Lecture 01 - The Learning Problem
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- 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.com/us/course/ma... and on the course website - work.caltech.edu/telecourse.html
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.org/licenses/b...
This lecture was recorded on April 3, 2012, in Hameetman Auditorium at Caltech, Pasadena, CA, USA. - Věda a technologie
![The Complete Machine Learning Roadmap [2024]](/img/n.gif)
Anyone watching in 2024?
Yes, please add more videos on Al
Yeah
yup
👍
Hello
This is what I call "A real Professor" , congratulations.
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
Prof. Yaser is a great teacher!!
Can you imagine this material was on CZcams 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!
The professor explains everything so clearly! The video and audio have high quality! The questions asked by the students have high quality!
One of the most wholesome lectures I have ever experienced, and especially useful for me and my particular situation. Thank you very much indeed!
Meus sinceros agradecimentos aos tradutores, ao caltech e ao professor. Conteúdo de qualidade e gratuito.
Crystal clear exposition! This is the best intro to ML I have seen on YT.
One of the best teachers I have ever seen! Congratulations, Professor Mustafa!
Wow, I could not find any other resource that explained the intuition behind using the inner product. What a great teacher.
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 :)
2021, and still it's a diamond. Kudos to the teacher.
Prof. Yaser is a great Teacher. I'm seeing this for the first time (October 2019). Still the best.
Thank you Professor Yaser Abu-Mostafa and to all you collogues and contributors. Most helpful and enjoyable. I'm impressed with Caltech.
Big appreciation for whoever uploaded this video, It's such a huge help.
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.
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 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
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.
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.
Wow, superb lecture. Decided to watch the whole series. Thanks for uploading it.
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 CZcams. 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!
After Gilbert Strang's Linear Algebra course, probably the best course on the web.
Definitely agree
High praise; so far it seems so
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.
This lecturer is incredible
Awesome teacher, teaching from realization...everything he makes so easy...kind of idol to me, added with his smile and ascent ...yes Sensational..
In 2022 still I find his way of teaching way more informative rather than any recourses online or at Uni . great job
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.
I think it is the best machine learning introduction I have watched so far
Love this. Thanks for the lectures CalTech! Perfect for the stay at home, wannabe grad student. (Like me!)
Many thanks for making this treasure online. Clear and straight forward.
what a nice Professor : ) Keep going forward to deliver such an amazing lecture.
Greatest professor ever seen. Thank you!
The best lecture series I have seen so far.
Great first lesson. I'm trying to get better at "skipping the introduction", and this is one instance I'm glad I did. Thanks! :)
Enlightening analogy on unsupervised learning (learning Portugal language). Great teacher!
Perfect way of giving lesson.. I have never understood ML course this way
I like the examples given by the professor! Vivid and thoughts provoking!
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.
I'm just getting started learning ML. This lecture provides an excellent overview of the field.
Good lesson, really can learn a lot. The best part is easy to understand and very interesting
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.
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.
جهد رائع و عمل عظيم .. مشكور دكتور ع الشرح الواضح
Excellent Introductory Lesson Professor :)
Thank you for uploading it online :D
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.
Amazing, best introduction to ML I have heard so far
This was a brilliant introduction to machine learning !
Wonderful! Many thanks to the channel for providing subtitles in Portuguese.
This is the best Machine Learning course. 11 out of 10.
The Great Lecture Sir ,You have put in lot of thought in creating this Presentation
. Brilliant work !!
Excellent lecture. Way better than stanford because of low resolution and poor audibility.
i think one of the best introduction videos to machine learning! :) thanks a lot
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
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 ^.^
What an Excellent Professor!, Caltech Please upload more courses.
Muitas palmas com honras para esse professor!
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!
now this is a great teacher !
What a great teaching..!!
Salute you Sir..
Very nicely explained and taught..
Thank you..
YEY!!! Thank you very much for such an amazing course!!!
Excellent. Thank you Caltech and Prof Yaser Abu.
Very good lecture!!! He is also answering questions from the online audience!
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
أفضل محتوى شكرا جزيلا لكم دكتور ياسر
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.
Absolutely well done and definitely keep it up!!! 👍👍👍👍👍
thnk u caltech n honourable professor for this noble work
Great course, in depth coverage, and wonderful presentation.
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.
Very simple, practical and understandable. Thanks
Top Class Lecture. Great Professor. Brilliant.
Thank you for this amazing lecture. Top notch.
Best lectures of machine learning with clear voice :) Thanks Professor
Thank you Prof. Yaser, very useful lecture. thanks for sharing
This man is great! Hats off!
Very interesting and practical, a good start today!
Exceptional professor indeed !!!
Great Professor! Congratulations!
O.o more machine learning resources awesome. Thank you for the resources!
Excelente la introduccion al curso. Muy buen profesor.
Breathe of fresh air. Thank you sir
Great content and taught in an Excellent manner
2021 , you are still the best lecturer
Thank you for this great lecture.
This is simply SUPERB.
Simply Stated: You are Amazing.
What a great teacher!
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)
I like his pronunciation. I'm even able to listen to him without subtitle.
Amazing lecture, thank you so much
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
thanks sir,this lecture is very helpful for every beginers
Brilliant lecture and brilliant lecturer. Thanks.
An amazing lecture, I would like to teach like this man. Exelecnt content too btw.
teaching with passion..