Title | : | Computer Scientist Explains Machine Learning in 5 Levels of Difficulty | WIRED |
Lasting | : | 26.09 |
Date of publication | : | |
Views | : | 2 jt |
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and none of the levels we men bro Comment from : Seekers Path |
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I have watched this video about 3 times and I learned something new every single time Comment from : Saransh Kumar |
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Thank God I found this video I am new to this technological concept and I have been searching for ways to understand it better and this video helped greatly ❤ brThanks a lot Comment from : Claudia Takyi |
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And yet students wanna be machine when exam comesbrEven they need to go through a lot of study materials to learnbrbrHope u got the point All the best students 👍 Comment from : Prince Kumar |
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you sure thats an 8yr not a 5yr? Comment from : Leothegamer |
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This is not a computer scientist at all!! Just a communicator!! And full of nothing Comment from : Hannu Koistinen |
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I found the choice of interviewees to be a bit distracting They were all individually excellent but together they represented an ulterior socio-political motive that interfered with the science During the video I often found myself thinking about the person who made those decisions instead of the actual discussion on Machine Learning Comment from : Brad L |
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Well, Brynn's cover is blown Comment from : Andrew Wilkins |
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Oo Hilary Mason know's her tech Comment from : Jojo_Dane |
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seems like they cut out her explanation of deep learning at 12min :( Comment from : Snoober |
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you lost me at level 2 🤣 Comment from : FRANKLIN DANSO |
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The expert is an idiot You know she'd love to lobotomize an AI if it accurately described racial differences in violent crime The only bias AI needs is a bias toward reality, even if it hurts stupid people's feelings Comment from : user-qj8vq2fj5v |
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Brilliant format Comment from : Edoardo Realini |
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women ? Comment from : Hashim4x |
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Asking questions to an AI: is this a woman?brbrSuper Advanced AI:👁️👄👁️🤯🤯🤯 Comment from : Secret Nobody |
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❤🩹Wired! You have just completely blown me away! 'Brilliant way to introduce me to this bit of our brilliant, new world! Comment from : Margret Hefner |
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Bro why is it all girls Comment from : BearZ |
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Small girl: I wanna be a spybrbrYouTube: you've just blown your cover Comment from : Marl O |
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Why they all are females Comment from : Russian drunk 🥃 |
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even michael scott would understand this Comment from : Aditya Kamat |
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Wow only women, that's super great, thanks on the behalf of all girls interested in CS! Comment from : Angélina Gentaz |
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Girl: I kind of wanna be a spybrMe: you just blew your cover agent! Comment from : Caliepher |
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Am I the only one just making sense of level 1? Comment from : مهسا |
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level 4 seemed more like a general talk rather than the most technical talk compared to other level Comment from : Lokahit |
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fascinating thank you Comment from : matthew chavez |
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What she explained to the child is what ive been trying to get google to explain to me Comment from : Che Fernandez |
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I have to differ with the scientist on the level 1 @ 8:06 The reason why I believe that humans have this "unique" ability is because we have already had years and years of our "training data", that is, our experiences that have led us to influence our decisions, emotions, etc Saying you can compare AI & humans, and our ability to make a decision based on two options with "no prior data" is a flawed argument when taking into account our "training dataset" vs AI Yeah I understand what she was saying, they technically need more of the same kind of problem (data) to make a decision as good as a human I just think that it should've been explained this way Comment from : Alex 🏳️🌈⃠ |
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Thank you Hilary and team for this great video ( - : Comment from : Udo F Fritzen |
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yooo the fat girl kinda smart on god Comment from : Nachtarios |
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mf can not explain at all Comment from : Nachtarios |
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The Expert, Claudia, would be the perfect consultant on the next AI movie Her whole character is just scientist galore Comment from : Hassan Syed |
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I hope that the algorithm doesn't think I want more vocal fry videos Comment from : Patrick Sullivan |
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I love Melanie Martinez! Comment from : Braxton Scott |
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100 today 06/21/2023 Comment from : Mauro Cesar Gomes |
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THANK YOU These women are having an absolutely amazing series of chatswow!!! Comment from : Irwin Hirsh |
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In their level four discussion all that matters is intention, truth and morality Otherwise there’s nothing to fear with machine learning unless it’s in the hands of a sociopath or psychopath Comment from : TechOutAdam |
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I just love how they r showing us all women in the introduction of a still male-dominated field Comment from : Unfinished |
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That little girl just flagged herself if she ever travels to China Comment from : Thomas Brock |
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Now everyone nows the child is a spy, oh no 😢 Comment from : Junj |
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but foltyn is still the best Comment from : Rip_Alpha |
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Thank you for making ML easier to learn Comment from : Kay Orianne |
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The amount or process u have to go through to understand, this teacher just made it easier to understand and process at any time of age Comment from : Kay Orianne |
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dammmm BAGGER VD!!!!!!!!!!!!!!!!!!!!😁😁😁😁😁😁😁😁😂😂😂😂😂😂😂😂😂😂😛😛😛😛😛😛 Comment from : Rip_Alpha |
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Really loved watching this Also noticed how Wired kept cutting out some parts — Not quite good Comment from : Etashe Linto |
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So what makes a woman a woman and a man a man - AND THERE YOU GO Comment from : Mirza |
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Interestingly 6 females and 0 men, talking about a male dominated industry Comment from : Xiomara AMVs |
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I think that machine learning may evolve into one of the most hotly contested areas of human research and practice in the coming years, and although this video alludes to problems in the ad space, and vague notions of wrong usage of the tech, there is really so much more to say on this topic, and the discussion point on figuring out what the results mean once we have trained the machine do not go nearly far enough How do we decide when self-driving cars are allowed? Is it enough if they have less accidents than people do? By what margin or factor? What if a car refuses to take us where we want to go, because someone has blocked us? What about the usage of AI in the military? I guess everyone is fine with it as long as we think it helps the good guys beat the bad guys, but what if we are the bad guys? What if the US, under some crazed and misguided president, decides to pursue policies which use AI in ways we are not okay with? How do we stop that, or prevent it in the first place? Right now is the time to have these discussions, not once everything has already happened AI and specifically machine learning has the potential to put a lot of power in the hands of very few people, and we need to prevent this Comment from : Morning Napalm |
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Why there are no boys? 🤔 Comment from : Abdul Samad |
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"I want to be a spy" that's just adorable😊 Comment from : RaccoonLex |
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I could follow until level 2 - college student After that it's all a blur lol Comment from : WOW Lily |
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First rule of becoming a spy, don't mention it Comment from : T Z |
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I loooooove that these are all women!!! Comment from : Darío Natarelli |
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the college student's question about features that the machine comes up with doesn't have anything to do with supervised and unsupervised learning though you still do feature engineering for unsupervised learning that question has more to do with deeplearning where we use a very high dimensional model like a deep neural net and allow it to do feature engineering on the minimally processed data on its own Comment from : Dayan Siddiqui |
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Kid was like "this was boring when are we going to talk about spies" Comment from : Saint Salieri |
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haha now we are seeing that a machine is getting more and more creative as it’s just mixing and rearranging the already known (midjourney) 8:45 Comment from : Schnöbel |
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I’m a mixture between level 2 and level 5 Comment from : Forever GeNella |
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why are all of them females Comment from : Ahmad M |
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that little lady wants to be a spy sheesh Comment from : Derping Dead |
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Crazy how with the experts, in every other video, it seems like a 'back to basics', as complex as it gets and as advanced as it gets, it always seems to go back to the core and the 'beginner level' of a concept, but still treating it in a decomplexing and wise way Comment from : Vik |
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#WomenInSTEM love to see it ! ❤ Comment from : Shinnel Martin |
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SOPHIE Comment from : Adrian Draai |
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She did a fantastic job! Explaining it at each level successfully is very very difficult! Comment from : Renaissance Now |
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The 8 year old kid is smarter than me Comment from : Subhranshu Das |
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I am a grad student working on a Master's in CS with a specialization in machine learning The comment about the algorithms are now only 5 lines of code is not fully accurate What has happened over time is the 500 lines has been packaged into reusable libraries, such as is the case with Python Someone still needed to understand the statistics involved to create the algorithm to implement in code thus allowing those of us more in the weeds with real worlds problems to actually create solutions Comment from : Jerimiah Kent |
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There's something incredibly inspirational and moving to see women in STEM talking about their shared interests in science Comment from : Nguyen Anh |
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This teen is hella smart tho, When I was her age I would barelly notice all of this Comment from : Paula F Soares |
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I wished I had seen this video as a teen Comment from : BookTube |
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She reminds me of Tara, oompaville's editor Comment from : disksector |
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Did they explain it or just comment on the applications of the technology? Comment from : John Payne |
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Amazing 👏 thank you Comment from : Toffie |
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Was it intentional that Wired forced diversity to a minimum and only brought on women? Kind of a bummer Comment from : Harry |
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OK, now I need level baby Comment from : 3BnDo |
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Women in Tech 💪 Comment from : Jim Houtenbos |
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I think it's interesting that the grad student (level 4) was actually a lot more "technical" than the Level 5 expert The grad student is deep into the nuts and bolts, learning HOW the machine learning works so it's very jargon-y and full of terminology, as she's learning this in school Whereas the experts have sort of surpassed that level of understanding and the nuts and bolts of ML are all understood, so they are able to talk more high-concept and theoretical, which is much more of an intuitive and stirs the imagination more than the logical side fascinating video Comment from : fray3dendsofsanity |
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4:50 queen Comment from : Max Sanchez |
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I liked the discussion Hilary and Claudia had about how the role of the computer person is moving more and more towards questioning / improving the data collection process, and the use of the output - as a computer person, myself, the Holy Grail had been bridging the gap between me and the folks who want to do stuff, where they know what's important to do stuff and I know how to get computers involved Also, I wonder what it would take to get a machine to learn the best way to get a machine to learn - ie, the input data are machine learning projects Comment from : Vinu Thomas |
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Hi WIRED, machine learning is all about giving statistical data or other forms of data to a machine so that it can learn and make decision based on such data How can I identify whether an app application or a service uses machine learning? Like for example, gmail uses machine learning to categorise your mails Thanks! Comment from : David Yeh |
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perhaps look's like we save on database, the database is machine Comment from : Dede Maullana |
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Fun Fact: spotify doesn't actually use machine learning to recommend songs(with the exception of the new DJ) Instead it has a giant matrix with all the songs every user has listened to and does matrix math to recommend you songs based on the users who are the most similar to you Comment from : Evan Chartrand |
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this is high level statistics, 6 sigma Comment from : evren bayoglu |
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"That creepy vibe" (`___________________________`) Comment from : Cruz |
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"If you can't explain it simply, you don't understand it well enough" -br-- Albert Einstein Comment from : Daulet Almas |
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I got lost at level 3, with those ML specific terminology Comment from : jss_developer |
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Ah a German, so a T3000, cool Comment from : Jonathan Matias |
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Bitc* lied Hard when she said that the algorithm thinks about the lows and highs of the song It just has data of what people that listened to that song also listens and data of how people react to its suggestions If you listen to any music in YouTube and let the algorithm go, you'll end up in the most mainstream market directed songs Comment from : Beto Mil |
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cool Comment from : Sam Rasoli |
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all women the systematic exclusion of men as a form of overcompensation for past mistakes is gonna do harm this is no where near the equality you so cheer for Comment from : Riobario |
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Sophie is incredible Comment from : Юра Зайцеф |
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I feel like this would be easier to watch if it was filmed like a 2000-2010 cam corder type feel Comment from : Lauren Eck |
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Too many jump cuts it hurts my eyes too watch Comment from : Lauren Eck |
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Level 5 explanation flew over my head Comment from : sm3Xsa |
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Level 7 : Machines explain to human how machine learning works Comment from : 2IA24_Juan Samuel Christopher |
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where's the men??? Comment from : Felyx |
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why do Americans talk like this Comment from : thesofakillers |
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That moment when you’re a Computer Science major and a self-identified “AI/ML Expert” and you can follow every level of the conversation with little to no difficultybrbrFeels pretty good Comment from : MaJetiGizzle |
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Now we have ChatGPT for this, it's amazing just how much things can change in a year Comment from : MrAudiJones |
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Melanie was IN TUNE to the world of AI Comment from : Honestabe_9 |
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