Computer Scientist Explains Machine Learning in 5 Levels of Difficulty | WIRED
WIRED has challenged computer scientist and Hidden Door cofounder and CEO Hilary Mason to explain machine learning to 5 different people; a child, teen, a college student, a grad student and an expert.
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Computer Scientist Explains Machine Learning in 5 Levels of Difficulty | WIRED
Level 6: Explain machine learning to the machine.
More like level 0
FBI OPEN UP
Level 7: The machine explains machine learning to you.
Level 8: Machine explain to machine
Level 9: machine explains to supercomputer.
the little girl blew her cover so early in her career
Amateur
You won't recognize her in 15 years.
Wdym?
@@pogboy537 bc she said she wants to be a spy
@@ammiren2294 abhi dekha aage ka maaf karde dost
*This is not just a computer scientist, she is an amazing communicator. She mirrors the talking points of the learner, and always positively commends their opinions, all while constantly smiling and making the learner feel at ease. What an amazing person!*
agree
Of course she is, in her normal day, she has to teach a machine to learn and that's way harder...
@@kodex7795 you are stupid
im the 1000th like :D
imagine if she is an AI herself XD kidding. couldnt resist.
Me: Studies machine learning for an entire semester Also me: Writes the definition explained to kid in exam
Ya because the term "machine learning" is way overloaded and basically a buzzword lool
Me too lol!
Haha I am a junior in high school I want to do machine learning soo what subjects do I need to pick
@@cyberturk2537 you must learn fundamentals of computer science, python or any programming language with which you can do ML and concepts of maths like matrices, probability etc
@@pranushaaa thanks man appreciate it
I like listening to smart people talking about stuff they know alot about
Theres a specific glow in the faces when people talk about stuff they enjoy or have interest in them
Sapiophile.
Me too
@Jason so what? what actually is your issue with that? Ask yourself that question.
If only smart people run the world. Maybe someday in future we have all evolved to this level of intelligence.
Level 1 : Explains Machine Learning Level 2 : Explains Machine Learning Level 3 : Explains Machine Learning Level 4 : Explains Machine Learning Level 5 : Chat
Eh, Level 4 was also just chatting. She asked the student about her interests and opinions but she didn't explain much of anything.
not much you can teach to a phd working in the exact field, you just exchange what you know and what they know
There are hundred machine learning approaches for text predicting. Of course, you can't just talk about it without spending months researching and evaluating the effectiveness
I mean it's always like that because what do you want to explain to someone who potentially knows more than you
They cut the grad student questions because they were too advanced.
Hilary Mason is not only a computer scientist, but one of the first famous 'Data Scientists', a very well-known word today, but not so much a decade ago. Her research and knowledge sharing has helped to develop the field into becoming the vast and useful network it is today. Great video!
Mashallah
When I put a female student in my Data Science Masters on to Hillary Mason, she really lit up. She had some self limiting beliefs about women being good at Data Science and when I used Hillary as an example of a top Data Scientist it shattered that limitation in her mind.
@@user-qn3vt8ih2p نعم.
I noticed a lot of women going to data science why do they love it literally in every content went to even family members noticed a lot of women into Data science more than other fields in the CS space
She is both. They are very closely related at least in my university.
Something that really impresses me in this videos it's that those explaining most of the time are geniuses in their areas but still are so humble and down to earth. You never see them taking about themselves and how good they are. And they are always passionate for their field.
Mostly people who are really good at something are focused on that, not their ego or how they look to others. The latter is just a tool for doing more of what they love.
This is true but there was this one time a "Nobel prize winner physicist" who works with lasers came on. I don't wanna sound bitter cause if I won a Nobel prize I would tell everyone but yoooh. The lady overdid it for me... a bit
Yeah, the best kind of professionals :)
I had so much fun filming this video! I love the final product. Thank you Wired!
Well done Lucy, you did great! Good luck in school 👍
If you don’t mind my asking, what was the process like of getting cast to be in this? Was it through school, or a casting agency, or something else? That’s something I always wonder about while watching these videos
You seemed interested during the interview. Good job
good luck for 10th grade and congrats on finishing 9th grade! You've done so well
You are very smart
“I kinda want to become a spy …” Sworn enemies: “Bookmark this one.”
😂😂😂
Lol
Is that a reference to Spy Cat movies? :)
should have thought long term and said she wanted to be a drug dealer
😂😂😂😂😂😂😂😂😂😂😂
I absolutely love how they're all girls. I'm a girl who wants to major in cs in college and seeing these women who are also either studying it or successful in the field is really inspiring.
Didnt even notice they where all girls
Go for it! We need more diverse voices in this field. I can't wait to see what you create. Good luck!
@@astrovation3281 lol I only noticed near the end
@@rayankubur6054 It is great seeing people having succes indeed, good luck in college 👍
Omg yes do it! I’m a woman in CS going through college right now, it’s difficult but rewarding! I believe in you!
Impressed with this 9th grader. Very articulate and seemed genuinely curious with some insightful questions.
Im acualy suprised how good an precise she explaind machine learning to the child.... Respect
I mean... she teaches computers so why wouldn't she be able to teach a child??
@@ajtmove4226 oh, yea.... Forgott that, but makes sens XD
@@ajtmove4226 a person can be incredibly smart but not know how to teach those things to people, not every biologist can explain his stuff to a kid so they understand. "Teaching computers" is a weird way of explaining what this woman does and isn't even close to teaching a child or teen.
*actually.
well, I mean, she used to the process of explaining these to an angel investor u know?
At a basic level, the preoccupation is with "what?" At an intermediate level, the preoccupation is with "how?" At an advanced level, the preoccupation is with "why?"
When studying as an adult, I want to start with why first but often they don’t want to do that 😂
@@CertifiedRetard-gz6mi why?
@@fallenIights the question is too scary, really.
Profound well put statement 👌
Drax was an enlightened mind all along.
Level 1: Do you know what is machine learning? 8 yo: I prefer python over R, because it is better at unsupervised machine learning, I am now trying to find literatures on how Amazon beats eBay on customer categorization, can you help me with it?
Hah!
Python is the Swiss army knife of programming languages, and it doesn't rust.
lol
I love how intelligent the women on all levels are. The chat of experts was super interesting, just stepping back to think about what it might expose about our society and what impact it might have. AI safety is such an underdeveloped field that I hope this inspires people to go that way
I didn't even notice that it was all women
I have a strong feeling the makers love being inclusive omfg
AI safety is a major branch of safety engineering - the safety management conferences I go to always have a lot of papers on challenges and research in the field. It does have a way to go yet, though, yes.
@@berryk.4174 It was obviously intentional
@@stt.9433 I did, can’t help but imagine the backlash if it were all men instead
The teenager is so clued on and inquisitive! Props to her.
Yeah exactly what I thought. She made some really interesting observations I wouldn't have guessed she'd try to make. She's going places!
Right
Mashallah
I knew that at 15. Its normal
@@folkrav I knew that at 15. Its normal
Hilary is exceptional at explaining and engaging with people at all different levels of expertise.
Hilary is also exceptional at voice fry, so my ears hurt now. The college student had a very comfortable voice.
It’s called Social Engineering.
Mashallah
@@polymath6475 bro ur balding so bad 😭😭😭
@@bassou28jpg i do not trust her at all based off what the companies she runs does.
The way she explains to the 8 yr old girl is amazing
As a Data Engineer this was the best episode and the best explanations i'ved ever heard for machine learning! THANK YOU SO MUCH!
The main difference between cats/dogs and humans: wearing watches.
No, the main difference is humans kill everything, thats the difference between humans and all other life.
@@simplylethul Cats basically try to kill anything they can, and will often play with their half-dead victims
@@simplylethul You should see how cats behave in heat
@@simplylethul Okay, cool
@@freeshavaacadooo1095 facts are...facts.
love what the expert said how coding is so secondary now and it is more about the bigger picture i.e. understanding the model, its applicability in certain industries, and its effect in society
Somebody still has the code the bigger picture, but with so many libraries, and tools being so readily available, people barely really write their own code anymore.
"coding" has always been secondary, archiecture has always been the primary focus of literallu everything.
In my CS program its been heavily implied that lookin at the bigger picture structure first makes the coding easier, Its like outlining an essay vs writing it on the fly.
That's always been the case, and is a general rule in engineering. What she's talking about is specific to Machine Learning in the sense that, a decade ago it was still mostly an academic pursuit and they were simply trying to figure out how to approach the problem i.e. how to translate the mathematics to code and optimize the running because after all the code runs on millions of data points and it had to be optimized as much as it can. Now it'll all about getting the end result right, because the basic platform has been mostly laid correctly, and more so because the results are being used for real-life application. So, getting them right is the big problem now.
Completely in love with the fact that all of them were girls. As a girl just getting into STEM and facing all the barriers it entails not seeing many women in my field, this is super exciting and inspiring to see. Thanks Wired.
👏👏 noticed this towards the end and whether intentionally or not, such a bunch of inspiring women!
I’m a woman in STEM. If it makes you feel better, any discrimination I faced as a woman and a mom, was seriously eclipsed by the discrimination I’ve faced since becoming disabled courtesy of a very selfish driver.
@@MiriamTheGreat I dont want to be rude or anything but u have never faced discrimination as a women. Idk y u say that. I dont know any dude that goes around looking at women as inferior. I think u have been lied to and told that u should be given everything and anything and if they say no than that means they r discriminating against u cause ur a women
@@uncomfortabletruths7990Yeah that is rude lol, you scream of someone who doesn’t talk to women in the real world, let alone listen to them. For that reason, do you ever think that maybe YOU are projecting because YOU are the person looking down on women?
@@firstlast-wg2on How does me stating a fact that she never faced discrimination for being a women mean I havent talked to women?😂low iq comment. Go back to making mario youtube vids lmaoo. Cant believe a nerd like u can even speak like this to someone. U would never say this shi in real life
I think it's amazing that you can see a curve in the explanations given. A bell curve literally. It started with really simple and understandable explanations, got gradually more complex with the grad student and became simple again with the expert.
You should do one of these with a philosopher would be so interesting
The only problem with discussion in philosophy is, eventually you both just reach opinion, never fact.
@@sliceofbread29yrago52 that's true of almost every field, including STEM
There is interesting discussion by J Krishnamurti during 80s kzhead.info/sun/n6WcYpGPaKOJlHA/bejne.html
@@sliceofbread29yrago52 That's incorrect. At the most fundamental level there are undeniable truths (not even facts). The realm of metaphysics with application of the most fundamental logical axioms (fundamental epistemology) can move you in a direction that is rigorous at the most fundamental level of philosophical debate. Whether you accept those facts is dependent if you agree with the logic. But if the logic is intrinsic and thus axiomatic, then not adhering to said logic will show itself in fallacies down the road. Certain philosophies are factually incorrect because they rely on axioms that are based on nothing but faith (like Altruism as a core in many ethical and political philosophies). By faith I'm not referring only to a higher power/religion, although that is a fairly popular example. If the answer to your axioms when asked "why?" is "because" rather than a proper rigorous answer, then it is fallacious at its core. What I explained right now is not something that most people accept in higher education philosophy which I think is absurd since it's something anyone can confirm for themselves with various simple thought experiments, so I wouldn't expect a Wired video of this type to be good at all.
@@SiMeGamer I'm nowhere near stoned enough to understand your comment brother. - Could you tell me one of these "Undeniable Truths" please. Il put a good word in for you with the big guy downstairs 🔥👹🔥
We need a "mathematician explains" vid asap
i second this
Mathematician explains Inter universal teichmüller theory to a child
CIA: “Write that down, write that down!”
@@user_2793 Lmao, maybe get Mochizuki on here.
I love math, but that is what's so frustrating about it sometimes. Today's research papers are so specialized and their only applications are to other branches of math, I bet they wouldn't even be able to explain it to an undergrad math major. Imagine explaining class field theory to someone who's just barely seen groups.
I'm also a grad student in computer science (and actually in ML too) and I'd probably be as eloquent as the teenager at most. casting was on point for this episode!
To be fair, she was a very smart teen! 😂
Lol how is it possible? ,even on undergraduate computer science students know the basic of machine learning let alone PHD students .
I 100% believe if I develop Level 5 expertise in something, I’ll unlock an interesting accent of some kind as well.
Absolutey loved how well she handled teaching it to the child. That ability to disperse high level information to a younger audience is rare
I tried explaining machine learning to a friend who was tipsy last night, I needed this woman's patience. They should probably include that level in these videos
I mean if they couldn't understand the child level explanation they weren't tipsy they were thoroughly drunk
I'm imagining them bringing in a drunken homeless man and it makes me laugh
@@nathanbruce1992 Write a persuasive letter
Drunk Science
This kind of interviewing is so informative, accurate as well as kind and comforting that make everyone relates to a profession industry
I‘m working on my degree to become a statistician and am going to take a few courses in machine learning to also gain some of those skills. This video, beginning to end, got me so excited for the next semester!
That real-world example was SO helpful for me! I never thought that a learnt machine could provide accurate results, but then the humans using the machine couldn’t do anything with those accurate results 😅
"Its humans." She's so cute.
Cute and smart!
Everybody gangsta til she said: “It’s earthling”
@ K S lmfaoo
@@KS-mxh lol technically all animals are earthlings
This video teaches not only machine learning, but how to explain things to people. Thumbs up. Also impressed with the questions and other feedback contributed by the guests (did not seem staged... hopefully not!) demonstrating that they felt comfortable and were having a conversation and learning things.
I think this is a fantastic video because it gives you insight just how machine learning concepts have not only transformed over the years but in the last conversation they really emphasize just how important data collection is and how to mitigate "biases". I think it is incredible because biases may be considered inappropriate or offensive data but we need to consider if it is actually useful when developing software products or other tools.
I graduated with a B.S. in computer science nearly 25 years ago. One of my senior year electives (that I did not want to take) was Artificial Inteligence. What passed for A.I. then pales in comparison to A.I. today.
Imagine AI in another 25 years
I studied computer science over 40 years ago. It has come a long way.
Although many of the main model architectures of deep learning already existed ~25 years ago: standard neural networks (80s), convolutional neural networks (80s), LSTMs (90s). It was mostly just the computation that was lacking to be able to train these models. And the big advancement in the last few years has been the transformer architecture (2017). Transformers are the future (for now), and are behind most media coverage stories lately, like GPT-3 and Codex!
"As soon as it works, no one calls it AI any more." - John McCarthy
A decade ago, AI was about human-like robots rather than the whole concept of independent intelligence.
I am currently learning data science and machine learning, and this was very interesting to hear
I'm assuming you absorbed this information with a nice warm cup of tea in hand. :-)
@@s0dfish110 Coffee :D
I have my first ML class tommorow!
I'm watching this before going to my Machine Learning class. I have a midterm next week. Hopefully the professor asks more about definitions than the math and statistics cuz they be hard.
Listening to the two experts discuss actually gives you an insight on challenges they are actually facing.
Wow, her knowledge and her communication skills are excellent. She reflects the Guests talking points, and acknowledges their opinions, all while always smiling and making the learners feel comfortable, and make them open-up. This is an inspiring video, thanks for sharing... ✌
The College and Grad spoke about the technical. The experts aren't even Interested in the technical, they are talking of it uses and effect on real life. It's funny.
At some point you turn Super Saiyan and you are beyond the technical where you just see the bigger picture.
Yes most of the time we have to look for what we are building how it will be perceived and how should it be...
The expert discussion is a branch of computer science called HCI (human computer interaction)
Well as u progress, you play more of a managerial role rather than technical
Basically the difference between a Junior and a Senior.
Loved how the teenager asked so many questions!!! Hilary was so awesome at explaining too :)
I noticed that as well. The teen was very into it and was easy going and curious, it was great to see that
The little kid Brynn and teen Lucy are *really* smart. They're understanding things at a very intuitive level.
First rule of becoming a spy, don't tell anyone you're going to become one. I still found that hilarious lol. Spoken so nonchalantly.
I loved her ending message. 5-10 years ago ML was only used for targeting ads and searching the internet. Now it's used in almost every industry and field.
“I kind of want to become a spy…” 😂😂😂 cover blown but hilarious!
A) these ladies were so impressive (and that little Brynn was too adorable! 🥰) B) the conversations were just increasingly brilliant, on any day even outside of this context C) a lot of it still managed to go right over my head (and I do IT for a living 😂) so I’m quite looking forward to going back over this all again.
Man she is genius. She can make me understand like everything.
I actually loved how the second girl was right on her assumption about ML I'm studying AI for health professionals (also studying python but it's more for fun and understanding) and it's amazing :)
The experts are humbler. A tree full of fruits is always humble.
How? It's a tree.
What?
Terrible analogy
Jk guys. I think what he saying is that the branches of the trees lowered because of the weight of the fruit giving the impression that is bowing, and therefore being humble.
Not a bad analogy just bad execution “The tree laden with fruits always bends low. If you wish to be great, be lowly and meek.” - Ramakrishna Paramahamsa
Oh my God!!! This video is incredible! I'm working as Information Architect for Machine Learning for almost 1 year and this is amazing, it describes perfectly steps and concepts and I feel very represented by the situations and scenarios described in this video. I'm in love!
Level 6: Ai Machine explains to human
i will never stop watching these 'expert explains _ in 5 levels', i just love listening to experts talk and explaining their subject, i cannot put it in words but they always make me excited about their topic too! also, i'm in love with her haircut, i wish i could pull that off
The cut is everything
For the first time I could actually follow all the conversations! Well explained by all.
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 - i.e., the input data are machine learning projects.
I've been studying machine learning for 2 years and I can tell you this woman is really smart by the way she's wording the topic
I actually recently learned she's one of the first Data Scientists and one of the most well-known today. So I agree with you she's 'really smart', and would even say those two words don't start to do her justice.
I like how every series I’ve seen of this they speak to the children in this very specific tone
Hilary is so pleasant and enjoyable that I almost forgot she was describing our future AI overlords and inevitable dystopian existence. Great video!
shes creating them bro.
How cliche
Maybe utopian, not dystopian.
hahaha exactly !
The first explanation was incredible. A great practical example of a fairly complex concept. Well done!
I love these 5 levels of diffulty - Wired keep them coming
Yo the 8 year old is so sophisticated and like calm. Really great to see that!
She's a super bright kid with how she analyzed things. I was never that descriptive with my sentences when I was 6.
I think wired pickup a really smart and enthusiastic for the topic kids iin all off these videos not just random picked kids. Obviosly the key point is the kids must be interested in the topic such as biology or math ets
@@muhammadihsan4896 Yeah, I don’t know how they go about casting these videos, but I’d imagine they ask local school teachers/administrators to identify kids who are bright and curious and would be comfortable on-camera
Watching this as a senior CompSci major who got a D in his machine learning class. Should be interesting.
What are your thoughts?
Its not for everyone x.x dw homie
This is so inspiring I don’t know if it is just me but, up till now in my computer science education I have just encounter 3 women so to see more women being passionate about computer science is so amazing ❤️much respect for these intelligent women
My CS class: 3 females and 50 males
Our was 12 girls and 50 boys... computer science engineering needs to be promoted into females life... they just like maths not for me machines not for me... coz the surroundings never encouraged
Its more fun when you are a computer scientist and understand everything they are talking about.
where have you been lately Capt. Obvious :)
Me watching this training a new Language model architecture. She explained it really well to a kid.
It is one of those videos in 5 levels series that I could actually understand in its entirety. But the last one, talking with an expert, wasn't that hard for me to understand than I expected.. Is it only me or others also find the talk of expert level is actually more accessible than expected?
Yeah for me as well and my understanding of this topic is pretty basic. But because they were mainly chatting about the current landscape and what the future beholds, without going into actual technical detail, it was all pretty good to understand
Their talk wasn't technical
They were probably told to keep technicals to a minimum.
I have a bachelor's degree in Environmental Geography and I must say, it eases to hear scientists being optimistic about the future...
Suggestion: Economist explains inflation in 5 levels
Am very impressed with Hilary Mason. Great addition to this series.
Awesome video and a great emphasis on the data quality/bias side of machine learning people don't usually talk about in depth.
Ironic, considering the the female bias in this video 🤣
@@musashi939 I mean, I don't think it's a problem in this case. It's a presentation and I think showing capable women in a traditionally male dominated field is a positive thing.
@@WilliamChan I just thought it was funny. Talking about data bias in machine learning while only having women on the video,.
@musashi939 Is gender really a data point at this time? I think we have far bigger fish to fry then worrying about the orientation of whose catching and the catch itself.
am a data analytics undergraduate and this is one of the best videos i’ve seen in a long time, super informational as well!
level 1: ELI5 level 2: technical definition of ML level 3: intricate methods and workings of ML (not too deep, but still not shallow either)' level 4: what do you know about ML? level 5: discuss the past, present and future of ML leve 6: TBD :)
Level 6: Computer explains to human what Machine Learning is
Oh my god 😂
OMG definitely should do that, that's a whole new level
And next video on topic: FBI AGENT EXPLAINS ALL HIS SECRETS TO KIDS, ADULTS AND CRIMINALS
I guess you are not invited
But John Douglas already did that... Joking, ofcourse.
My father will hear about this!
I love how explanation morphs into better and better questions as the levels increase.
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 ❤. Thanks a lot
The expert wasn't aware of uses of AI in agriculture, but I remember seeing a video of a system that goes up and down the rows of a field with a camera, uses AI to recognize weeds, and applies an herbicide to the weeds without getting it on the crop plants. So cool.
I think she meant more general adoption of ML in agriculture, and use at governmental levels to predict loss stoppage and population need, etc. It's still pretty niche and limited in scope in ag.
The way she explain machine learning to the kid shows the level insight as well the ability to compress it so that a layman could also understand it. Maybe when the child grows up and reads about Deep learning , CNN algorithmns she will be impressed by this encounter.
I believe that easy to use tools shouldn’t be seen as a problem for new learning but should be seen as an opportunity for the new generation to be able to create new stuff so fast using those tools. Then maybe we will create more concise tools with those tools. Exponentially improving.
I is really interesting that 4th lvl was totally ununderstandable because of complexity of terms. But what's suprising on level 5th- the most complex - it actually is understandable, but experts do not talk about terms, but problem it brings to the world and how we could solve it, utilize it and make safe for humans. Beautiful.
That delayed response between 4:11 - 4:13 is really concerning me
She's an AI.
Love the number of women discussing and practicing these fields!
Why?
That's exactly the problem. Choosing people based on genitals, instead of competence. Sexist !
@@alokbaluni8760 so what? If women are not interested in these fields why is this an issue?
@@earthysophie by now you mean somewhere around 1917 when equality was established e.g. in Soviet Russia?
@@earthysophieI don’t think that’s true at all, women def are capable of becoming computer scientist ,I believe that they are just less interested in this topic compared to men ,maybe in the future will change.
They all seem so smart, and I think it's because even the child or the specialist seems very interested and asks genuine questions.
I really hate to admit it, but the child adapted pace for explaining this really helped me a lot ahahah
Young girl: "I wanna be a spy because I'm super good at coding." And people complian the younger generation wouldn't amount to anything 🙄 😆
lol you're taking the opinions of a few grumpy people and countering it with one kid - gotta think in terms of datascience ;)
such an adorable kid :D
@@anywallsocket I'm gonna be honest, I have no idea what point you're trying to make 🤔
@@MandosaWright i'm saying the r value of an argument like that is crap lol
@@TheDayDreamingOwl i think i can understand what your trying to say but the emojis make it confusing
Machine: "It's two-time Academy Award winner Hilary Swank." Me: "Wrong."
Asking the wrong question. The question is "is she hot?"
By far this is the best explanation I've herd about supervised and un supervised learning
I have watched this video about 3 times and I learned something new every single time
That kid is so intelligent and ADORABLE!
For a kid level not an adult.
Her: So the test shouldn't have problems you haven't seen before ? Kid : Yes Me : Sweet summer child
IRL the test has problems you haven't seen before and will test two or more concepts you've seen before simultaneously combined in novel ways (synthesis) to test your understanding of the concepts themselves...
@@thighdude7 Which is WAY better than just regurgitating information and a lot more important too. Almost everyone can just learn some vocabulary or learn how to solve the derivative of x^2 but actually applying the principles is what is really important to show that you actually understood what you studied.
Crazy this was 2 years ago because rn machine learning is popping off and it is very easy to implement existing tools
I think it is better to put what the explained concept is in the title. I don't remember ever clicking one of these videos but this one was an instant 'add to watch later'
Level 4: A job interview for a ML engineer.
Finally something I can actually understand beyond the college level 😂😂😂 Writing my thesis on a specific topic with GANs
Tell me about it! Me too!
Yeah bro, tells us about your GANs
I love how the conversation transitioned to human side situations, challenges and possibilities of ML in next years when started to speak with the expert.
Love this so much! It demystifies a complex, yet ubiquitous topic that impacts everyone in society. Great job :)
The guest expert actually repeats the same sentence twice 20:23 (until "...living up to its expectation") and then 21:19
Reinforcement learning
Okay but Lucy was asking some GREAT question!
I like how as the levels go up, there is less explanation but more discussions and at the expert level it's really just an intellectual debate of potentials and problems about the bigger picture without barely any tech talk.
This was brilliant!🙏 The expert has a beautiful way of explaining the whole concept in a simple way without ignoring the nuances ..