Prof Patrick Winston has sadly passed away on July 19, 2019 rest in peace , the knowledge you’ve passed to thousand of students is your legacy and its forever thank you

@sandorszabo2470

4 жыл бұрын

Very bad news :-(( RIP.

@haggar11

4 жыл бұрын

A real loss Prof Patrick Winston has dedicated himself to give knowledge on AI.

@nikaporozov

4 жыл бұрын

Very sad news RIP prof ;(

@DeepakKumar-uz4xy

4 жыл бұрын

Oh damn...RIP

@SuperIronwire

4 жыл бұрын

Rest in peace!

I’m jealous of every single student in this class. And thank god i am alive and can watch this on youtube.

@romanemul1

3 жыл бұрын

why jealous ?

@storytel3000

3 жыл бұрын

@@romanemul1 coz he can't use the bathrooms there.

@jjpp1993

3 жыл бұрын

@@romanemul1 of a world class education

@cratermoney6941

2 жыл бұрын

I wouldn’t be jealous at all, you’re getting the same education for FREE

@asfasdfsd8476

Жыл бұрын

Don't be jealous of any initial condition. In the end it won't matter. You will get there if you are resourceful person anyway, and if you aren't such a person then no initial condition going to help.

Tremendous respect for any professor who writes out the entire math on board and does not use notes to do so.

@pranavtagore

Жыл бұрын

my fluid mechanics professor wasn't that good. she would use books and notes throughout her lecture to write the equations on the board. however, she had a good way of teaching that made everything understandable.

@user-ip9bm4mz1v

Жыл бұрын

31:39 Why do I need to find the maximum value of the L value? I was looking for the minimum value of 1/2 * |W|^2, but I don't understand why you're looking for the maximum value of L as you move on to L.

@pulipakasrikiran9307

Жыл бұрын

@@user-ip9bm4mz1v1/2w2 has a constraint so you use a lagrengian multiplier alphai multiplied with the constraint and add it to the intial equation.You treat this L as a new minimizing solution to minimize the original equation with the constraint.

@ChibuRawk

7 ай бұрын

​@@pranavtagoredid you really compared fluid mechanics equations to this basic linear sh*t? No, seriously?

@gregmcmahan7420

Ай бұрын

​@@ChibuRawkNot sure why you have to be a jerk.

I've been watching a lot of MIT, Stanford, Harvard, Princeton lectures, but this... This was phenomenal, hands down the best lecture I've ever seen. Rest in Peace Prof

Feel blessed to have attended his lectures live and work under his supervision. Rest in peace Prof. You will always be an inspiration to me.

@joshrichardson4527

Жыл бұрын

I love gun soooo much

I just came from Andrew Ng's ML course in order to understand SVMs better. I found something quite interesting. Andrew gets the optimization criterion at 21:49 from an altogether different place. He arrives at SVMs by modifying the logistic regression's cost function, and the optimization criterion emerges from the regularization portion of the cost function. He then explains why that leads to a maximum margin. In contrast, this professor starts by obtaining the margin width algebraically with the intention of maximizing it, and then explains why that leads to separating data. Pretty cool.

@astropiu4753

5 жыл бұрын

Same here. Now I'm trying to interrelate the parameters of the two approaches.

@-long-

4 жыл бұрын

lol same here, cheers. Great course from Prof. Andrew too but I couldn't understand everything so I was looking for alternative lecture

@rogerioluizsi

4 жыл бұрын

Same here!

@ritayanganguly7786

4 жыл бұрын

I'd argue this approach is working better for me.

@fruitbaskets7984

4 жыл бұрын

Which course are you taking? Thanks in advance!

RIP ! Prof Winston!!! you inspired lots of ppl!

@tobiasksr23

4 жыл бұрын

:(

@TomOtero1984

4 жыл бұрын

:(

@teenspirit1

4 жыл бұрын

He dead? That's very sad. He seemed like a nice fellow.

MIT offering free courses on KZread in the early moves is the ultimate education move. I respect it.

This is why MIT is MIT. Good work Prof and Thank you to the team. We hope to see more lectures related to Machine learning and Data science from MIT.

@immcguyver07

7 жыл бұрын

pushpender pareek, yes. for about $50,000, they will give you access to a year's worth of additional lectures.

@lobtyu

7 жыл бұрын

+immcguyver07 Don't forget the ability to work with or for top researchers, the exposure you get to other amazing students with a wide variety of programming backgrounds, the clubs you can join to collaborate with these other students, being part of a pipeline that regularly sends people to silicon valley which allows them to pay off student debt within a few years, or being part of a pipeline that regularly sends people to top grad schools which is the only way to get a job in academia.

@valken666

6 жыл бұрын

He's always out of breath, as if about to die. That's very annoying to me. lobtyu - Just read the papers, you'll be a much better researcher and for free.

The historical part of Vapnik’s story is very inspiring.

damn! this instructor's lines are so damn crisp!

@mcgil8891

5 жыл бұрын

mike johnston Bob ikr

Best explanation of SVM on internet !

@TheMix2ra

6 жыл бұрын

It is good!!! , I found a better one: kzread.info/dash/bejne/hXx2qM1qha-0nKg.html

Professor if you ever read this, THANK YOU. I was actually sad the lecture ended eventually. The world needs more teaching like yours.

Machine learning is one of the worst taught classes in schools today - lecturers who are too into implementations and don't understand the basics well enough themselves, don't have motivation to teach well, and overcrowded classes because everyone wants to be a data scientist.. Thank you MIT for releasing this gem into the public domain for millions to watch.. This was easily one of the best SVM lectures ever!!

@mitocw

5 жыл бұрын

Ackchyually... this is under a Creative Commons License (NC-BY-SA) and not in the Public Domain ...but we are glad you enjoyed it! =D

I wish my math prof had his sense of humor and conciseness! Maby I would be doing my math PhD now instead of coding

This is how things should always be taught. Patience, deep understanding and passion to teach. I wish I would've had a professor like him as a graduate student.

One of the best lectures I ever heard-methodical & extremely helpful!Thank you.I will definitely come back for more - appreciate this.

10:23 the way he interacts with the student. so nice.

RIP Prof Patrick this lecture is gold , Never saw anyone explain all the tiny details this smooth in less than an hour

That story about how SVM evolved gave me loadz of motivation. Great ideas always takes some gap and then immortalizes.

Simply loved it! Don't have any words for the professor who taught the sophisticated concepts with such simplicity...

I am grateful that I was given the opportunity to participate in this lesson. I really put a lot of thought into getting the double problem of SVM really into my head. Prof. Patrick Winston was the one who made it click for me. It is sad to read in the comments that we lost a great teacher who helped to make the world a smarter place.

@ahmedwesam7286

4 ай бұрын

You are lucky my friend, i wish if i could.

One of the best lectures I've seen, so concise and easy to follow :D

Helped me with my Statistical Machine Learning class. Thank you Professor. RIP

BRILLIANT. Massive respect for the knowledge and simplicity of the professor here.

This is a brilliant lecture!

The power of the rewind button in learning is actually phenomenal!

One of the best videos on SVM, which also explains the Kernalization so well.

Perfect explanation. so much better than anything else online

What a gem of an lecture, Trying to understand equations directly just makes you mug up somethings and like you never understand it fully. What I found is that when you actually run yourself through a simulation of what the inventor of the equation did and follow the footsteps than things start making sense eventually and you arrive at solution and you think huh that wasn't to hard. Rest in Peace Prof Patrick Winston world needs more professors like you really man. This is first video lecture of his I am watching and I can feel what a great man we lost!!

Really nice class. This professor managed to go through some tricky topics maintaining the simplicity and coherence of his argument.

This professor is very, very well spoken when it comes to explaining SVM's. Clear, concise, focused on one instance of one issue at a time... Many professors try to show you the entirety of the math while walking you through the conceptual ideas and it makes SVM's very difficult to learn! This man is quite the opposite! Great work! (And by math I didn't mean just showing the margins, graphs etc.. meant proof of the equations which two of my professors did in two separate machine learning/data science classes.)

MAN, that was good!! probably the best introduction to SVM available online.

For the record..Ive started watching one lecture and now I am watching the whole course...Patrick Winston is a marvellous teacher and I wish to watch *everything* this guy has to teach. Are there any other courses he teaches? If so, please record and put them online!

Fortunately, I found this video before my thesis defense tomorrow. Thank you so much, Prof. Patrick Winston. Keep up!

What a beautiful lecture. Thank you, Prof. RIP Prof Patrick Winston.

12:40 , that guy just saved me from suicide, I was like, "wtf, where did that w vector disappear!!" 😂😂😅😅

@amitgp2007

3 жыл бұрын

Me too......

@phuthangmaponopono1015

2 жыл бұрын

Same here lol

This lecture by Patrick Winston is simply amazing! His way of teaching is one of the most insightful approaches to highly technical subjects that I have ever encountered. I am so grateful to MIT for letting students all over the world to learn from such people as him. The lecture on boosting is also very good.

After going through many articles and online courses, i still didn't understood the idea of SVM clearly. This one is surely the best video on SVM available online. Thanks a lot professor.

Best lecture on SVM I have seen so far...Just loved the way he explained the concept and the functions! Gosh if I could just attend his lectures face to face

RIP Patrick!!!It is sad you are no longer with us. You are a great teacher..

RIP Professor, the world needs more people like you.

Excellent presentation that catches the subtle nuances of SVM and the thought processes that went into its creation. Fabulous!

When more than half the comments are along the lines of "best SVM explanation I've seen", you know you've stumbled upon a gem of a lecture. Great work, I'll be checking out as many of your other lectures as I can because of this.

@asinegaasinega

3 жыл бұрын

what do you expect? this is the difference between going to MIT and going everywhere else. It's not the knowledge that's the difference. It's how the teachers are able to relate the material in a very palatable fashion, that's the difference. I sometimes rue in my old age what I missed (because I didn't go to a good school) because i see the difference in my own understanding of things compared to those that went to good schools. It's not that I am not capable of understanding. It's that they have an in-depth grasp of the material because they sat under the tutilage of people like this professor. That's the difference between MIT and coursera or any other school folks.

@Iamfafafel

5 ай бұрын

it's annoying

Amazing lecture, i watched almost 3 times back to back, its always gives you always refreshing thoughts. My honour to see this lecture thanks prof, still teaching so many students like me. You are simply great.

"If you can't explain it simply, you don't understand it well enough." ~ Einstein Professor Winston clearly understands the topics he teaches.

The best explanation of SVM I have come across. Hats off to Prof Patrick.

Excellent explanation of SVM. Awesome job by the professor. clear, concise and has a story flow

I was watching the video and thinking "Wow, the pace of the lectures at MIT is pretty fast. These students must be really bright to follow the professor. No wonder that I'm not studying there". At the end, I found that, unbeknownst to me, I was watching it all along at the 1.25 speed.

@mcgil8891

5 жыл бұрын

eVul6 OMG... Thank you!! I just realized I was watching it at 1.5x

@Ash-cc1uj

5 жыл бұрын

i did the exact same thing

@da_lime

5 жыл бұрын

I am watching it with normal speed, I guess I need to set it on 0.5

@michaelmarcic9636

5 жыл бұрын

Thanx for the commend. I watched it on normal speed, but thought that this guy is very slow, so I put it on 1.25. now it's fine.

@veerpal5913

5 жыл бұрын

eVul6 donkey

Excellent! Simple explanation right down to the basics.

I am very thankful for all people that worked to bring this amazing lecture from Prof. Patrick Winston to people around the world.

Perfectly presented and explained. The best lecture on SVMs I've seen.

Like all students everywhere, I was watching this lecture and thinking, "if only I had had a teacher like Prof. Winston when I started in physics, I would have ...." Or at least, I would have had an easier time in all my other courses, and later in doing research, or just learning new things, like modern machine learning.

Wow. Best lecture for SVM I ever watched. Thanks a lot, MIT OpenCourseWare and Patrick Winston.

The best lesson on SVM that I've ever heard! Thanks for sharing!

This is one of the best explanation of SVM i have ever seen. This professor made this complex concept so easy to understand. KUDOS to him!!

Wow. This guys is the best teaching SVM.

Amazing lecture. Thank you and MIT in general. we love your priceless support to global education

This is an incredibly interesting lecture! Had to watch it twice and do some back and forth to fully understand, but really well explained!

Best SVM lecture I have seen. This professor does a great job of teaching the concept of SVM and the thought process behind it.

This single video is much more powerful than all videos available on youtube about SVM. so, lucky to found his lecture. Simplicity of teaching at its best. Love you prof. RIP.

The best SVM lecture ever! Thank you soooooo much!!!!

@amineech-cherif2386

7 жыл бұрын

Do you understand all of it ??!

@hunir1

7 жыл бұрын

I understand all of it in-fact this is really a basic intro, you shouldn't have a problem with this. If you do I suggest pausing the video at each stage and clear up on points that you feel you have understood. It has only been algebra and calculus.

@amineech-cherif2386

7 жыл бұрын

I agree that this intro is very easy to follow, but it is too abstract I think. Like for instance the mathematical conveniences, for example when we divide the W by 1/2 is not clear. Also, a thorough understanding of quadratic programming is needed to fathom the optimization part of the SVM. Simply put, this lecture does not cover the entirety of SVM.

@meghnanatraj3360

7 жыл бұрын

I guess it depends on how much you know initially. (beginner to advanced). This caters to the middle. Who have know some basic ML math and yet are new to ML concepts! Like me! :) So i guess its just perspective and he cannot cater to everyone in the audience! And no, I didn't understand every bit of it. ^_^

@amineech-cherif2386

7 жыл бұрын

Exactly. In my case, I had to study some of the basics of Calculus 2, like the Lagrangian, as in my computer science dept we don't study it.

one of the most inspirational lectures ever. Gave me the same energy and motivation like my first courses at Engineering school trying to bring together Finite Element Methods, approximation theory and functional analysis and the code in machine language or fortran.

Excellent explanation Professor Winston. You have the rare skill of explaining both the math and its motivation clearly to a novice audience.

The Caltech prof' Yaser Mofasa explained it another way (more mathy), but this is clearer.

Wow, that is an excellent lecture on SVM, thank you! Hang in there until the "miracle" part that starts at 43:30; then he shows the transformations that make SVM amazing.

He did the miracle of teaching things which others struggle with for 3+ hours. Wow, what a class? Miss you Professor. We needed lot more classes from you and all of them are in youtube ;)

best svm class i have ever had, really solve my math concerns

i watched several times back and forth, finally, i THINK i understand

great lecture! Thanks MIT OCW

Cristal clear explanation! A good professor is like this: a bridge (instead of a wall) between the student and the matter. Congratz!

professor is good ,the formula goes step by step ,very clear ,it's wonderful to watch this lecture with the paper:A tutorial on support vector machine for pattern recognition!

What a professor, may he rest in peace

best explaination! I saw many materials that is very hard to understand!

@sleyking514

4 жыл бұрын

hello

This is by far the best lecture on support vector machine. just amazing lecture- a must watch

This is an absolutely amazing lecture. Soo much goodness and wisdom. RIP Prof. and thank you.

amazing explanation !!! Most other tutors skip the algebra part which makes learning SVM a black box but this delineated explanation of prof patrick is amazingly simple and thorough. Thanks Prof patrick and MIT opencourseware.

Note for myself and others: the reason in English why (dL / dw)[(1/2) |w|^2] = w is because dL/dw is a directional derivative. Equivalently, we are rotating the coordinate system such that the w direction is an axis, and taking the partial derivative with respect to w. We can now treat |w|^2 just like x^2 if we're doing normal calculus, particularly because |x|^2 = x^2 for all x.

@jagannathan1014

Жыл бұрын

Thanks a lot man i was confused but went on with the lecture since i didnt want to get distracted, i went in the comments anyway and saw this within a single scroll , You dropped this: 👑

@anushka.narsima

Жыл бұрын

omg thank you so much, I've been looking around for the past few days to get past that step

@Iamfafafel

5 ай бұрын

i guess dL/dw means consider the vector of partials (dL/dw^1,...,dL/dw^n) where w=(w^1,...,w^n). i can't really make sense of your comment

Thought I would add to the voices of approval. I've just completed an elementary Machine Learning course (SVM wasn't on it), and have watched quite a few youtube videos, including those from Andrew Ng. The clarity of language, display, sequence of demonstration and speed of this lesson are absolutely spot on. Thanks !

One of my favourite math lectures on the internet. I probably wrote the same comment some years ago, but here I go again. Thanks to Professor Winston and everybody else who made this available. I do teach math myself and I deeply admire how he boils it down to the essentials without leaving anything important out. Just looking at how little there is on each board and how clearly the beauty of the subject shines through ... a true master class. And I always thought we should teach more math history, so it is great to hear from him how the ideas actually developed.

Best explanation I have seen so far. Much better than Andrew Ng in my opinion.

That is the best chalk I've ever seen.

The "widest street approach" ... oh man! Perhaps the only lecturer that can throw "gems" like that + the story at the end... In three words he explained everything!

i have an exam tommorow in india and Prof Patrick teached me what my indian प्रोफ़ेसर couldnt teach me in a whole semester. You sir saved my life...

A combination of this lecture with a 10min lecture on SVMs by Victor Lavrenko worked amazing for me!

@OttoFazzl

7 жыл бұрын

I went to that video and found it really useful, thanks for sharing.

@venkateshsv7434

7 жыл бұрын

Shadi Rahimian .. I really don't know what is this.. :-( I. very basic

@alifawzi4566

7 жыл бұрын

thank you shadi itis god advise for victor video

@abdullahalsaidi6009

6 жыл бұрын

Thanks alot , his video was very useful

@saliheenafridi9116

4 жыл бұрын

Thanks for telling us

For everyone watching, note that there is a mistake on the board. At 19:20 , a student asked a correct clarification. w dot xPlus should be (1-b) , whereas w dot xMinus should be (-1-b), then you can get the 2/norm(w) equation.

@sajay96

2 жыл бұрын

It's written as 1+b because negative value of w dot xMinus is considered, so not a mistake.

@cheeloongsoon9090

2 жыл бұрын

@@sajay96 I guess he corrected it at 19:53

This is the best SVM lecture I have ever heard! Everything is so well explained, so that it helped my ambiguous understanding to be clear. Thanks a lot for sharing your knowledge. RIP

Someone give this man a medal. Pure brilliance. Thanks for sharing.

12:42 Thanks, Brett, whoever you are. Panicked for a few minutes until you chimed in 😂🙌🏾

@bitbyte8177

3 жыл бұрын

lol same.

Brilliant Lecture ... Thank You :)

I pay my sincere thanks to the professor for an extraordinary lecture. Amazing. Good Teachers are the Gods.

That was amazing. It was like a mixture of math lecture and play. Thanks professor.

Thanks a lot for sharing this. Now I understand the equation. Maybe tomorrow I will forget about this though, lol.

@WarnerBrosWannaB

9 жыл бұрын

lol watch it again!

Very good lecture, clear explanation and good pace :) One correction: 44:30 (u*v+1)^n is a polynomial kernel, not a linear kernel.

@girrajjangid4681

4 жыл бұрын

put n=1 generally, this equation is linear and the value of 'n' denotes the dimension

Kernel trick, that has to be one of the most beautiful ideas I've seen (so far) in any branch of mathematics.

I didn't really want to watch this video from how long it was and I just wanted to get a quick rundown on the topic of SVMs, but I saw the comments and decided to watch the whole thing and, my god, am I glad I did. What an incredible lecturer and he made the topic crystal clear. Anyone struggling with SVMs should 100% find 50 minutes to just sit down and watch this and you'll be so glad you did.

Shotout to Vapnik and Winston, loves and respects from Turkey :)

"This needs to be in a tool bag of every civilized person" Oh wow, at MIT they have a very specific idea of what 'civilized' means

@Islam101_Uganda

4 жыл бұрын

😂😂😂😂

@shapedsilver3689

4 жыл бұрын

For a second I was going to try to defend them but honestly, I think they kinda do

@teenspirit1

4 жыл бұрын

Let's imagine that everyone knows how to separate pluses from minuses optimally. The world would be a... I guess it would be the same.

@i486DX66

3 жыл бұрын

He stated necessary conditions. Not sufficient.

The best explanation with both intuition and math I ever learnt among all videos about SVM

“It's time for more coffee”