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Complete Statistical Theory of Learning (Vladimir Vapnik) | MIT Deep Learning Series

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Comments Complete Statistical Theory of Learning (Vladimir Vapnik) | MIT Deep Learning Series

Thanks, I dot understand what are predicates formaly and when we use them Comment from : @anas2k866

My master's thesis was forecasting using SVM That was the first time I fell in love with machine learning and even Math Thank you Vladimir for living Comment from : @burkebaby

Спасибо большое за семинар и лекцию Comment from : @Kat_EVV

Great opening joke!😆 Comment from : @jamesli6168

OK, and now, how to program it in Python? Comment from : @736939

I'm studying SVM in my MCS program I was so surprised to find this video with Dr Vapnik We live in such blessed times to have easy access to this level of high-quality contentbrThank you! Comment from : @rodolfo_bandeira

can anyone tell the prerequisite maths for this book ? Comment from : @madhurgarg4114

priveleged to see him, legendary persons are messengers of god Comment from : @ankanmazumdar5000

What a legend !!! Comment from : @mlliarm

I love you Vapnik! Comment from : @l3890

@Lex Fridman 15 years ago I listened to your first podcast with prof vapnik and was blown away Great man, great story I love it Funny is that while pursuing the topic of machine learning and deep learning myself at the moment I hit the subject of learning curves, cross-validation and other methods to learn more efficient and remembered the podcast in which he mentioned his Complete Statistical Theory and as a former math major I appreciate his approach so much Thx for this opportunity Comment from : @rezab314

rip i have no idea what's going on Comment from : @inderjeet8659

Wow, being taught by the man himself, what an honor Comment from : @StratosFair

His concept of predicates is intriguing: Everything can be deconstructed to see what it is consisting of - the basic building blocks With that, what is left to do is only one more step: analyzing the structurebrExcellent concept! Comment from : @Anza_34832

Thank you very much for this video Watching a lecture from this gentleman is such an honor Comment from : @DiegoAToala

1:16:28 Predicate just acts like prior in bayesian viewpoint, it is assumptions about function And that is the way deep network trying to avoid overfitting by regularization Comment from : @nguyenhungquang7794

Lex, we are so grateful for the amazing lectures and conversations you provide to the Internet all assembled in one place, thank you! Comment from : @davidbellamy1388

I think this lecture broke my mind Legend! Comment from : @TheAIEpiphany

Amazing talk and amazing contributions to the field of statistical learning theory This is definitely a piece of the puzzle that I feel like is very under represented today Comment from : @evankim4096

It's an honor to see one of the living legends of Theoretical Machine Learning / and the father Statistical Learning Theory in flesh! <3 Comment from : @prattzencodes7221

Heavy russian accent is hard to tolerate, while the math is pretty basic Comment from : @z-America

I feel privileged to have the opportunity to watch this video Thank you very much @Lex Fridman Comment from : @SuperReminou

How does RBMK reactor Comment from : @thefarmlab5441

Thx Comment from : @rickharold7884

i use his invention every single day ! Comment from : @madtrade

Thank you for offering us this possibility Comment from : @alexanderkonstantinidis7716

I thought it was just me but apparently his accent might be just a little bit hard to understand Comment from : @ynwicks7142

Huge respect for the gentleman (he is a legend for us, AI-Masters students in Ireland;) Thank you for uploading to YouTube Comment from : @alchemication

great talk but for you guys out there let's hope it gets released in English Comment from : @maxsofronov

Can't understand a fooking thing he says Comment from : @nikolaos9175

Arriving here from the podcast, must say that horizontal expansion will give us the models that we need and yes, even after than it would be an imitation Intelligence seems to be far from our reach as of now Comment from : @nikhilpandey2364

I think I would like to speak of AI I m a sim ple man tho is there real ly such a thing I think not so AM I ! Comment from : @Toefuy

Marvin Minsky says statistical learning won't work to build AGI Comment from : @chikorita5919

Legend in statistical learning ❤️ Comment from : @kparag01

so clear explanations thanks Comment from : @nikre

My master's thesis was forecasting using SVM That was the first time I fell in love with machine learning and even Math Thank you Vladimir for living Comment from : @ephi124

real soviet man, not your regular russkii :-P Comment from : @ichkaodko7020

Thanks a lot!!! Very Informative!!!! And thanks for making all of this happen!!!! Comment from : @oudarjyasensarma4199

This envokes great memories to my university days! Working in applied ml is seldom as elegant as vc theory lol Comment from : @butterkaffee910

OMG is Vladimir Vapnik our Valentine!? Comment from :

He is a hero 😊 Comment from : @Snipester230

Funnily, YouTube detects the language of the Video as Russian for subtitles Comment from : @harryh2185

2 views and 6 upvotes! that is what i am talking about! Comment from : @visavou

First🙌🙌🙀😃😃😃😃 Comment from : @sifiso5055

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