Lecture 01 - The Learning Problem
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- เผยแพร่เมื่อ 25 ส.ค. 2024
- The Learning Problem - Introduction; supervised, unsupervised, and reinforcement learning. Components of the learning problem. Lecture 1 of 18 of Caltech's Machine Learning Course - CS 156 by Professor Yaser Abu-Mostafa. View course materials in iTunes U Course App - itunes.apple.c... and on the course website - work.caltech.ed...
Produced in association with Caltech Academic Media Technologies under the Attribution-NonCommercial-NoDerivs Creative Commons License (CC BY-NC-ND). To learn more about this license, creativecommons...
This lecture was recorded on April 3, 2012, in Hameetman Auditorium at Caltech, Pasadena, CA, USA.
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This is what I call "A real Professor" , congratulations.
Prof. Yaser is a great teacher!!
Anyone watching in 2024?
Yes, please add more videos on Al
Yeah
yup
👍
Hello
Can you imagine this material was on TH-cam since 2012! Thanks Caltech and professor Yaser for making it free.
Yaser, you are not just a scientist but also an amazing teacher -- your students must be lucky to have you!
I have gone through many courses attempting to learn machine learning (no pun intended), and this one is definitely the best. 10/10
+Tyler Waite Same here and I agree with you. It is the best. Takes you from abstract idea to deeper concepts for better and easier understanding. What other courses did you take btw?...I could use some if there is any I didnt come across on my own.
Besides this one, I mainly looked at the Stanford and MIT OpenCourseWare on TH-cam. It also looks like there is one my mathematicalmonk (looks similar to Khan Academy) that I would definitely look into if I had more time.
Thanks man...I had never heard of mathematical monk before. Glad you mentioned it. Surely gonna follow his videos.
one by Ali ghodsi and Nando de freitas are also good
My teacher is apparently using this exact course as a basis. The power points are super similar and all!
Prof. Yaser is a great Teacher. I'm seeing this for the first time (October 2019). Still the best.
After Gilbert Strang's Linear Algebra course, probably the best course on the web.
Definitely agree
High praise; so far it seems so
Very proud of my country Egypt and of the brilliant prof: Yaser
مش متخيلة انا قاعد مبسوط منه ازاي طول المحاضرة
جودة المحتوي مذهلة ما شاء الله
One of the best teachers I have ever seen! Congratulations, Professor Mustafa!
2021, and still it's a diamond. Kudos to the teacher.
If you dont understand everything watch it again I some how missed all the important parts the first time and was confused but then I watched it a second time and it was amazing. I also like how he is smiling if he gets a question he can answer. :D
Great lecture.
I THINK all machine learning lectures have to be watched twice :D
It's good to hear this. Yeah I do the same. I'm sick of all the people on here saying they watch it at 1.25 speed. I guarantee I am getting a better job than those people.
Great thing is i can learn Machine Learning from one of the best professor in the world and bad luck is even not single professor aware about ML in my collage.
You should try a college instead of a collage, you may have better luck.
For a beginner this is the course I find the best to start with. Thank You Professor.
This professor is awesome and funny at the same time.
Am I the only one who's addicted to Prof. Abu-Mostafa's adorable accent?
he is egyptian BTW
I am bro
No, actually it's hard to understand. The reason I endure his accent is his math talent, which is the most important factor.
He sounds like king julian from madagascar
Nope. It's a really nice accent. Makes everything sound friendly ^.^
48:05 It's some kind of revelation. I'm enjoying this lecture so much! Thank you!
And Yaser is so intelligent and pleasant person.
this guy knows a lot about a lot, you can tell by the confidence with which he navigates the subject and how he is aware of the limits of the theory
In 2022 still I find his way of teaching way more informative rather than any recourses online or at Uni . great job
Crystal clear exposition! This is the best intro to ML I have seen on YT.
I had to come to comments section and search the man behind this lecture.
A wonderful lecturer wish all teachers could teach like him
My Learning Algorithm predicts that the professor loves his tea.
This is what I call "A real Professor" , congratulations.
Meus sinceros agradecimentos aos tradutores, ao caltech e ao professor. Conteúdo de qualidade e gratuito.
My Learning Algorithm predicts that the professor loves his tea.
I think it rather "prefers tea to other drinks"
He might be the mathematical equivalent of King Henry, for Professor is one of the best AI teachers ever and King Henry loved his tea
Perfect way of giving lesson.. I have never understood ML course this way
Excellent lecture. Way better than stanford because of low resolution and poor audibility.
Thank you Professor Yaser Abu-Mostafa and to all you collogues and contributors. Most helpful and enjoyable. I'm impressed with Caltech.
who on earth disliked and downvoted this video?..the professor's teaching from just the first lesson has inspired me to research into other ML ANNs beside just the perceptron like the Hopfield NN and gain a megatonne of info...from just the first damned lesson..and i was simply clicking on recommendations goddamit...had no clue about ML..those damned lucky students
Love this. Thanks for the lectures CalTech! Perfect for the stay at home, wannabe grad student. (Like me!)
I'm just getting started learning ML. This lecture provides an excellent overview of the field.
l came here by chance and i surprised that this prof is Egyptian ,i am really proud of you sir you have a great style in teaching
The professor explains everything so clearly! The video and audio have high quality! The questions asked by the students have high quality!
جهد رائع و عمل عظيم .. مشكور دكتور ع الشرح الواضح
Seriously, this is the best lecture on #ML available on web. Brilliant explanation and the examples at the beginning (specially the Credit approval one) is well explained and fits exactly into introduction to ML.
This kind of learning resource is useful for providing professionals with the right intuition and conceptual framework in the technology of Machine Learning. More power to California Institute of Technology and Professor Yaser Abu-Mostafa.
Ray Romano knows a lot about machine learning.
+Matt McConaha : Raymond, Raymond, Raymond. Everybody talks about Raymond. Only Raymond. E....EEverybody loves Raymond.
+Matt McConaha Na, that's a young Netanyahu...
Don't compare this great teacher with a genocidal war criminal @@putinscat1208
Wow, I could not find any other resource that explained the intuition behind using the inner product. What a great teacher.
Que obra! Por sua naturalidade de conhecer profundamento o que ministra, com generosidade e vontade ao ensinar, que acaba por nos revelar que o mestre é insubistituivel !!! Por qquer processo racional que seja, como eu depreendo daquilo que disseram Gödel, Newton da Costa, Fco. Dória e ai vai ... mestres ... E faz de um autor e professor como este um daqueles que a gente sente que nos liberta pela informação e não o oposto!
I think it is the best machine learning introduction I have watched so far
This is the best Machine Learning course. 11 out of 10.
what a nice Professor : ) Keep going forward to deliver such an amazing lecture.
Big appreciation for whoever uploaded this video, It's such a huge help.
It was great presentation. Kudos to Prof Yaser Abu-Mostafa for the same. It brought clarity on the fundamentals which were not clear from the books.
The perceptron function hypothesis is actually a logistic regression, that guy makes it quite simple to understands the difference between the hypothesis/target function and the learning algorithm, the later is the true innovation for statisticians and econometricians.
Enlightening analogy on unsupervised learning (learning Portugal language). Great teacher!
This lecturer is incredible
Good lesson, really can learn a lot. The best part is easy to understand and very interesting
Awesome teacher, teaching from realization...everything he makes so easy...kind of idol to me, added with his smile and ascent ...yes Sensational..
Straight to the point with practical examples. After 10 minutes you already know what the course is about and if it is interesting to you. The best Lecture 1 of a course I have seen on any subject :)
Sensacional!
Neural Nets ?
Ohh tu aí, mano. Sou seu fã, me ajudou em muitos mapas de Karnout na faculdade hehe
Wow, superb lecture. Decided to watch the whole series. Thanks for uploading it.
32:00 wow crystal clear
Many thanks for making this treasure online. Clear and straight forward.
Man... They had a better teacher in 2012 than ive got in 2020
One of the most wholesome lectures I have ever experienced, and especially useful for me and my particular situation. Thank you very much indeed!
2021 , you are still the best lecturer
Amazing, best introduction to ML I have heard so far
The best lecture series I have seen so far.
Best lectures of machine learning with clear voice :) Thanks Professor
now this is a great teacher !
I like the examples given by the professor! Vivid and thoughts provoking!
Examples of (h, a) where h belongs to H and a belongs to A:
(Perceptron Model, Perceptron Learning Algorithm)
(Neural Network, Back Propagation)
(Support Vector Machine, Quadratic Programming)
Greatest professor ever seen. Thank you!
Great video! I like the puzzle part (53:00) This is the reason why I don't like most IQ tests. They show you just 5 sometimes even unordered pictures and want you to choose the one which belongs to them. There are many solutions usually.
This was a brilliant introduction to machine learning !
I encourage people to watch this lecture at 1.25x speed.
Jim Gorman I stepped it up to 1.5x :)
Jim Gorman Very useful tip ! I recommend it too. :)
Iqbal Nouyed Gunna one up you at 2x :P
Jim Gorman As if these people don't talk fast enough.
+Jim Gorman I kind of like this guy's voice though, and it doesn't sound as good at 1.5x speed.
Breathe of fresh air. Thank you sir
Awesome Video.. A must watch for any person interested in Machine Learning OR any person who wants to get interested in Machine Learning :)
Excellent. Thank you Caltech and Prof Yaser Abu.
Great first lesson. I'm trying to get better at "skipping the introduction", and this is one instance I'm glad I did. Thanks! :)
Thank you for this great lecture.
Hello from Prof. Glasmachers class :D
Very well done. Obviously Prof.Yaser has an in-depth knowledge and has put in lot of thought in creating this class. Good work, Sir.
Absolutely well done and definitely keep it up!!! 👍👍👍👍👍
I like his pronunciation. I'm even able to listen to him without subtitle.
What a great teacher!
Exceptional professor indeed !!!
This man is great! Hats off!
Thank you Prof. Yaser, very useful lecture. thanks for sharing
I finally got the book and I'm glad I did.
I love the professor's humor.
What a great teaching..!!
Salute you Sir..
Very nicely explained and taught..
Thank you..
أفضل محتوى شكرا جزيلا لكم دكتور ياسر
Wonderful! Many thanks to the channel for providing subtitles in Portuguese.
27:40 - "trying to arrive at this happy solution". hahaha
I am watching this lecture at the end of 2020 ... guess what? ML basics are the same since 2012 ... not a lot has changed despite the hype you hear now and then!
Very simple, practical and understandable. Thanks
thnk u caltech n honourable professor for this noble work
i think one of the best introduction videos to machine learning! :) thanks a lot
What an Excellent Professor!, Caltech Please upload more courses.
Top Class Lecture. Great Professor. Brilliant.
Very good lecture!!! He is also answering questions from the online audience!
simple yet detailed explanations
This is simply SUPERB.
Just started taking the online course and it exceeded my expectations. Love your teaching method and the "practical" topics included. Also thanks for including the QA session.
Excelente la introduccion al curso. Muy buen profesor.
The Great Lecture Sir ,You have put in lot of thought in creating this Presentation
. Brilliant work !!
YEY!!! Thank you very much for such an amazing course!!!
i never thought sipping tea would be so funny and intriguing .
teaching with passion..