud Platform Podcast
"Having about one hundred peta bites data's or twitter has more data than data basically cool that's cool maybe we will finally see data come to life nother thing of the week cagle is running contest in collaboration with sern sern being a research organization that operates the largest particle physics laboratory in the world and so this competition in particular is taking a lot of their data that they've collected and getting outsides support in terms of seeing can machine learning assistant high energy physics discovering and characterizing new particles what's cool about the competition outside of the fact that there's twenty five thousand dollar prize money associated to it always good is that it's coming into parts and so the first part of the competition is going to be made a july and they'll be focusing on the high score and it's more about the accuracy in this aligns with a conference i tripoli w c c i competition that that's being presented in july and then there's a through put phase it's really more focused on the speed in terms of processing and so this is a line to phase that's between july to october and will wrap up at neural information processing systems conference in december yeah so we've got a bunch of announcements around strangely enough containers kuban eddie's i think one of the ones i'm really excited about is a cold gee which we open sourced in may second this is really interesting this is a new kind of sandbox that provides secure solution for containers while still being more lightweight than machine so it integrates with docker bonetti's but really i think what's kind of exciting about this is it really imposes a very strong secure solution layer for when you want to run code that you don't necessarily trust maybe it comes from outside or you're putting things up or maybe you just want the extra layer security i think it's really really cool in that really lousy to able to run things in very secure environment now there is a trade off at its core there is a user space kernel that basically relates links colonel which does mean that.
"cagle" Discussed on Google Cloud Platform Podcast
"A new post out called oganization name spaces and accompanying youtube video basically talking about what names basis are how you could use them and why you might wanna use them inside your communities clusters yes it's a good series that he staring name spacing always hurry valuable so you should also check that blockbuste swell nothing we wanted to mention was that there's this new contests image detection contests that is out there and data set that's been made available and google research particulars behind this they have a post out we'll of course include the link where they're announcing what's known as open images before it's containing fifteen million bounding boxes for six hundred categories and one point nine million images this is the largest existing data set with object location annotations and there's a muratti in the category so there's an actual contest behind this will include that link as well and they've got the trace at that's already available but the tests that will be available july first by cagle and the challenge is unique because there's about twelve point two million bounding box annotations for five hundred categories so check it out as prize money challenge has total prize fund of usd five thousand dollars yes sir by google that's right and apparently the results will be determined by september so you got a period of time to play around with the days and or use it for any additional research that you're working on nice coming back to communities because what else do i do with matan there's a new thing that came out recently here gdp so we're introducing the crew bonetti's service catalog and google cloud platform service bruecke the fancy title is finding connect services to your cloud native apps this is kind of a little cute and interesting project that's pot opensource pot jcp basically it makes things easier for you to connect your cloud native application so you're up locations that run on kuban ities to other services in this case particularly gdp services so if you want to configure like i am and be like hey i want this to be able to connect to like pubs up cloud sequel or something like that this is just a really nice way of being able to have a ui interface and then being able to be like hey i need to install this thing and it sets that paces up.
"cagle" Discussed on Bytemarks Cafe
"It's really all levels so the royal starting from the two does that answer sure bring your laptop and just buying your laptop you know the the competition we were hosting it on cagle wish some people may have heard of bits a larger platform you know worldwide competition system and we're just hosting you know hours on their kagley eight g l e of data science and machine learning and there's a video explaining all of that so people think you want to do before you participate in terms of where is this going to be and when is it going to be and how people sign up for it so it will so the competition itself as online we do encourage everybody to come to the kickoff and to attend to taro stat obe primarily at the manoa innovation center the kickoff will be at uh but it is at the minoan invasion center sorry you can find out all the information looking at his conscience yeah but if you google hawaiian machine learning all information will be you know the first hit that comes up okay google learning so just google hallway machine learning okay and it will put up the you know the information on our show notes of show later on tonight on bite marks cafe cafe dot org so we wanna thank you for joining us thank you bert and steve yeah for having an of course now joining us by phone is rosy gado and she's assistant professor over at the department of ocean odyssey over at uh and she's here to tell us about the smart ottawa environmental science sensors workshop that's coming up on april.
"cagle" Discussed on Google Cloud Platform Podcast
"I mean even just doing chip design or trying to get into parallel processing and deep learning do you have any recommendations or anything that you know he'd say like spent some time working on or some resources that come to mind well let's see there's a couple of things on my mind right now one of them so i saw google put out a class recently in sort of introduction to machine learning i looked through that briefly it looked pretty good so that that seems like an interesting thing to look at invidia also has something called the deep learning institute where we give to tori os to help people get hands on experience training models and using deep learning frameworks i think that that has been pretty interesting for some people i'm also a fan of some of these online education programs i'm for example i work with you dass ity you dassin has some some great nanno degrees in a i that i think people can get a lot of value from going through and then i guess the two other things that also come to mind are open source so like there's just so much out there if you search on the open source on get hub you can find implementations of all sorts of really amazing deep learning models and you can download them for free and just start playing around with them you don't even need to build a machine that has a gps unit you can use a cloud service like google cloud and and miss nice thank you you can get started really easy right you don't you don't have to invest a whole bunch to jump in and then i guess the last thing that i wanted to mention also you know i feel like i'm advertising for google here but but it is actually a really good thing as cagle so cagle is this online competition where people can try to solve real problems using i and you know.
"cagle" Discussed on Google Cloud Platform Podcast
"Well let's see there's a couple of things on my mind right now one of them so i saw google put out a class recently in sort of introduction to machine learning i looked through that briefly it looked pretty good so that that seems like an interesting thing to look at invidia also has something called the deep learning institute where we give to tori als to help people get hands on experience training models and using deep learning frameworks i think that that has been pretty interesting for some people i'm also a fan of some of these online education programs i'm for example i work with you dasan you dassin has some some great nanno degrees in a i that i think people can get a lot of value from going through and then i guess the two other things that also come to mind are open source so like there's just so much out there if you search on the open source on get hub you can find implementations of all sorts of really amazing deep learning models and you can download them for free and just start playing around with them you don't even need to build a machine that has a gps in it you can use a cloud service like the google cloud and and miss thank you can get started really easy right you don't you don't have to invest a whole bunch to jump in and then i guess the last thing that i wanted to mention also you know i feel like i'm advertising google here but but it is actually a really good thing as cagle so cagle is this online competition where people can try to solve real problems using i and you know as a as somebody that's always looking for talent to come help us apply to new problems when i see a resume with somebody that's been competitive in in cagle i feel like wow this is a person who is excited about jumping into solve problems and it's very hands on and i think is a great way to learn practical skills about applying.